Polar Amino Acids Research Articles

Characterization and Classification In Silico of Peptides with Dual Activity (Antimicrobial and Wound Healing).

The growing challenge of chronic wounds and antibiotic resistance has spotlighted the potential of dual-function peptides (antimicrobial and wound healing) as novel therapeutic strategies. The investigation aimed to characterize and correlate in silico the physicochemical attributes of these peptides with their biological activity. We sourced a dataset of 207 such peptides from various peptide databases, followed by a detailed analysis of their physicochemical properties using bioinformatic tools. Utilizing statistical tools like clustering, correlation, and principal component analysis (PCA), patterns and relationships were discerned among these properties. Furthermore, we analyzed the peptides' functional domains for insights into their potential mechanisms of action. Our findings spotlight peptides in Cluster 2 as efficacious in wound healing, whereas Cluster 1 peptides exhibited pronounced antimicrobial potential. In our study, we identified specific amino acid patterns and peptide families associated with their biological activities, such as the cecropin antimicrobial domain. Additionally, we found the presence of polar amino acids like arginine, cysteine, and lysine, as well as apolar amino acids like glycine, isoleucine, and leucine. These characteristics are crucial for interactions with bacterial membranes and receptors involved in migration, proliferation, angiogenesis, and immunomodulation. While this study provides a groundwork for therapeutic development, translating these findings into practical applications necessitates additional experimental and clinical research.

Two sequence- and two structure-based ML models have learned different aspects of protein biochemistry

Deep learning models are seeing increased use as methods to predict mutational effects or allowed mutations in proteins. The models commonly used for these purposes include large language models (LLMs) and 3D Convolutional Neural Networks (CNNs). These two model types have very different architectures and are commonly trained on different representations of proteins. LLMs make use of the transformer architecture and are trained purely on protein sequences whereas 3D CNNs are trained on voxelized representations of local protein structure. While comparable overall prediction accuracies have been reported for both types of models, it is not known to what extent these models make comparable specific predictions and/or generalize protein biochemistry in similar ways. Here, we perform a systematic comparison of two LLMs and two structure-based models (CNNs) and show that the different model types have distinct strengths and weaknesses. The overall prediction accuracies are largely uncorrelated between the sequence- and structure-based models. Overall, the two structure-based models are better at predicting buried aliphatic and hydrophobic residues whereas the two LLMs are better at predicting solvent-exposed polar and charged amino acids. Finally, we find that a combined model that takes the individual model predictions as input can leverage these individual model strengths and results in significantly improved overall prediction accuracy.

Investigating anti-inflammatory actions of marine algal compound against lipoxygenase concentrating on therapeutic applications through computational approach

Inflammation is the preliminary response given to any possible harmful stimuli including infections, injury or stress by immune system where neutrophils and macrophages gets activated and produces mediators, such as nitric oxide and cytokines that serves as biomarkers of inflammation. Lipoxygenases are enzymes that peroxidises lipids and are involved in the pathogenesis of several diseases including inflammatory diseases. These are oxidative enzymes comprising a non-heme iron atom in active site and are convoluted in inflammatory reactions. Fucoidan is sulphated polysaccharide that has numerous pharmacological implications. Implications of fucoidan on inflammatory diseases are still an objective of rigorous research. Therefore, this study focusses on investigating lipoxygenase inhibitory activities of fucoidan. The mechanism of lipoxygenase inhibitory activities of fucoidan was studied via molecular docking and molecular dynamics simulations. The docking score produced by the binding of the fucoidan to the lipoxygenase was − 6.69 kcal/mol whereas, the docking score in case of Aspirin and Zileuton were −5.8 kcal/mol and −7.0 kcal/mol and it was found that fucoidan makes hydrogen bonds with lipoxygenase protein through polar amino acid glutamine at GLN 514. The results obtained from molecular dynamics simulations proposed the development of a stable complex between fucoidan and lipoxygenase due to the establishment of favourable interactions with amino acid residues and indicated efficient results when compared with Aspirin and Zileuton. This study suggested that fucoidan had anti-inflammatory potentials and thus can be used as a promising drug candidate against inflammation. Communicated by Ramaswamy H. Sarma

Functional and Bioactive Properties of Wheat Protein Fractions: Impact of Digestive Enzymes on Antioxidant, α-Amylase, and Angiotensin-Converting Enzyme Inhibition Potential.

