Preference For Residues Research Articles

How Polyproline Type II Conformation at P2 Residues Influences the Success of Proline-Based Peptidyl Inhibitors Against Coronavirus Main Protease.

In the wake of the pandemic, peptidyl protease inhibitors with Pro-based rigid Leu mimetics at the P2 position have emerged as potent drug candidates against the SARS-CoV-2 main protease. This success is intuitively attributed to the enhanced hydrophobic interactions and rigidity of Pro-based rigid Leu mimetics in the literature. However, the tertiary amide of proline P2 derivatives, which hinders the formation of a critical hydrogen bond with the enzyme active site, and the constrained PPII conformation, which contradicts the protease preferred β-strand conformation, represent two overlooked disadvantages associated with these inhibitors over traditional inhibitors and, theoretically, should adversely affect their potency. Interestingly, despite these major disadvantages, they maintain or display improved potency compared to traditional peptidyl protease inhibitors. In this study, we uncover a previously unnoticed preference for P2 residues of the protease inhibitors to adopt the PPII conformation, regardless of residue identity, in the main protease-bound form of key RNA viruses, deviating from the traditional β-strand conformation. We also demonstrate that Pro-based rigid Leu mimetics at P2 enhance binding affinity by favoring the enzyme-preferred PPII conformation and significantly reducing configurational entropy loss upon binding, comparable to that of a typical hydrogen bond. This work also highlights the importance of a multidisciplinary approach to enhance the understanding of structure-activity relationships beyond traditional medicinal chemistry intuition. We believe these findings provide new, deep insights and address a major knowledge gap in the area of peptidyl protease inhibitor design, identifying key drivers behind the success of Pro-based peptidyl protease inhibitors beyond mere rigidity and hydrophobicity.

Amino Acid Residue-Specific Ramachandran Distributions Derived from a Simple Mean Field Potential.

Protein dynamics in the unfolded state, in the context of early stage protein folding or intrinsically disordered proteins (IDPs), is not well understood. The discovery of IDPs, and their sequence-dependent dynamics, has led to many computational and experimental investigations regarding the conformational preferences of short oligopeptides and individual amino acid residues in the unfolded state. As proteins consist of sequences of amino acid residues, characterizing the intrinsic conformational preferences of the individual residues in the unfolded state is crucial for understanding the emergent conformations of peptides and proteins. While advances have been made in understanding conformational preferences, the atomistic mechanisms driving these preferences remain unresolved. In this work, we show that the distributions of atomic overlaps between backbone and side chain atoms in Ramachandran space are unique for amino acid residue mimetic structures alanine, valine, leucine, and isoleucine in Ramachandran space indicating unique intrapeptide energy landscapes for each residue. We then construct a mean field potential consisting of only an empirical peptide backbone-water and average intrapeptide Lennard-Jones contributions to explore their influence on the conformational preferences. With this fairly simple model, we were able to produce Ramachandran distributions that qualitatively agree with previously reported experimental and computational predictions about the conformational preferences of these amino acid residues in the unfolded state in water. Our results indicate these conformational preferences are the result of the balance between pPII-stabilizing backbone-water interactions and repulsive side chain-backbone interactions where the latter will depend uniquely on the atomic makeup and geometry of the side chain.

SARS-CoV-2 Nsp15 antagonizes the cGAS-STING-mediated antiviral innate immune responses.

