Change In Affinity Research Articles

Molecular Dynamics Simulations Suggest SARS-CoV-2 3CLpro Mutations in Beta and Omicron Variants Do Not Alter Binding Affinities for Cleavage Sites of Non-Structural Proteins

In the course of SARS-CoV-2 infection, the 3CL or nsp5 protease plays a pivotal role as the most important viral protease required for the maturation of viral proteins during host infection. Herein, we simulated for 500 ns 3CLproWT, 3CLproH41A, 3CLproBeta, and 3CLproOmicron, in complex with the substrates nsp 4|5 and nsp 5|6. Our results show that mutations in the 3CLpro present in the SARS-CoV-2 variants of concern (VOCs) did not lead to significant conformational changes or changes in substrate binding affinities. However, significantly high cleavage rates for the boundary between nsp4 and nsp5 were obtained for 3CLproBeta and 3CLproOmicron and may play a key role in viral replication and virus fitness gain. Our molecular dynamics data suggest that the cleavage rate of nsp4|5 may be related to the increased amount of viral load observed for these VOCs, releasing more nsp4 than other non-structural proteins. This study is limited by being fully computational. However, our results suggest that the cleavage rate may be affected by mutations. Based on our hydrogen bonding analyses, we also discovered that Gly143 and Glu166 are key residues in substrate recognition, suggesting that these residues may be incorporated as pharmacophoric centers for Beta and Omicron variants in drug design. Our results suggest that Gly143 and Glu166 are essential residues to interact with Gln6 of the different substrates and, therefore, are potential broad-spectrum pharmacophoric centers of SARS-CoV-2 3CLpro.

Genetic fine-mapping reveals single nucleotide polymorphism mutations in the MC1R regulatory region associated with duck melanism.

Birds are among the most colourful terrestrial vertebrates, with various plumage colours and patterns. We conducted a genome-wide association study (GWAS) on an intercross F2 population of Pekin ducks and mallards (n=722) and identified a 1.57-Mb genetic region (Chr11: 20,176,480-21,750,101 bp) related to duck melanism. Fine mapping by linkage disequilibrium (LD) and FST analysis narrowed the final candidate region to a region of 22,500 bp (Chr11: 20,677,500-20,700,000 bp) including three coding genes, TCF25, MC1R and TUBB3. Combined with transcriptome and qRT-PCR analysis, MC1R was identified as the unique genetic locus responsible for black plumage in ducks, and it was significantly more highly expressed in the feather bulbs of black ducks. We also identified 52G > A (Chr11: 20,696,354G > A) and 376G > A (Chr11: 20,696,678G > A) mutations in the MC1R coding region that have been widely studied in ducks. In addition, structural variations (SVs) were screened by nanopore sequencing, and no significant SV was found to be associated with the duck black plumage trait. However, we identified four novel single nucleotide polymorphisms in the MC1R regulator region (Chr11: 20,678,412G > A, Chr11: 20,679,236G > A, Chr11: 20,692,496 A > G and Chr11: 20,692,791 A > G) that had a strong association with the black plumage phenotype of ducks and combined with potential changes in transcription binding affinities. The luciferase reporter gene assay demonstrated that Chr11: 20,678,412G > A and Chr11: 20,679,236G > A led to significant promoter activity changes. Our research emphasizes the importance of MC1R regulatory region mutation in determining the duck black plumage phenotype, and these results expand our understanding of the genetic mechanism underlying duck plumage colour.

Temperature-regulation liquid gating membrane with controllable gas/liquid separation

Membrane separation technology with the ability to regulate gas/liquid transport and separation is critical for environmental fields, such as sewerage treatment, multiphase separation, and desalination. Although numerous membranes can dynamically control liquid-phase fluids transport via external stimuli, the transport and separation of gas-phase fluids remains a challenge. Here, we show a temperature-regulation liquid gating membrane that allows in-situ dynamically controllable gas/liquid transfer and multiphase separation by integrating a thermo-wettability responsive porous membrane with functional gating liquid. Experiments and theoretical analysis have demonstrated the temperature-regulation mechanism of this liquid gating system, which is based on thermo-responsive changes of porous membrane surface polarity, leading to changes in affinity between the porous membrane and the gating liquid. In addition, the sandwich configuration with dense Au-coated surfaces and heterogeneous internal components by a bistable interface design enables the liquid gating system to enhance response sensitivity and maintain working stability. This temperature-regulation gas/liquid transfer strategy expands the application range of liquid gating membranes, which are promising in environmental governance, water treatment and multiphase separation.