This research aimed to determine the biofunctional properties of wheat flour (WF) protein fractions and modifications to the antioxidant, anti-α-amylase and anti-angiotensin-I converting enzyme (ACE) activities induced by the action of digestive endopeptidases in vitro. A molecular characterization of the most abundant protein fractions, i.e., albumins, glutelins-1, glutelins-2 and prolamins, showed that low- and high-MW polypeptides rich in cysteine, glutamic acid and leucine were present in albumins and glutelins, whereas low-MW subunits with a high proportion of polar amino acids prevailed in prolamins. Prolamins exhibited the second-highest water holding capacity (54%) after WF (84%), while albumins provided superior foam stability (76%). Prolamins, glutenins-1 and globulins demonstrated the highest antioxidant activity (up to 95%, 68% and 59%, respectively) both before and after hydrolysis with pepsin (P-H) or trypsin-chymotrypsin (TC-H). Prolamins, globulins and WF strongly inhibited α-amylase (>90%) before and after TC-H, and before P-H (55-71%). Moreover, P-H significantly increased α-amylase inhibition by albumins from 53 to 74%. The fractions with strong ACE inhibitory activity (70-89%) included prolamins and globulins after TC-H or P-H, as well as globulins before TC-H and WF before P-H. This novel evidence indicates that WF protein fractions and their peptide-enriched P and TC hydrolysates are excellent sources of multifunctional bioactives with antioxidant, antihyperglycemic and antihypertensive potential.

Genomic characterization of Alphacoronavirus from Mops condylurus bats in Nigeria

Coronaviruses (CoVs) are responsible for sporadic, epidemic and pandemic respiratory diseases worldwide. Bats have been identified as the reservoir for CoVs. To increase the number of complete coronavirus genomes in Africa and to comprehend the molecular epidemiology of bat Alphacoronaviruses (AlphaCoVs), we used deep metagenomics shotgun sequencing to obtain three (3) near-complete genomes of AlphaCoVs from Mops condylurus (Angolan free-tailed) bat in Nigeria. Phylogenetic and pairwise identity analysis of open reading frame 1ab (ORF1ab), spike (S), envelope (E), membrane (M) and nucleocapsid (N) genes of AlphaCoV in this study to previously described AlphaCoVs subgenera showed that the Nigerian AlphaCoVs may be members of potentially unique AlphaCoV subgenera circulating exclusively in bats in the Molossidae bat family. Recombination events were detected, suggesting the evolution of AlphaCoVs within the Molossidae family. The pairwise identity of the S gene in this study and previously published S gene sequences of other AlphaCoVs indicate that the Nigerian strains may have a genetically unique spike protein that is distantly related to other AlphaCoVs. Variations involving non-polar to polar amino acid substitution in both the Heptad Repeat (HR) regions 1 and 2 were observed. Further monitoring of bats to understand the host receptor use requirements of CoVs and interspecies CoV transmission in Africa is necessary to identify and prevent the potential danger that bat CoVs pose to public health.