Coronavirus (CoV) Nsp15 is a viral endoribonuclease (EndoU) with a preference for uridine residues. CoV Nsp15 is an innate immune antagonist which prevents dsRNA sensor recognition and stress granule formation by targeting viral and host RNAs. SARS-CoV-2 restricts and delays the host antiviral innate immune responses through multiple viral proteins, but the role of SARS-CoV-2 Nsp15 in innate immune evasion is not completely understood. Here, we generate an EndoU activity knockout rSARS-CoV-2Nsp15-H234A to elucidate the biological functions of Nsp15. Relative to wild-type rSARS-CoV-2, replication of rSARS-CoV-2Nsp15-H234A was significantly decreased in IFN-responsive A549-ACE2 cells but not in its STAT1 knockout counterpart. Transcriptomic analysis revealed upregulation of innate immune response genes in cells infected with rSARS-CoV-2Nsp15-H234A relative to wild-type virus, including cGAS-STING, cytosolic DNA sensors activated by both DNA and RNA viruses. Treatment with STING inhibitors H-151 and SN-011 rescued the attenuated phenotype of rSARS-CoV-2Nsp15-H234A. SARS-CoV-2 Nsp15 inhibited cGAS-STING-mediated IFN-β promoter and NF-κB reporter activity, as well as facilitated the replication of EV-D68 and NDV by diminishing cGAS and STING expression and downstream innate immune responses. Notably, the decline in cGAS and STING was also apparent during SARS-CoV-2 infection. The EndoU activity was essential for SARS-CoV-2 Nsp15-mediated cGAS and STING downregulation, but not all HCoV Nsp15 share the consistent substrate selectivity. In the hamster model, rSARS-CoV-2Nsp15-H234A replicated to lower titers in the nasal turbinates and lungs and induced higher innate immune responses. Collectively, our findings exhibit that SARS-CoV-2 Nsp15 serves as a host innate immune antagonist by targeting host cGAS and STING.

Insights into the DNA and RNA Interactions of Human Topoisomerase III Beta Using Molecular Dynamics Simulations.

Human topoisomerase III beta (hTOP3B) is the only topoisomerase in the human cell that can act on both DNA and RNA substrates. Recent findings have emphasized the physiological importance of hTOP3B and consolidated it as a valuable drug target for antiviral and anticancer therapeutics. Although type IA topoisomerases of different organisms have been studied over the years, the step-by-step interaction of hTOP3B and nucleic acid substrates is still not well understood. Due to the lack of hTOP3B-RNA structures as well as DNA/RNA covalent complexes, computational investigations have been limited. In our study, we utilized molecular dynamics (MD) simulations to study the interactions between hTOP3B and nucleic acids to get a closer look into the residues that play a role in binding DNA or RNA and facilitate catalysis, along with the differences and similarities when hTOP3B interacts with DNA compared to RNA. For this, we generated multiple models of hTOP3B complexed with DNA and RNA sequences using the hTOP3B crystal structure and 8-mer single-stranded DNA and RNA sequences. These models include both covalent and noncovalent complexes, which are then subjected to MD simulations and analyzed. Our findings highlight the complexes' stability, sequence preference, and interactions of the binding pocket residues with different nucleotides. Our work demonstrates that hTOP3B forms stable complexes with both DNA and RNA and provides a better understanding of the enzyme's interaction with different nucleic acid substrate sequences.

Tracking DOT1L methyltransferase activity by stable isotope labelling using a selective synthetic co-factor

Epigenetic processes influence health and disease through mechanisms which alter gene expression. In contrast to genetic changes which affect DNA sequences, epigenetic marks include DNA base modifications or post-translational modification (PTM) of proteins. Histone methylation is a prominent and versatile example of an epigenetic marker: gene expression or silencing is dependent on the location and extent of the methylation. Protein methyltransferases exhibit functional redundancy and broad preferences for multiple histone residues, which presents a challenge for the study of their individual activities. We developed an isotopically labelled analogue of co-factor S-adenosyl-L-methionine (13CD3-BrSAM), with selectivity for the histone lysine methyltransferase DOT1L, permitting tracking of methylation activity by mass spectrometry (MS). This concept could be applied to other methyltransferases, linking PTM discovery to enzymatic mediators.