Evolutionary relevance of single nucleotide variants within the forebrain exclusive human accelerated enhancer regions

BackgroundHuman accelerated regions (HARs) are short conserved genomic sequences that have acquired significantly more nucleotide substitutions than expected in the human lineage after divergence from chimpanzees. The fast evolution of HARs may reflect their roles in the origin of human-specific traits. A recent study has reported positively-selected single nucleotide variants (SNVs) within brain-exclusive human accelerated enhancers (BE-HAEs) hs1210 (forebrain), hs563 (hindbrain) and hs304 (midbrain/forebrain). By including data from archaic hominins, these SNVs were shown to be Homo sapiens-specific, residing within transcriptional factors binding sites (TFBSs) for SOX2 (hs1210), RUNX1/3 (hs563), and FOS/JUND (hs304). Although these findings suggest that the predicted modifications in TFBSs may have some role in present-day brain structure, work is required to verify the extent to which these changes translate into functional variation.ResultsTo start to fill this gap, we investigate the SOX2 SNV, with both forebrain expression and strong signal of positive selection in humans. We demonstrate that the HMG box of SOX2 binds in vitro with Homo sapiens-specific derived A-allele and ancestral T-allele carrying DNA sites in BE-HAE hs1210. Molecular docking and simulation analysis indicated highly favourable binding of HMG box with derived A-allele containing DNA site when compared to site carrying ancestral T-allele.ConclusionThese results suggest that adoptive changes in TF affinity within BE-HAE hs1210 and other HAR enhancers in the evolutionary history of Homo sapiens might have brought about changes in gene expression patterns and have functional consequences on forebrain formation and evolution.MethodsThe present study employ electrophoretic mobility shift assays (EMSA) and molecular docking and molecular dynamics simulations approaches.

Resident species, not immigrants, drive reorganization of estuarine fish assemblages in response to warming.

Climate change is reshaping biological communities, as species track environmental temperature. Assemblage reorganization is underpinned by shifts in species abundance and distribution, but studies often focus on documenting compositional turnover. As a consequence, phenomena such as the tropicalization of temperate communities have been widely associated with increased occupancy of warm-affinity species. Abundance-weighted change in thermal affinity can be tracked with the Community Temperature Index (CTI), and decomposed into four processes: tropicalization (increasing warm-affinity), borealization (increasing cold-affinity), deborealization (decreasing cold-affinity), and detropicalization (decreasing warm-affinity). Further evaluation of these processes according to species persistence (i.e., immigrant, emigrant, and resident) may provide insights on whether novel communities emerge primarily from local shifts in species abundance or distribution. Using long-term data on fish assemblages undergoing climate change's effects across 19 temperate estuaries surveyed for at least 20 years, we hypothesized (1) deborealization is the main process reshaping communities under climate change, and (2) the contribution of resident species to processes reshaping communities surpass the ones from immigrants and emigrants. Community dissimilarity was calculated through the Temporal Beta Index (TBI), which was further decomposed into species and individual losses and gains. These values were then used as effect sizes in the meta-analyses performed to detect systematic trends in assemblage reorganization in response to climate change. We also calculated CTI and the strength of temperature-related processes for resident, immigrant and emigrant species. Species and individual gains outweighed losses in estuaries. Temperature was correlated with changes in species abundance, but not occurrence. Fish abundance decreased with warming, and initially cooler estuaries gained more fish than warmer ones. Novel communities were shaped by a variety of processes, but mainly tropicalization. Assemblage reorganization was primarily driven by shifts in abundance of resident species with distinct thermal affinities, while contributions of arriving and exiting species played a secondary role. These findings reveal that novel communities are drawn primarily from the local species pool, due to changes in climate-related drivers that favor distinct resident species.

Single nucleotide variations encoding missense mutations in G protein-coupled receptors may contribute to autism.

Autism is a neurodevelopmental condition with a range of symptoms that vary in intensity and severity from person to person. Genetic sequencing has identified thousands of genes containing mutations in autistic individuals, which may contribute to the development of autistic symptoms. Several of these genes encode G protein-coupled receptors (GPCRs), which are cell surface expressed proteins that transduce extracellular messages to the intracellular space. Mutations in GPCRs can impact their function, resulting in aberrant signalling within cells and across neurotransmitter systems in the brain. This review summarises the current knowledge on autism-associated single nucleotide variations encoding missense mutations in GPCRs and the impact of these genetic mutations on GPCR function. For some autism-associated mutations, changes in GPCR expression levels, ligand affinity, potency and efficacy have been observed. However, for many the functional consequences remain unknown. Thus, further work to characterise the functional impacts of the genetically identified mutations is required. LINKED ARTICLES: This article is part of a themed issue Therapeutic Targeting of G Protein-Coupled Receptors: hot topics from the Australasian Society of Clinical and Experimental Pharmacologists and Toxicologists 2021 Virtual Annual Scientific Meeting. To view the other articles in this section visit http://onlinelibrary.wiley.com/doi/10.1111/bph.v181.14/issuetoc.