Investigating SnocCSP4 expression and key compound interactions with SnocOBP4 in Sirex noctilio Fabricius (Hymenoptera: Siricidae)

Sirex noctilio, a significant pest impacting Pinus sylvestris var. mongolica, presents control difficulties due to its wood-boring behavior, paucity of natural antagonists, and wide-ranging habitats. Our research aims to elucidate the functionality and operational mechanisms of chemosensory proteins 4 (SnocCSP4), providing strategic insights for pest management and fostering further exploration in CSPs. Techniques such as qPCR, fluorescence binding affinity assays, molecular docking, and dynamic simulations were utilized to investigate the tissue-specific distribution, ligand binding capacities, and mechanistic underpinnings of SnocCSP4. The findings revealed a high abundance of SnocCSP4 in male genitalia, significant sexual dimorphism in its expression, and high binding affinities to (−)-Globulol and 10-Oxodecanoic acid. Subsequent analysis identified hydrophobic cavities formed by non-polar amino acids (VAL, LEU, ILE, LYS) and the critical role of polar amino acids (ALA 46, GLU 45, THR 75) in maintaining system stability. These insights suggest the primary role of SnocCSP4 in binding or transporting these volatiles and indicate that modifying key amino acids could inform the design of more effective pest control measures.

Solvent Accessibility Promotes Rotamer Errors during Protein Modeling with Major Side-Chain Prediction Programs.

Side-chain rotamer prediction is one of the most critical late stages in protein 3D structure building. Highly advanced and specialized algorithms (e.g., FASPR, RASP, SCWRL4, and SCWRL4v) optimize this process by use of rotamer libraries, combinatorial searches, and scoring functions. We seek to identify the sources of key rotamer errors as a basis for correcting and improving the accuracy of protein modeling going forward. In order to evaluate the aforementioned programs, we process 2496 high-quality single-chained all-atom filtered 30% homology protein 3D structures and use discretized rotamer analysis to compare original with calculated structures. Among 513,024 filtered residue records, increased amino acid residue-dependent rotamer errors─associated in particular with polar and charged amino acid residues (ARG, LYS, and GLN)─clearly correlate with increased amino acid residue solvent accessibility and an increased residue tendency toward the adoption of non-canonical off rotamers which modeling programs struggle to predict accurately. Understanding the impact of solvent accessibility now appears key to improved side-chain prediction accuracies.

A single F153Sβ3 mutation causes constitutive integrin αIIbβ3 activation in a variant form of Glanzmann thrombasthenia.

This report identifies a novel variant form of the inherited bleeding disorder Glanzmann thrombasthenia, exhibiting only mild bleeding in a physically active individual. The platelets cannot aggregate exvivo with physiologic agonists of activation, although microfluidic analysis with whole blood displays moderate exvivo platelet adhesion and aggregation consistent with mild bleeding. Immunocytometry shows reduced expression of αIIbβ3 on quiescent platelets that spontaneously bind/store fibrinogen, and activation-dependent antibodies (ligand-induced binding site-319.4 and PAC-1) report β3 extension suggesting an intrinsic activation phenotype. Genetic analysis reveals a single F153Sβ3 substitution within the βI-domain from a heterozygous T556C nucleotide substitution of ITGB3 exon 4 in conjunction with a previously reported IVS5(+1)G>A splice site mutation with undetectable platelet messenger RNA accounting for hemizygous expression of S153β3. F153 is completely conserved among β3 of several species and all human β-integrin subunits suggesting that it may play a vital role in integrin structure/function. Mutagenesis of αIIb-F153Sβ3 also displays reduced levels of a constitutively activated αIIb-S153β3 on HEK293T cells. The overall structural analysis suggests that a bulky aromatic, nonpolar amino acid (F,W)153β3 is critical for maintaining the resting conformation of α2- and α1-helices of the βI-domain because small amino acid substitutions (S,A) facilitate an unhindered inward movement of the α2- and α1-helices of the βI-domain toward the constitutively active αIIbβ3 conformation, while a bulky aromatic, polar amino acid (Y) hinders such movements and restrains αIIbβ3 activation. The data collectively demonstrate that disruption of F153β3 can significantly alter normal integrin/platelet function, although reduced expression of αIIb-S153β3 may be compensated by a hyperactive conformation that promotes viable hemostasis.

Multiscale Topological Indices for the Quantitative Prediction of SARS CoV-2 Binding Affinity Change upon Mutations.