Evolution of paralogous multicomponent systems for site-specific O-sialylation of flagellin in Gram-negative and Gram-positive bacteria

Many bacteria glycosylate flagellin on serine or threonine residues using pseudaminic acid (Pse) or other sialic acid-like donor sugars. Successful reconstitution of Pse-dependent sialylation by the conserved Maf-type flagellin glycosyltransferase (fGT) may require (a)missing component(s). Here, we characterize both Maf paralogs in the Gram-negative bacterium Shewanella oneidensis MR-1 and reconstitute Pse-dependent glycosylation in heterologous hosts. Remarkably, we uncovered distinct acceptor determinants and target specificities for each Maf. Whereas Maf-1 uses its C-terminal tetratricopeptide repeat (TPR) domain to confer flagellin acceptor and O-glycosylation specificity, Maf-2 requires the newly identified conserved specificity factor, glycosylation factor for Maf (GlfM), to form a ternary complex with flagellin. GlfM orthologs are co-encoded with Maf-2 in Gram-negative and Gram-positive bacteria and require an invariant aspartate in their four-helix bundle to function with Maf-2. Thus, convergent fGT evolution underlies distinct flagellin-binding modes in tripartite versus bipartite systems and, consequently, distinct O-glycosylation preferences of acceptor serine residues with Pse.

Amino acid propensities for secondary structures and its variation across protein structures using exhaustive PDB data

Amino acid propensities for protein secondary structures are vital for protein structure prediction, understanding folding, and design, and have been studied using various theoretical and experimental methods. Traditional assessments of average propensities using statistical methods have been done on relatively smaller dataset for only a few secondary structures. They also involve averaging out the environmental factors and lack insights into consistency of preferences across diverse protein structures. While a few studies have explored variations in propensities across protein structural classes and folds, exploration of such variations across protein structures remains to be carried out. In this work, we have revised the average propensities for all six different secondary structures, namely α-helix, β-strand, 310-helix, π-helix, turn and coil, analyzing the most exhaustive dataset available till date using two robust secondary structure assignment algorithms, DSSP and STRIDE. The propensities evaluated here can serve as a standard reference. Moreover, we present here, for the first time, the propensities within individual protein structures and investigated how the preferences of residues and more interestingly, of their groups formed based on their structural features, vary across different unique structures. We devised a novel approach- the minimal set analysis, based on the propensity distribution of residues, which along with the group propensities led us to the conclusion that a residue's preference for a specific secondary structure is primarily dictated by its side chain's structural features. The findings in this study provide a more insightful picture of residues propensities and can be useful in protein folding and design studies.

PypKa server: online pKa predictions and biomolecular structure preparation with precomputed data from PDB and AlphaFold DB.

When preparing biomolecular structures for molecular dynamics simulations, pKa calculations are required to provide at least a representative protonation state at a given pH value. Neglecting this step and adopting the reference protonation states of the amino acid residues in water, often leads to wrong electrostatics and nonphysical simulations. Fortunately, several methods have been developed to prepare structures considering the protonation preference of residues in their specific environments (pKa values), and some are even available for online usage. In this work, we present the PypKa server, which allows users to run physics-based, as well as ML-accelerated methods suitable for larger systems, to obtain pKa values, isoelectric points, titration curves, and structures with representative pH-dependent protonation states compatible with commonly used force fields (AMBER, CHARMM, GROMOS). The user may upload a custom structure or submit an identifier code from PBD or UniProtKB. The results for over 200k structures taken from the Protein Data Bank and the AlphaFold DB have been precomputed, and their data can be retrieved without extra calculations. All this information can also be obtained from an application programming interface (API) facilitating its usage and integration into existing pipelines as well as other web services. The web server is available at pypka.org.

Protein design using structure-based residue preferences

Recent developments in protein design rely on large neural networks with up to 100s of millions of parameters, yet it is unclear which residue dependencies are critical for determining protein function. Here, we show that amino acid preferences at individual residues—without accounting for mutation interactions—explain much and sometimes virtually all of the combinatorial mutation effects across 8 datasets (R2 ~ 78-98%). Hence, few observations (~100 times the number of mutated residues) enable accurate prediction of held-out variant effects (Pearson r > 0.80). We hypothesized that the local structural contexts around a residue could be sufficient to predict mutation preferences, and develop an unsupervised approach termed CoVES (Combinatorial Variant Effects from Structure). Our results suggest that CoVES outperforms not just model-free methods but also similarly to complex models for creating functional and diverse protein variants. CoVES offers an effective alternative to complicated models for identifying functional protein mutations.