PSnpBind-ML: predicting the effect of binding site mutations on protein-ligand binding affinity

Protein mutations, especially those which occur in the binding site, play an important role in inter-individual drug response and may alter binding affinity and thus impact the drug’s efficacy and side effects. Unfortunately, large-scale experimental screening of ligand-binding against protein variants is still time-consuming and expensive. Alternatively, in silico approaches can play a role in guiding those experiments. Methods ranging from computationally cheaper machine learning (ML) to the more expensive molecular dynamics have been applied to accurately predict the mutation effects. However, these effects have been mostly studied on limited and small datasets, while ideally a large dataset of binding affinity changes due to binding site mutations is needed. In this work, we used the PSnpBind database with six hundred thousand docking experiments to train a machine learning model predicting protein-ligand binding affinity for both wild-type proteins and their variants with a single-point mutation in the binding site. A numerical representation of the protein, binding site, mutation, and ligand information was encoded using 256 features, half of them were manually selected based on domain knowledge. A machine learning approach composed of two regression models is proposed, the first predicting wild-type protein-ligand binding affinity while the second predicting the mutated protein-ligand binding affinity. The best performing models reported an RMSE value within 0.5 - 0.6 kcal/mol-1 on an independent test set with an R2 value of 0.87 - 0.90. We report an improvement in the prediction performance compared to several reported models developed for protein-ligand binding affinity prediction. The obtained models can be used as a complementary method in early-stage drug discovery. They can be applied to rapidly obtain a better overview of the ligand binding affinity changes across protein variants carried by people in the population and narrow down the search space where more time-demanding methods can be used to identify potential leads that achieve a better affinity for all protein variants.

Predicting binding affinity changes from long-distance mutations using molecular dynamics simulations and Rosetta.

Computationally modeling how mutations affect protein-protein binding not only helps uncover the biophysics of protein interfaces, but also enables the redesign and optimization of protein interactions. Traditional high-throughput methods for estimating binding free energy changes are currently limited to mutations directly at the interface due to difficulties in accurately modeling how long-distance mutations propagate their effects through the protein structure. However, the modeling and design of such mutations is of substantial interest as it allows for greater control and flexibility in protein design applications. We have developed a method that combines high-throughput Rosetta-based side-chain optimization with conformational sampling using classical molecular dynamics simulations, finding significant improvements in our ability to accurately predict long-distance mutational perturbations to protein binding. Our approach uses an analytical framework grounded in alchemical free energy calculations while enabling exploration of a vastly larger sequence space. When comparing to experimental data, we find that our method can predict internal long-distance mutational perturbations with a level of accuracy similar to that of traditional methods in predicting the effects of mutations at the protein-protein interface. This work represents a new and generalizable approach to optimize protein free energy landscapes for desired biological functions.

Temperature-Dependent Affinity Changes in Substrate Binding Affect the Cleavage Activity of BthC2c1.

The CRISPR-Cas system is an adaptive immune mechanism for bacteria and archaea to resist foreign invasion. Currently, Cas9 and Cpf1 have been widely studied and applied in gene editing. C2c1 is a newly discovered CRISPR-Cas system endonuclease. It has broad application prospects due to its small molecular weight and high substrate recognition specificity. Bacillus thermoamylovorans C2c1(BthC2c1) was expressed in E. coli C43 (DE3) competent cells, purified, and the BthC2c1-sgRNA-dsDNA complex was assembled. The effect of temperature on the cleavage ability of the BthC2c1 system was investigated. The cDNA of BthC2c1 was cloned into the vector pGEX-6P-1. BthC2c1 was expressed in E. coli C43(DE3) cells and purified using a GST affinity column and FPLC. The sgRNAs were transcribed and purified in vitro, and the complexes were assembled by gel filtration chromatography. The enzyme cleavage activity of BthC2c1 at different temperatures was investigated using an in vitro cleavage assay. Microscale Thermophoresis detected the affinity of the BthC2c1-sgRNA complexes to substrate DNA. BthC2c1 proteins were prokaryotically expressed and purified. The complex of BthC2c1 with sgRNA and dsDNA was assembled. In vitro cleavage assay results showed that BthC2c1 cleaved the target DNA at temperatures ranging from 37°C to 67°C. The cleavage ability of BthC2c1 at 42oC was stronger than that at 37oC. The results of affinity detection showed that the affinity between the BthC2c1-sgRNA complex and ds36/36 at 42oC was stronger than that at 37oC. In this study, BthC2c1 was expressed, purified, and assembled into a complex with sgRNA and dsDNA. BthC2c1 cleaved DNA within the temperature range of 37oC to 67oC. The affinity of BthC2c1-sgRNA to DNA at 42°C was significantly enhanced than that at 37°C. It may be related to its stringent substrate recognition pattern, which differs from Cas9 and Cpf1. The temperature-dependent affinity changes of substrate binding may be part of the reason for the stronger cleavage activity of BthC2c1 at 42oC. This study may provide an experimental basis for optimizing and modifying the C2c1 gene editing system.