The Coronavirus disease 2019 (COVID-19) has affected people's lives and the development of the global economy. Biologically, protein-protein interactions between SARS-CoV-2 surface spike (S) protein and human ACE2 protein are the key mechanism behind the COVID-19 disease. In this study, we provide insights into interactions between the SARS-CoV-2 S-protein and ACE2, and propose topological indices to quantitatively characterize the impact of mutations on binding affinity changes (ΔΔG). In our model, a series of nested simplicial complexes and their related adjacency matrices at various different scales are generated from a specially designed filtration process, based on the 3D structures of spike-ACE2 protein complexes. We develop a set of multiscale simplicial complexes-based topological indices, for the first time. Unlike previous graph network models, which give only a qualitative analysis, our topological indices can provide a quantitative prediction of the binding affinity change caused by mutations and achieve great accuracy. In particular, for mutations that happened at specifical amino acids, such as Polar amino acids or Arginine amino acids, the correlation between our topological gravity model index and binding affinity change, in terms of Pearson correlation coefficient, can be higher than 0.8. As far as we know, this is the first time multiscale topological indices have been used in the quantitative analysis of protein-protein interactions.

A Novel Color Switch of Microbial Rhodopsin.

Function of animal and microbial rhodopsins starts by light absorption of the retinal chromophore. The absorption maximum wavelength (λmax) of rhodopsins is determined by the energy gap between the electronically ground (S0) and first excited (S1) state of the retinal chromophore, and the color tuning mechanism is one of the central topics in rhodopsin research. "Color switches", color-determining residues, are red- and blue-shifting amino acids at the same position in two rhodopsins, whose exchange causes spectral blue- and red-shifts, respectively, in each rhodopsin. As mutation easily destroys elaborate chromophore-protein interactions, the known color switches in microbial rhodopsins are limited; the L/Q switch in C-helix (TM3), the A/TS switch in G-helix (TM7), and the G/P switch in F-helix (TM6). Here, we report a novel color switch of microbial rhodopsins, which is located in D-helix (TM4). In this color switch, the red- and blue-shifting amino acids are Asn (N) and Leu (L)/Ile (I), respectively. As Asn and Leu/Ile are polar and nonpolar amino acids, respectively, and the position is located near the β-ionone ring, the N/LI switch matches the general rule of color tuning by polarity. The N/LI switch is also useful for optogenetics, as many ion-transporting rhodopsins contain blue-shifting amino acids, such as L and I, at that position.

Structure-function studies of a novel laccase-like multicopper oxidase from Thermothelomyces thermophila provide insights into its biological role.

Multicopper oxidases are promiscuous biocatalysts with great potential for the production of industrial compounds. This study is focused on the elucidation of the structure-function determinants of a novel laccase-like multicopper oxidase from the thermophilic fungus Thermothelomyces thermophila (TtLMCO1), which is capable of oxidizing both ascorbic acid and phenolic compounds and thus is functionally categorized between the ascorbate oxidases and fungal ascomycete laccases (asco-laccases). The crystal structure of TtLMCO1, determined using an AlphaFold2 model due to a lack of experimentally determined structures of close homologues, revealed a three-domain laccase with two copper sites, lacking the C-terminal plug observed in other asco-laccases. Analysis of solvent tunnels highlighted the amino acids that are crucial for proton transfer into the trinuclear copper site. Docking simulations showed that the ability of TtLMCO1 to oxidize ortho-substituted phenols stems from the movement of two polar amino acids at the hydrophilic side of the substrate-binding region, providing structural evidence for the promiscuity of this enzyme.