FlkO, a penicillin-binding protein-type thioesterase in cyclofaulknamycin biosynthesis.

Penicillin-binding protein-type thioesterases (PBP-type TEs) catalyze head-to-tail macrolactamization in bacterial nonribosomal peptide biosynthesis. Here the scope of FlkO, a new PBP-type TE in cyclofaulknamycin biosynthesis, was thoroughly evaluated. The preference for small residues at the substrate C-terminus was consistent with the decreased volume of its putative substrate-binding pocket.

Understanding selective sensing of human serum albumin using a D-π-A probe: a photophysical and computational approach.

The human serum albumin (HSA) level is a valuable indicator of an individual's health status. Therefore, its detection/estimation can be used to diagnose several diseases. In this work, we have developed a series of donor-π-acceptor probes, which were found to selectively detect HSA over BSA (bovine serum albumin). Among these probes, A4, which bears the trifluoroacetyl group, showed the highest selectivity for HSA, with limits of detection and quantification being 1.36 nM and 2.59 nM, respectively. CD spectroscopy of the HSA-A4 ensemble indicated an increase in the α-helicity of the protein, while the displacement assays revealed the localization of the probe in the hemin site of HSA. The probe works on the principle of excited state intramolecular charge transfer (ICT). Its selectivity was also validated computationally. Docking experiments confirmed the preference of the probe for the hemin binding IB site of HSA, as observed from the fluorescence displacement assay results, and a comparison of docking scores demonstrated the greater preference of A4 for HSA compared to BSA. Computational experiments also showed a change in preference for HSA amino acid residues exhibited by the excited state of probe A4 (Tyr161, Met123, Pro118, and Leu115) when compared to its ground state (Arg186 and His146). Hydrophobic interactions dominated the excited state protein-probe ensemble, whereas there was significant involvement of the water bridges along with the hydrophobic interactions in the ground state ensemble. Probe A4 was also assessed for its practical utility and found to successfully sense HSA in urine at extremely low concentrations. Moreover, the A4-HSA ensemble was employed for hemin sensing with a detection limit of 0.23 μM.

Assessment of Novel Proteins Triggering Celiac Disease via Docking-Based Approach.

Human leukocyte antigens (HLAs) are pivotal in antigen processing, presenting to CD4+ T cells, and are linked to autoimmune disease susceptibility. In celiac disease, HLA-DQ2.5 and HLA-DQ8.1 bind gluten peptides on APCs, some recognized by CD4+ T cells, prompting inflammation and tissue damage. While extensively studied experimentally, these alleles lack comprehensive in silico analysis. To explore peptide-HLA preferences, we used molecular docking on peptide libraries, deriving quantitative matrices (QMs) for evaluating amino acids at nine-residue peptide binding cores. Our findings tie specific residue preferences to peptide backbone conformations. Validating QMs on known binders and non-binders showed strong predictive power (89-94% accuracy). These QMs excel in screening protein libraries, even whole proteomes, notably reducing time and costs for celiac disease risk assessment in novel proteins. This computational approach aligns with European Food Safety Authority guidance, promising efficient screening for potential celiac disease triggers.

Mapping the substrate-binding subsite specificity of a Porphyromonas gingivalis Tpr peptidase.

Calcium-dependent peptidases of the calpain family are widespread in eukaryotes but uncommon in prokaryotes. A few bacterial calpain homologs have been discovered but none of them have been characterized in detail. Here we present an in-depth substrate specificity analysis of the bacterial calpain-like peptidase Tpr from Porphyromonas gingivalis. Using the positional scanning hybrid combinatorial substrate library method, we found that the specificity of Tpr peptidase differs substantially from the papain family of cysteine proteases, showing a strong preference for proline residues at positions P2 and P3. Such a degree of specificity indicates that this P. gingivalis cell-surface peptidase has a more sophisticated role than indiscriminate protein degradation to generate peptide nutrients, and may fulfil virulence-related functions such as immune evasion.