Abstract PD10-01: PD10-01 Impact of ESR1 mutations on Selective Estrogen Receptor Degraders and Modulators: an integrated liquid-biopsy and pharmacodynamics approach

Abstract Background: ESR1 hotspot mutations (HS) (i.e. 380, 536, 537, and 538) are important drivers of resistance to aromatase inhibitors, but the differential impact of genomic variants (HS vs non-HS) on response to endocrine therapies (ET) under clinical development, such as novel oral Selective Estrogen Receptor Degraders and Modulators (SERDs and SERMs), is not known. The aim of the study was to evaluate the impact of non-HS ESR1 mutations on the pharmacodynamics of SERDs and SERMs as an additional ET resistance mechanism. Materials and Methods: The study analyzed a multi-institutional cohort of 1008 patients with hormone receptor positive metastatic breast cancer characterized by circulating tumor DNA (ctDNA). Pathway classification was defined based on previous work (i.e. RTK, RAS, RAF, MEK, NRF2, ER, WNT, MYC, p53, Cell Cycle, Notch, PI3K). Single nucleotide variations (SNVs) were annotated through OncoKB; co-occurrence was tested by Fisher’s exact test. A structure-based computational strategy was used to create 3D-models of ESR1 mutants and predict changes in binding affinity (dAff) across approved and experimental drugs. A positive dAff reflects a lower affinity of the drug for mutant ESR1 compared with wild type and thus a potential for a reduced response. Results: Among the total 680 detected ESR1 mutations, 633 were missense, and 631 were gain-of-function. The most frequent mutations were in codon 537 (N=305), followed by 538 (N=224). No significant MAF differences were observed across ESR1 variants (P=0.0829). The L391F mutation resulted in an increased binding affinity for Lasofoxifene (LAS) (dAff -0.34), Giredestrant (GIR) (dAff -0.18), Elacestrant (ELA) (dAff -0.08) and Amcenestrant (AMC) (dAff -0.41), while a decreased binding affinity was observed for 4OH-Tamoxifen (TAM) (dAff 0.01), Imlunestrant (IML) (dAff 0.15), Fulvestrant (FUL) (dAff 0.43), and Camizestrant (CAM) (dAff 0.02). V392F decreased binding affinity for TAM (dAff 0.05), LAS (dAff 0.13), IML (dAff 0.11), GIR (dAff 0.11), FUL (dAff 0.04), CAM (dAff 0.05), AMC (dAff 0.06) but not for ELA (dAff -0.01). F404L decreased binding affinity for FUL (dAff 0.07), ELA (dAff 0.73), and CAM (dAff 0.26), while it increased binding affinity for TAM (dAff -0.27), LAS (dAff -0.02), IML (dAff -0.05), GIR (dAff -0.69), and AMC (dAff -2.01). G415E increased binding affinity for LAS, (dAff -0.15) GIR (dAff -0.02) and ELA (dAff -0.08), while it decreased binding affinity for TAM (dAff 0.11), IML (dAff 0.09), FUL (dAff 0.29), CAM (dAff 0.19) and AMC (dAff 0.10). Mutations in codon 537 did not affect dAff for TAM, GIR, and ELA; a significant decrease in binding affinity was observed for FUL and AMC, whereas it was increased for LAS. Mutational co-occurrence was tested between ESR1 mutations in FUL docking sites and oncogenic pathways. Significant associations were observed for cell cycle SNVs (P=0.047), Notch SNVs (P=0.020), and ER SNVs (P< 0.001). Within these pathways, significant single-gene associations were observed for FBXW7 SNVs (P=0.020), ESR1 SNVs (P< 0.001), and GATA3 SNVs (P= 0.016). Given the highly significant co-occurrence of non-HS with other ESR1 mutations, combined models were examined. The Y537/F404 combination resulted in decreased binding affinity for FUL and increased binding affinity for LAS, while L536/F404 decreased binding affinity for TAM and increased binding affinity for IML, ELA, and AMC. Notably, L540/F404 restored the FUL-ESR1 interaction resulting in an increased binding affinity (dAff -2.1). Conclusions: The study suggests that genomic variability in drug targets detectable through ctDNA may modulate therapeutic response. Preclinical models are under development to investigate the combined endocrine resistance mechanism suggested by the significant co-occurrence between ESR1 mutations in SERDs/SERMs docking sites and ESR1 hotspot mutations and provide valuable additional insights for drug development and future treatment algorithms. Citation Format: Lorenzo Gerratana, Rossana Roncato, Mattia Sturlese, Andrew A. Davis, Marko Velimirovic, Carolina REDUZZI, Katherine K. Clifton, Whitney L. Hensing, Ami N. Shah, Charles S. Dai, Paolo D’Amico, Arielle J. Medford, Alessandra Franzoni, Linda Cucciniello, Firas Wehbe, Seth A. Wander, Barbara Belletti, William Gradishar, Amir Behdad, Giuseppe Damante, Cynthia Ma, Fabio Puglisi, Aditya Bardia, Massimo Cristofanilli. PD10-01 Impact of ESR1 mutations on Selective Estrogen Receptor Degraders and Modulators: an integrated liquid-biopsy and pharmacodynamics approach. [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr PD10-01.