Host-adaptive traits in the plant-colonizing Pseudomonas donghuensis P482 revealed by transcriptomic responses to exudates of tomato and maize

Pseudomonads are metabolically flexible and can thrive on different plant hosts. However, the metabolic adaptations required for host promiscuity are unknown. Here, we addressed this knowledge gap by employing RNAseq and comparing transcriptomic responses of Pseudomonas donghuensis P482 to root exudates of two plant hosts: tomato and maize. Our main goal was to identify the differences and the common points between these two responses. Pathways upregulated only by tomato exudates included nitric oxide detoxification, repair of iron-sulfur clusters, respiration through the cyanide-insensitive cytochrome bd, and catabolism of amino and/or fatty acids. The first two indicate the presence of NO donors in the exudates of the test plants. Maize specifically induced the activity of MexE RND-type efflux pump and copper tolerance. Genes associated with motility were induced by maize but repressed by tomato. The shared response to exudates seemed to be affected both by compounds originating from the plants and those from their growth environment: arsenic resistance and bacterioferritin synthesis were upregulated, while sulfur assimilation, sensing of ferric citrate and/or other iron carriers, heme acquisition, and transport of polar amino acids were downregulated. Our results provide directions to explore mechanisms of host adaptation in plant-associated microorganisms.

Kinetic parameters for H abstraction from the serine amino acid molecule

The Serine compound signifies an important model entity of polar amino acids species in various categories of biomass. The presence of adjacent amino and hydroxyl groups is expected to afford this molecule distinct fragmentation pathways. Comprehending the decomposition chemistry of serine (and other amino acids) is of a crucial important in the pursuit to minimize emission of notorious nitrogen-bearing species during thermal treatment of biomass. This contribution provides thermo-kinetic parameters for H abstraction from the five distinct sites in the serine molecule; namely amine’s, secondary’s, hydroxyl’s, and α CH hydrogen atoms by the abundant radical species in the pyrolytic/oxidative environments (H, CH3, NH2, OH, and HO2). For all considered radicals, it is illustrated that reactions of these five radicals predominantly ensue through abstraction of the α CH’s hydrogen atoms. Nonetheless, computed reaction rate constants also disclose that abstraction from the secondary’s H site becomes important as the temperature increases. Outcomes provided herein could be deployed in formulating robust kinetic models that account for the nitrogen transformation chemistry in energy recovery of biomass.

Human Autoantigen Atlas: Searching for the Hallmarks of Autoantigens.

Understanding autoimmunity to endogenous proteins is crucial in diagnosing and treating autoimmune diseases. In this work, we developed a user-friendly AAgAtlas portal (http://biokb.ncpsb.org.cn/aagatlas_portal/index.php#), which can be used to search for 8045 non-redundant autoantigens (AAgs) and 47 post-translationally modified AAgs against 1073 human diseases that are prioritized by a credential score developed by multisource evidence. Using AAgAtlas, the immunogenic properties of human AAgs was systematically elucidated according to their genetic, biophysical, cytological, expression profile, and evolutionary characteristics. The results indicated that human AAgs are evolutionally conserved in protein sequence and enriched in three hydrophilic and polar amino acid residues (K, D, and E) that are located at the protein surface. AAgs are enriched in proteins that are involved in nucleic acid binding, transferase, and the cytoskeleton. Genome, transcriptome, and proteome analyses further indicated that AAb production is associated with gene variance and abnormal protein expression related to the pathological activities of different tumors. Collectively, our data outlines the hallmarks of human AAgs that facilitate the understanding of humoral autoimmunity and the identification of biomarkers of human diseases.

New insights into the bioaccessibility and metabolic fates of short-chain bioactive peptides in goat milk using the INFOGEST static digestion model and an improved data acquisition strategy