Probing enzymatic properties of N-glycosyltransferase isoforms from Mannheimia haemolytica

N-Glycosyltransferase (NGT) is an inverting glycosyltransferase for an unusual pathway of N-linked protein glycosylation and glycosylates polypeptides in the consensus sequon (N-(X≠P)-T/S) with hexose monosaccharides. Here, we expressed and characterized a novel N-glycosyltransferase from Mannheimia haemolytica (named MhNGT). RP-HPLC and Mass Spectrometry were used to assay and quantify glycopeptide formation by MhNGT and determine its substrate specificities. MhNGT could utilize a variety of nucleotide-activated sugar donors, including UDP-Glc, UDP-Gal and UDP-Xyl, to glycosylate the tested peptides DANYTK, GGNWTT and PAVGNCSSALR with higher efficiency than ApNGT which was comprehensive studied. The optimum temperature of MhNGT was about 30 °C and the optimum pH was 7.5–8.0 in PBS-NaOH buffer. MhNGT exhibited a different position-specific residue preference of substrate peptides from the NGT of Actinobacillus pleuropneumoniae (ApNGT). The effective glycosylation of common short peptides by MhNGT demonstrated the enzyme's potential to alter therapeutically significant mammalian N-glycoproteins.

Isolation and Biochemical Characterization of Ananassains, Cysteine Peptidases from the Fruits of Ananas ananassoides

Aims: This work performed a preliminary characterization of two new peptidases from Ananas ananassoides. Background: Proteolytic enzymes, also known as peptidases, are found in all living things and play critical physiological roles in metabolism and cellular regulation. They account for roughly 60% of the enzymes used in industry and have high proteolytic activity, such as papain from Carica papaya latex and stem and fruit bromelains from the edible pineapple Ananas comosus. Objective: The wild pineapple Ananas ananassoides contains proteolytic enzymes, which motivated this study due to the potential applications of this type of enzyme. Methods: The fruit and stem of A. ananassoides were blended, clarified, and purified using chromatography (SP-Sepharose and Sephadex G-50). The molecular mass was determined using mass spectrometry (M.S.), and the N-terminal sequences were obtained and compared to other Bromeliaceae proteases. Fluorogenic substrates were used to determine the kinetic parameters. Results: As determined by M.S., the fruit and stem contain cysteine-peptidases with Mr of 27,329.6 and 23,912.5 Da, respectively, values that are very similar to those found in edible pineapple bromelains. Despite Mr and carbohydrate composition differences, both proteases have similar optimum pH values. They have similar temperature effects, though the stem protease is more thermally stable. Both proteases have a stronger preference for hydrophobic, polar, and basic residues. Both proteases hydrolyzed substrates containing polar and basic residues. Conclusion: A comparison of the N-terminal sequences (AVPQIIDW for fruit ananassains and AVPEIIDW for stem ananassains) reveals a high degree of homology when compared to other Bromeliaceae proteases such as papain.

Categorization of hotspots into three types – weak, moderate and strong to distinguish protein–protein versus protein–peptide interactions

Protein–protein and protein–peptide interactions (PPI and PPepI) belong to a similar category of interactions, yet seemingly subtle differences exist among them. To characterize differences between protein–protein (PP) and protein–peptide (PPep) interactions, we have focussed on two important classes of residues-hotspot and anchor residues. Using implicit solvation-based free energy calculations, a very large-scale alanine scanning has been performed on benchmark datasets, consisting of over 5700 interface residues. The differences in the two categories are more pronounced, if the data were divided into three distinct types, namely – weak hotspots (having binding free energy loss upon Ala mutation, ΔΔG, ∼2–10 kcal/mol), moderate hotspots (ΔΔG, ∼10–20 kcal/mol) and strong hotspots (ΔΔG ≥ ∼20 kcal/mol). The analysis suggests that for PPI, weak hotspots are predominantly populated by polar and hydrophobic residues. The distribution shifts towards charged and polar residues for moderate hotspot and charged residues (principally Arg) are overwhelmingly present in the strong hotspot. On the other hand, in the PPepI dataset, the distribution shifts from predominantly hydrophobic and polar (in the weak type) to almost similar preference for polar, hydrophobic and charged residues (in moderate type) and finally the charged residue (Arg) and Trp are mostly occupied in the strong type. The preferred anchor residues in both categories are Arg, Tyr and Leu, possessing bulky side chain and which also strike a delicate balance between side chain flexibility and rigidity. The present knowledge should aid in effective design of biologics, by augmentation or disruption of PPIs with peptides or peptidomimetics. Communicated by Ramaswamy H. Sarma