ATP binding by an F1Fo ATP synthase ε subunit is pH dependent, suggesting a diversity of ε subunit functional regulation in bacteria.

It is a conjecture that the ε subunit regulates ATP hydrolytic function of the F1Fo ATP synthase in bacteria. This has been proposed by the ε subunit taking an extended conformation, with a terminal helix probing into the central architecture of the hexameric catalytic domain, preventing ATP hydrolysis. The ε subunit takes a contracted conformation when bound to ATP, thus would not interfere with catalysis. A recent crystallographic study has disputed this; the Caldalkalibacillus thermarum TA2.A1 F1Fo ATP synthase cannot natively hydrolyse ATP, yet studies have demonstrated that the loss of the ε subunit terminal helix results in an ATP synthase capable of ATP hydrolysis, supporting ε subunit function. Analysis of sequence and crystallographic data of the C. thermarum F1Fo ATP synthase revealed two unique histidine residues. Molecular dynamics simulations suggested that the protonation state of these residues may influence ATP binding site stability. Yet these residues lie outside the ATP/Mg2+ binding site of the ε subunit. We then probed the effect of pH on the ATP binding affinity of the ε subunit from the C. thermarum F1Fo ATP synthase at various physiologically relevant pH values. We show that binding affinity changes 5.9 fold between pH 7.0, where binding is weakest, to pH 8.5 where it is strongest. Since the C. thermarum cytoplasm is pH 8.0 when it grows optimally, this correlates to the ε subunit being down due to ATP/Mg2+ affinity, and not being involved in blocking ATP hydrolysis. Here, we have experimentally correlated that the pH of the bacterial cytoplasm is of critical importance for ε subunit ATP affinity regulated by second-shell residues thus the function of the ε subunit changes with growth conditions.

Design, characterization, theoretical studies, and dyeing properties of new novel diazo salicylaldehyde Schiff base catalyzed with ceric (IV) ammonium nitrate (CAN) as an eco-friendly catalyst

PurposeThe paper aims to the preparation of novel disperse dye based on azo salicylaldehyde derivatives TF-A [2-hydroxy-5-((3-(trifluoromethyl)phenyl)diazenyl)benzaldehyde] and full evaluation of their use as disperse dye TF-ASC [bis 2-hydroxy-5-((3-(trifluoromethyl)phenyl)diazenyl)benzaldehyde Schiff base with 4,4'-methylenedianiline] for dyeing polyester fabric at various conditions.Design/methodology/approachThe dispersed dye was synthesized via Schiff base condensation in the presence of ceric ammonium nitrate cerium ammonium nitrate 10 mmole% as an eco-friendly catalyst at room temperature. The chemical structure of the prepared dye was characterized via elemental analysis, Fourier-transform infrared spectroscopy, 1H- and 13 C-NMR spectroscopic analysis tools. This study thoroughly examined the dyeing of disperse dye TF-ASC on polyester at various conditions. The characteristics of dyed polyester fabric were measured by colour measurements, as well as light, washing, crock fastness and finally, colour strength. The discrete fourier transform (DFT) theoretical studies, including EHOMO, ELUMO and optimized geometrical structure, were assumed and discussed in detail.FindingsThe results showed that the synthesized organic dye TF-ASC was highly functional and appropriate for this kind of dyeing method. The dyeing fabrics obtained from disperse dye TF-ASC, properties possess high colour strength as well as good overall fastness properties. These dyes had a high affinity for polyester fabric, with just a tiny change in dye affinity when the pH was changed, even under alkaline circumstances. The dye levelness and shade depth of the colour results were good, and there were a variety of hues from light brownish yellow to deep brownish yellow. The results obtained from DFT computational studies such as EHOMO, ELUMO, optimized structure, diploe moment µ and electrophilicity index deduced that prepared organic dye TF-ASC is more applicable as a dispersed dye.Originality/valueThis research is significant because it provides a new dye for dyeing polyethylene terephthalate fibres with exceptional brightness and levelness; the method of preparation is a useful pathway due to its being known as a green chemistry method.