The metabolic fates of potentially bioactive short-chain peptides (SCPs; amino acid numbers between 2 and 4) in gastrointestinal digestion have received little attention due to their low concentration and broad suppression during high resolution mass spectrometry (HRMS) analysis. A tailored workflow integrating mesoporous magnetic solid phase extraction and a novel ion transmission strategy (data-dependent acquisition combined with both an inclusion list and an exclusion list followed by a data-independent acquisition) was used to profile the composition of SCPs during in vitro simulated digestion (LOQ 0.02 to 0.1 μg L-1). A total of 47 dipeptides, 59 tripeptides, and 21 tetrapeptides were identified and quantified from 0.01 to 27.84 mg L-1 (RSD ≤ 9.1%) based on parallel reaction monitoring and an internal standard method. The structural properties of stable SCPs resistant to intestinal digestion were determined by analysis of variance (p < 0.05), with a Pro residue at the C-terminal or penultimate position, a slightly greater negative charge at pH 7.0, and fewer C-terminal aliphatic and polar amino acids. SCPs' metabolic fates varied during digestion, but the overall trend of content change for either total or individual SCP increased as the digestion proceeded, and they were further assessed by a database-driven bioactivity search, which matched a wide variety of bioactivities with the predominance of dipeptidyl peptidase (DPP) IV and angiotensin-converting enzyme (ACE) inhibitors. This study facilitated the understanding of bioaccessibility of the food-derived SCPs and provided essential guidelines for the properties of conserved structure in vivo.

Relevance of aromatic and polar amino acids in the specificity of Inulinase ISO3 from Kluyveromyces marxianus: A molecular dynamics approach with an experimental verification

The Inulinase from Kluyveromyces marxianus ISO3 (Inu-ISO3) is an enzyme able to hydrolyze linear fructans such as chicory inulin as well as branched fructans like agavin. This enzyme was cloned and expressed in Komagataella pastoris to study the role of selected aromatic and polar residues in the catalytic pocket by Alanine scanning. Molecular dynamics (MD) simulations and enzyme kinetics analysis were performed to study the functional consequences of these amino acid substitutions.Site-directed mutagenesis was used to construct the mutants of the enzyme after carrying out the MD simulations between Inu-ISO3 and its substrates. Mutation Trp79:Ala resulted in the total loss of activity when fructans were used as substrates, while with sucrose, the activity decreased by 98 %. In contrast, the mutations Phe113:Ala and Gln236:Ala increased the invertase activity when sucrose was used as a substrate. Although these amino acids are not part of the conserved motifs where the catalytic triad is located, they are essential for the enzyme's activity. In silico and experimental approaches corroborate the relevance of these residues for substrate binding and their influence on enzymatic activity.

Structural implications of SARS-CoV-2 Surface Glycoprotein N501Y mutation within receptor-binding domain [499-505] – computational analysis of the most frequent Asn501 polar uncharged amino acid mutations

The aim of this study was to evaluate the impact of the most frequent Asn501 polar uncharged amino acid mutations upon important structural properties of SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) Surface Glycoprotein RBD – hACE2 (human angiotensin-converting enzyme 2) heterodimer. Mutations N501Y, N501T and N501S were considered and their impact upon complex solubility, secondary motifs formation and intermolecular hydrogen bonding interface was analyzed. Results and findings are reported based on 50 ns run in Gromacs molecular dynamics simulation software. Special attention is paid on the biomechanical shifts in the receptor-binding domain (RBD) [499-505]: ProThrAsn(Tyr)GlyValGlyTyr, having substituted Asparagine to Tyrosine at position 501. The main findings indicate that the N501S mutation increases SARS-CoV-2 S-protein RBD – hACE2 solubility over N501T, N501 (wild type): , . The N501Y mutation shifts -helix S-protein RBD [366-370]: SerValLeuTyrAsn into π-helix for t > 38.5 ns. An S-protein RBD [503-505]: ValGlyTyr shift from -helix into a turn is observed due to the N501Y mutation in t > 33 ns. An empirical proof for the presence of a Y501-binding pocket, based on RBD [499-505]: PTYGVGY ’s RMSF peak formation is presented. There is enhanced electrostatic interaction between Tyr505 (RBD) phenolic -OH group and Glu37 (hACE2) side chain oxygen atoms due to the N501Y mutation. The N501Y mutation shifts the hydrogen bond into permanent polar contact; ; .