Aplicação de biocarvões para remoção de ibuprofeno por adsorção: Tendências na produção, condições operacionais e mecanismos

The presence of drugs in the environment, such as ibuprofen, has raised concern due to their persistence and high-risk potential to local biota and health of exposed population. Thus, removal methods, such as biochars adsorption, gained notoriety for their high efficiencies and reduced production cost. Therefore, the present study developed a systematic literature review regarding the advance of low-cost adsorbents for ibuprofen removal from aqueous media. It was possible to observe certain increase in the production of studies within this subject, with preference of agricultural residues as precursor materials. Pyrolysis temperatures on literature ranged from 200 to 900 °C, depending on the process. Note that two substances (H3PO4 and NaOH) are used with more frequency, for chemical activation and superheated vapors in physical activation processes. Regarding chemical adsorption process, the pH was one of the most relevant factors for adsorption process and, also, most of the authors reported better fit to the pseudo-second order kinetic model; that is, adsorption process generally happening by chemisorption.

Isolation and Characterization of scFv Antibody against Internal Ribosomal Entry Site of Enterovirus A71.

Enterovirus A71 (EV-A71) is one of the causative agents of hand-foot-mouth disease, which can be associated with neurocomplications of the central nervous system. A limited understanding of the virus's biology and pathogenesis has led to the unavailability of effective anti-viral treatments. The EV-A71 RNA genome carries type I internal ribosomal entry site (IRES) at 5' UTR that plays an essential role in the viral genomic translation. However, the detailed mechanism of IRES-mediated translation has not been elucidated. In this study, sequence analysis revealed that the domains IV, V, and VI of EV-A71 IRES contained the structurally conserved regions. The selected region was transcribed in vitro and labeled with biotin to use as an antigen for selecting the single-chain variable fragment (scFv) antibody from the naïve phage display library. The so-obtained scFv, namely, scFv #16-3, binds specifically to EV-A71 IRES. The molecular docking showed that the interaction between scFv #16-3 and EV-A71 IRES was mediated by the preferences of amino acid residues, including serine, tyrosine, glycine, lysine, and arginine on the antigen-binding sites contacted the nucleotides on the IRES domains IV and V. The so-produced scFv has the potential to develop as a structural biology tool to study the biology of the EV-A71 RNA genome.

The Mycobacterium tuberculosis prolyl dipeptidyl peptidase cleaves the N-terminal peptide of the immunoprotein CXCL-10.

Dipeptidyl peptidases constitute a class of non-classical serine proteases that regulate an array of biological functions, making them pharmacologically attractive enzymes. With this work, we identified and characterized a dipeptidyl peptidase from Mycobacterium tuberculosis (MtDPP) displaying a strong preference for proline residues at the P1 substrate position and an unexpectedly high thermal stability. MtDPP was also characterized with alanine replacements of residues of its active site that yielded, for the most part, loss of catalysis. We show that MtDPP catalytic activity is inhibited by well-known human DPP4 inhibitors. Using MALDI-TOF mass spectrometry we also describe that invitro, MtDPP mediates the truncation of the C-X-C motif chemokine ligand10, indicating a plausible role in immune modulation for this mycobacterial enzyme.

Conformational preferences of aza-proline residues and their impact on the relative stability of polyproline structures

The collagen model peptide Ac-(Hyp-Gly-Pro)2-NMe2 with the replacement of Pro3 by azPro in the middle of the sequence well adopted polyproline II structures with RMSD = 0.6 Å in water.