Binding affinity and conformational change predictions for a series of inhibitors with RuBisCO in a carbon dioxide gas and water environment by multiple computational methods

Ribulose 1, 5-bisphosphate carboxylase-oxygenase (RuBisCO), a Calvin cycle enzyme, is responsible for absorbing the majority of atmospheric CO2 into photosynthetic organisms (McKinlay and Harwood, 2010) [1]. RuBisCO has been the subject of a great deal of research over the years, but its progress is still constrained by the low activity of the RuBisCO enzyme (Timm et al., 2016) [2]. It has not yet been documented how tightly bound inhibitors induce decreased efficiency and how this is related to CO2. In our study, we investigated and validated the binding of five natural inhibitors and substrates to RuBisCO using a variety of analytical techniques such as accelerated molecular dynamics simulation (Perez et al., 2009) [3], binding free energy calculation (Sakae et al., 2020) [4], and protein interior analysis such as a dynamical cross-correlation matrix, a free energy landscape, a dictionary of secondary structure of proteins, and principal component analysis (Marelius et al., 1998) [5]. The results provided evidence in support of the tight binding and activity control of RuBisCO, in fact, The level of inhibitor binding ability calculated by us well echoes the level of inhibition (Frank et al., 1998; Zhu and Jensen, 1991; Keys et al., 1995; Pearce, 2006) [6–9] rate under physiological conditions, which reflects the accuracy of the calculation model. According to the results of the dynamic simulation, significant dynamic changes that occurred before and after the tight binding and were influenced by different aspects of the major and secondary structures were discovered. The analysis indicates that the close binding of the oxidation-produced inhibitor to RuBisCO was controlled by the interaction of key amino acids, the degree of bending of the inhibitor, and the critical LOOP area. Further, the CO2 simulation conditions (Tcherkez, 2016) [10] described the CO2 concentrating mechanism's carbon concentration mechanism and offered fresh insights into the RuBisCO enzyme (Andrews and Whitney, 2005) [11] (CCM). Analysis was done on CO2’s crucial function in the binding of RuBisCO.

Long-range communication between transmembrane- and nucleotide-binding domains does not depend on drug binding to mutant P-glycoprotein

In this study, the impact of four P-gp mutations (G185V, G830V, F978A and ΔF335) on drug-binding and efflux-related signal-transmission mechanism was comprehensively evaluated in the presence of ligands within the drug-binding pocket (DBP), experimentally related with changes in their drug efflux profiles. The severe repacking of the transmembrane helices (TMH), induced by mutations and exacerbated by the presence of ligands, indicates that P-gp is sensitive to perturbations in the transmembrane region. Alterations on drug-binding were also observed as a consequence of the TMH repacking, but were not always correlated with alterations on ligands binding mode and/or binding affinity. Finally, and although all P-gp variants holo systems showed considerable changes in the intracellular coupling helices/nucleotide-binding domain (ICH-NBD) interactions, they seem to be primarily induced by the mutation itself rather than by the presence of ligands within the DBP. The data further suggest that the changes in drug efflux experimentally reported are mostly related with changes on drug specificity rather than effects on signal-transmission mechanism. We also hypothesize that an increase in the drug-binding affinity may also be related with the decreased drug efflux, while minor changes in binding affinities are possibly related with the increased drug efflux observed in transfected cells.Communicated by Ramaswamy H. Sarma

Single Particle Analysis of H3N2 Influenza Entry Differentiates the Impact of the Sialic Acids (Neu5Ac and Neu5Gc) on Virus Binding and Membrane Fusion.