Reactive molecular dynamics simulations on interaction mechanisms of cold atmospheric plasmas and peptides

Plasma medicine is a rapidly growing multidisciplinary field, which mainly focuses on the application of Cold Atmospheric Plasma (CAP) in bioengineering. Several experiments have suggested that amino acids in proteins are excellent targets for plasma-derived chemical species. To gain a deep insight into the oxidative modification of proteins induced by CAP, a ReaxFF-based reactive Molecular Dynamics simulations are performed to investigate the reaction mechanism of Reactive Oxygen Species produced in CAP and the model peptides. The simulation results show that sulfur-containing amino acids with high reactivity could be oxidized to sulfuric acid moiety through sulfonation, and only H-abstraction reaction can take place for aromatic amino acids. The oxidation of five-membered ring amino acids could be observed by yielding the ring-open products in the simulations. Additionally, the dehydrogenation and hydroxylation of carbon-chain amino acids were also found from the simulations, with the formation of the hydroxyl group. The polar amino acids with the electron-rich structure were oxidized to a variety of products, such as di-hydroxylated lysine and hydroxylated asparagine. This study provides a crucial step to understand the processes of oxidative modifications and inactivation of proteins induced by CAP, showing a deep insight on the mechanism of plasma medicine.

How Single Amino Acid Substitutions Can Disrupt a Protein Hetero-Dimer Interface: Computational and Experimental Studies of the LigAB Dioxygenase from Sphingobium sp. Strain SYK-6.

Protocatechuate 4,5-dioxygenase (LigAB) is a heterodimeric enzyme that catalyzes the dioxygenation of multiple lignin derived aromatic compounds. The active site of LigAB is at the heterodimeric interface, with specificity conferred by the alpha subunit and catalytic residues contributed by the beta subunit. Previous research has indicated that the phenylalanine at the 103 position of the alpha subunit (F103α) controls selectivity for the C5 position of the aromatic substrates, and mutations of this residue can enhance the rate of catalysis for substrates with larger functional groups at this position. While several of the mutations to this position (Valine, V; Threonine, T; Leucine, L; and Histidine, H) were catalytically active, other mutations (Alanine, A; and Serine, S) were found to have reduced dimer interface affinity, leading to challenges in copurifing the catalytically active enzyme complex under high salt conditions. In this study, we aimed to experimentally and computationally interrogate residues at the dimer interface to discern the importance of position 103α for maintaining the integrity of the heterodimer. Molecular dynamic simulations and electrophoretic mobility assays revealed a preference for nonpolar/aromatic amino acids in this position, suggesting that while substitutions to polar amino acids may produce a dioxygenase with a useful substrate utilization profile, those considerations may be off-set by potential destabilization of the catalytically active oligomer. Understanding the dimerization of LigAB provides insight into the multimeric proteins within the largely uncharacterized superfamily and characteristics to consider when engineering proteins that can degrade lignin efficiently. These results shed light on the challenges associated with engineering proteins for broader substrate specificity.

Improved Analytical Performance of an Amphiphilic Probe upon Protein Encapsulation: Spectroscopic Investigation along with Computational Rationalization.

An easily synthesizable pyrene-based amphiphilic probe (Pybpa) has been developed, which exhibited no responses with metal ions in the pure aqueous medium despite possessing a metal ion-chelating bispicolyl unit. We believe that spontaneous aggregation of Pybpa in aqueous medium makes the ion binding unit not accessible to the metal ions. However, the sensitivity and selectivity of Pybpa toward Zn2+ ions drastically improve in the presence of serum albumin protein, HSA. The differences in the microenvironment inside the protein cavity, in terms of local polarity, and conformational rigidity might be attributing factors for that. The mechanistic investigations also suggest that there might be the involvement of polar amino acid residues that take part in coordination with Zn2+ ions. Pybpa shows no detectable spectroscopic changes with Zn2+ ions in aqueous medium in the absence of HSA. However, it can effectively recognize Zn2+ ions in the protein-bound form. Moreover, the photophysical behavior of Pybpa and its zinc complex have been investigated with DFT and docking studies. Noteworthy, such an unusual sensing aspect of Zn2+ exclusively in the protein-bound state and particularly in aqueous medium is truly rare and innovative.