Entry of influenza A viruses (IAVs) into host cells is initiated by binding to sialic acids (Sias), their primary host cell receptor, followed by endocytosis and membrane fusion to release the viral genome into the cytoplasm of the host cell. Host tropism is affected by these entry processes, with a primary factor being receptor specificity. Sias exist in several different chemical forms, including the hydroxylated N-glycolylneuraminic acid (Neu5Gc), which is found in many hosts; however, it has not been clear how modified Sias affect viral binding and entry. Neu5Gc is commonly found in many natural influenza hosts, including pigs and horses, but not in humans or ferrets. Here, we engineered HEK293 cells to express the hydoxylase gene (CMAH) that converts Neu5Ac to Neu5Gc, or knocked out the Sia-CMP transport gene (SLC35A1), resulting in cells that express 95% Neu5Gc or minimal level of Sias, respectively. H3N2 (X-31) showed significantly reduced infectivity in Neu5Gc-rich cells compared to wild-type HEK293 (>95% Neu5Ac). To determine the effects on binding and fusion, we generated supported lipid bilayers (SLBs) derived from the plasma membranes of these cells and carried out single particle microscopy. H3N2 (X-31) exhibited decreased binding to Neu5Gc-containing SLBs, but no significant difference in H3N2 (X-31)'s fusion kinetics to either SLB type, suggesting that reduced receptor binding does not affect subsequent membrane fusion. This finding suggests that for this virus to adapt to host cells rich in Neu5Gc, only receptor affinity changes are required without further adaptation of virus fusion machinery. IMPORTANCE Influenza A virus (IAV) infections continue to threaten human health, causing over 300,000 deaths yearly. IAV infection is initiated by the binding of influenza glycoprotein hemagglutinin (HA) to host cell sialic acids (Sias) and the subsequent viral-host membrane fusion. Generally, human IAVs preferentially bind to the Sia N-acetylneuraminic acid (Neu5Ac). Yet, other mammalian hosts, including pigs, express diverse nonhuman Sias, including N-glycolylneuraminic acid (Neu5Gc). The role of Neu5Gc in human IAV infections in those hosts is not well-understood, and the variant form may play a role in incidents of cross-species transmission and emergence of new epidemic variants. Therefore, it is important to investigate how human IAVs interact with Neu5Ac and Neu5Gc. Here, we use membrane platforms that mimic the host cell surface to examine receptor binding and membrane fusion events of human IAV H3N2. Our findings improve the understanding of viral entry mechanisms that can affect host tropism and virus evolution.

Resolving the kinetics of transcription factor recognition of the target DNA site via advanced single-molecule FRET spectroscopy.

Transcription factors function by specifically binding to target DNA sites to initiate gene expression. Such DNA recognition process usually involves an interplay between high-affinity binding to the cognate sequence and low-affinity binding to any other DNA. The latter enables scanning of the DNA via a 1D diffusive process, which combined with 3D diffusion-collision kinetics, facilitates target location. 1D diffusion has been observed using single-molecule fluorescence tracking on many DNA binding proteins (DPBs). Powerful experimental methods are also available to determine the sequence logo recognized by any given DBP. However, there are no approaches available that resolve the kinetics of locking into the target site, which is essential to elucidate the mechanisms of cognate DNA recognition. Here we introduce such an approach, by using single-molecule FRET spectroscopy and maximum likelihood analysis of photon arrival times. We apply it to determine the rates of lock-into and release-from the target site of the Engrailed homeodomain (EnHD). To resolve between non-specific and cognate DNA binding we exploit the recent discovery that EnHD changes conformation upon cognate binding, resulting in a large shift in transfer efficiency between a donor-acceptor pair placed at the protein ends. Our experiments on a 21-bp dsDNA containing the EnHD cognate sequence reveal that EnHD finds its target in few milliseconds. Remarkably, the on-rate at the C50 is mostly invariant over orders of magnitude differences in ionic strength and DNA concentration. This is because the changes in affinity caused by ionic strength are mostly recapitulated on the off-rate, which is the exact opposite to diffusion-control kinetics. We hence conclude that EnHD's lock-into target kinetics are controlled by its conformational dynamics, which makes the response time for controlling transcription only dependent on site occupancy levels.

The in-silico evaluation of important GLUT9 residue for uric acid transport based on renal hypouricemia type 2

Uric acid is the end product of purine metabolism. Uric acid transporters in the renal proximal tubule plays a key role in uric acid transport. Functional abnormalities in these transporters could lead to high or low levels of uric acid in the blood plasma, known as hyperuricemia and hypouricemia, respectively. GLUT9 has been reported as a key transporter for uric acid reuptake in renal proximal tubule. GLUT9 mutation is known as causal gene for renal hypouricemia due to defective uric acid uptake, with more severe cases resulting in urolithiasis and exercise induced acute kidney injury (EIAKI). However, the effect of mutation is not fully investigated and hard to predict the change of binding affinity. We comprehensively described the effect of GLUT9 mutation for uric acid transport using molecular dynamics and investigated the specific site for uric acid binding differences. R171C and R380W showed the significant disruption of the structure not affecting transport dynamics whereas L75R, G216R, N333S, and P412R showed the reduced affinity of the extracellular vestibular area towards urate. Interestingly, T125 M showed a significant increase in intracellular binding energy, associated with distorted geometries. We can use this classification to consider the effect mutations by comparing the transport profiles of mutants against those of chemical candidates for transport and providing new perspectives to urate lowering drug discovery using GLUT9.

Insight into the intrinsically disordered transactivation domain of NFkB as a regulator of DNA binding using UV-induced unnatural amino acid crosslinking.

Within our vast genome, specific transcription factors like NFkB manage to find target sequences amongst overwhelming nonspecific options and help elicit timely cellular responses. A transcription factor's binding affinity for specific vs. nonspecific DNA must therefore be in a delicate balance to facilitate this search. Key in vitro experiments that described these binding affinities for the dominant NFkB dimer RelA/p50 were carried out with a truncated version of RelA - excluding a large intrinsically disordered transactivation domain (TAD) that was believed to be important for transcription activation through cofactor interactions but not impactful for DNA binding. This fit with a traditional view of protein domains acting as modular units. More recently, however, we discovered a novel function of the TAD: binding experiments revealed that the TAD's presence increased RelA/p50's affinity for DNA, with the strongest increase in binding affinity observed for non-specific DNA sequences lacking kB consensus sites. Here we follow up these findings with an investigation of the TAD's mechanism of action. We present preliminary results using an unnatural amino acid crosslinker (p-benzoyl-l-phenylalanine or pBpF) in combination with mass spectrometry to probe TAD interactions that lead to the observed changes in DNA binding affinity and specificity. pBpF is incorporated into specific positions in the TAD using AMBER codon suppression, and crosslinking is initiated by UV light. Interactions are analyzed by mass spectrometry to identify key sites of contact between the TAD and the natively folded Rel-Homology Domain.

Metal-Ligand Cooperativity Promotes Reversible Capture of Dilute CO2 as a Zn(II)-Methylcarbonate.

In this study, a series of thiosemicarbazonato-hydrazinatopyridine metal complexes were evaluated as CO2 capture agents. The complexes incorporate a non-coordinating, basic hydrazinatopyridine nitrogen in close proximity to a Lewis acidic metal ion allowing for metal-ligand cooperativity. The coordination of various metal ions with (diacetyl-2-(4-methyl-thiosemicarbazone)-3-(2-hydrazinopyridine) (H2L1) yielded ML1 (M = Ni(II), Pd(II)), ML1(CH3OH) (M = Cu(II), Zn(II)), and [ML1(PPh3)2]BF4 (M = Co(III)) complexes. The ML1(CH3OH) complexes reversibly capture CO2 with equilibrium constants of 88 ± 9 and 6900 ± 180 for Cu(II) and Zn(II), respectively. Ligand effects were evaluated with Zn(II) through variation of the 4-methyl-thiosemicarbazone with 4-ethyl (H2L2), 4-phenethyl (H2L3), and 4-benzyl (H2L4) derivatives. The equilibrium constant for CO2 capture increased to 11,700 ± 300, 15,000 ± 400, and 35,000 ± 200 for ZnL2(MeOH), ZnL3(MeOH), and ZnL4(MeOH), respectively. Quantification of ligand basicity and metal ion Lewis acidity shows that changes in CO2 capture affinity are largely associated with ligand basicity upon substitution of Cu(II) with Zn(II), while variation of the thiosemicarbazone ligand enhances CO2 affinity by tuning the metal ion Lewis acidity. Overall, the Zn(II) complexes effectively capture CO2 from dilute sources with up to 90%, 86%, and 65% CO2 capture efficiency from 400, 1000, and 2500 ppm CO2 streams.

Characterization of aspartokinase double mutants using a combination of experiments and simulations

Aspartokinase (AK) is synergistically suppressed by Thr and Lys in the Corynebacterium metabolic pathway. Site-directed mutations can significantly improve AK inhibition. Our previous studies confirmed that sites 379 and 380 were important sites affecting enzyme activity, so we further screen the double mutants with excellent enzymatic properties from sites 379 and 380, and discuss the difference of enzyme activity between the double mutants and single mutants. Here, a double mutant, T379L/A380 M, with improved enzyme activity (2.74-fold) was obtained. Enzymatic property experiments showed that the optimum temperature of T379L/A380 M increased from 26 °C (recombinant Escherichia coli; WT-AK) to 45 °C and that the optimal pH decreased from 8.0 (WT-AK) to 7.5. Further, the half-life decreased from 4.5 to 3.32 h. These enzymatic properties were better than other mutant strains. Inhibition was diminished with low concentrations of Lys, and Lys + Thr presented an activating role. Subsequently, the reasons for the improved AK enzyme activity were illustrated with microscale thermophoresis (MST) experiments and molecular dynamic (MD) simulation by measuring ligand affinity and AK conformational changes. MST showed that the affinity between T379L/A380 M and Lys decreased, but the affinity between T379L/A380 M and Asp increased, promoting T379L/A380 M enzyme activity. MD experiments showed that T379L/A380 M enhanced the Asp-ATP affinity and catalyzed the transfer of residues S192 and D193 to Asp, promoting T379L/A380 M enzyme activity. However, the mutation did not cause fluctuations in the substrate Asp and ATP pockets. This might be why the enzyme activity was inferior to that of the single mutants (T379L and A380 M).