Biochimica et biophysica acta. Proteins and proteomics最新文献

DNA replication stops when chemical or physical damage occurs to the DNA. Repairing genomic DNA and reloading the replication helicase are crucial steps for restarting DNA replication. The Escherichia coli primosome is a complex of proteins and DNA responsible for reloading the replication helicase DnaB. DnaT, a protein found in the primosome complex, contains two functional domains. The C-terminal domain (89–179) forms an oligomeric complex with single-stranded DNA. Although the N-terminal domain (1–88) forms an oligomer, the specific residues responsible for this oligomeric structure have not yet been identified.

In this study, we proposed that the N-terminal domain of DnaT has a dimeric antitoxin structure based on its primary sequence. Based on the proposed model, we confirmed the site of oligomerization in the N-terminal domain of DnaT through site-directed mutagenesis. The molecular masses and thermodynamic stabilities of the site-directed mutants located at the dimer interface, namely Phe42, Tyr43, Leu50, Leu53, and Leu54, were found to be lower than those of the wild-type. Moreover, we observed a decrease in the molecular masses of the V10S and F35S mutants compared to the wild-type DnaT. NMR analysis of the V10S mutant revealed that the secondary structure of the N-terminal domain of DnaT was consistent with the proposed model. Additionally, we have demonstrated that the stability of the oligomer formed by the N-terminal domain of DnaT is crucial for its function. Based on these findings, we propose that the DnaT oligomer plays a role in replication restart in Escherichia coli.

Sea anemone venoms are complex mixtures of biologically active compounds, including disulfide-rich peptides, some of which have found applications as research tools, and others as therapeutic leads. Our recent transcriptomic and proteomic studies of the Australian sea anemone Telmatactis stephensoni identified a transcript for a peptide designated Tst2. Tst2 is a 38-residue peptide showing sequence similarity to peptide toxins known to interact with a range of ion channels (Na_V, TRPV1, K_V and Ca_V). Recombinant Tst2 (rTst2, which contains an additional Gly at the N-terminus) was produced by periplasmic expression in Escherichia coli, enabling the production of both unlabelled and uniformly ¹³C,¹⁵N–labelled peptide for functional assays and structural studies. The LC-MS profile of the recombinant Tst2 showed a pure peak with molecular mass 6 Da less than that of the reduced form of the peptide, indicating the successful formation of three disulfide bonds from its six cysteine residues. The solution structure of rTst2 was determined using multidimensional NMR spectroscopy and revealed that rTst2 adopts an inhibitor cystine knot (ICK) structure. rTst2 was screened using various functional assays, including patch–clamp electrophysiological and cytotoxicity assays. rTst2 was inactive against voltage-gated sodium channels (Na_V) and the human voltage-gated proton (hHv1) channel. rTst2 also did not possess cytotoxic activity when assessed against Drosophila melanogaster flies. However, the recombinant peptide at 100 nM showed >50% inhibition of the transient receptor potential subfamily V member 1 (TRPV1) and slight (∼10%) inhibition of transient receptor potential subfamily A member 1 (TRPA1). Tst2 is thus a novel ICK inhibitor of the TRPV1 channel.

The second most prevalent neurodegenerative disease, Parkinson's disease (PD), is caused by the accumulation and deposition of fibrillar aggregates of the α-Syn into the Lewy bodies. To create a potent pharmacological candidate to destabilize the preformed α-Syn fibril, it is important to understand the precise molecular mechanism underlying the destabilization of the α-Syn fibril. Through molecular dynamics simulations and experiments, we have examined the molecular mechanisms causing the destabilization and suppression of a newly discovered α-Syn fibril with a Greek-key-like shape and an aggregation prone state (APS) of α-Syn in the presence and absence of various Flvs. According to MD simulation and experimental evidence, morin, quercetin, and myricetin are the Flvs, most capable of destabilizing the fibrils and converting them into amorphous aggregates. Compared to galangin and kaempferol, they have more hydroxyl groups and form more hydrogen bonds with fibrils.The processes by which morin and myricetin prevent new fibril production from APS and destabilize the fibrils are different. According to linear interaction energy analysis, van der Waals interaction predominates with morin, and electrostatic interaction dominates with myricetin. Our MD simulation and experimental findings provide mechanistic insights into how Flvs destabilize α-Syn fibrils and change their morphology, opening the door to developing structure-based drugs for treating Parkinson's disease.

Tauopathies and synucleinopathies are characterized by the aggregation of Tau and α-synuclein (AS) into amyloid structures, respectively. Individuals with these neuropathies have an elevated risk of developing subsequent neurodegenerative or comorbid disorders. Intriguingly, post-mortem brain examinations have revealed co-localization of Tau and AS aggregates, suggesting a synergistic pathological relationship with an adverse prognosis. The role of liquid-liquid phase separation (LLPS) in the development of neurodegenerative diseases is currently receiving significant attention, as it can contribute to the aggregation and co-deposition of amyloidogenic proteins. In this study, we investigated the phase separation behavior of Tau and AS under various insults, some of which are implicated in disease progression. Our findings demonstrate the formation of heterotypic droplets composed of Tau and AS at physiologically relevant mole ratios that mimic neurons' soma and terminal buttons. Importantly, these heterotypic droplets exhibit increased resistance to electrostatic screening compared to homotypic condensates. Moreover, we observed that biologically relevant biomolecules, known to be dysregulated in disease, exert different effects on these droplets. Additionally, we provide evidence that phase separation itself influences the amyloid aggregation of Tau and AS, underscoring the significance of this process in the development of aggregopathies.

Over the last 40 years nuclear magnetic resonance (NMR) spectroscopy has established itself as one of the most versatile techniques for the characterization of biomolecules, especially proteins. Given the molecular size limitations of NMR together with recent advances in cryo-electron microscopy and artificial intelligence-assisted protein structure prediction, the bright future of NMR in structural biology has been put into question. In this mini review we argue the contrary. We discuss the unique opportunities solution NMR offers to the protein chemist that distinguish it from all other experimental or computational methods, and how it can benefit from machine learning.

Protein-protein interactions (PPIs) play a critical role in various biological processes. Accurately estimating the binding affinity of PPIs is essential for understanding the underlying molecular recognition mechanisms. In this study, we employed a deep learning approach to predict the binding affinity (ΔG) of protein-protein complexes. To this end, we compiled a dataset of 903 protein-protein complexes, each with its corresponding experimental binding affinity, which belong to six functional classes. We extracted 8 to 20 non-redundant features from the sequence information as well as the predicted three-dimensional structures using feature selection methods for each protein functional class. Our method showed an overall mean absolute error of 1.05 kcal/mol and a correlation of 0.79 between experimental and predicted ΔG values. Additionally, we evaluated our model for discriminating high and low affinity protein-protein complexes and it achieved an accuracy of 87% with an F1 score of 0.86 using 10-fold cross-validation on the selected features. Our approach presents an efficient tool for studying PPIs and provides crucial insights into the underlying mechanisms of the molecular recognition process. The web server can be freely accessed at https://web.iitm.ac.in/bioinfo2/DeepPPAPred/index.html

Annually, over 18 million disease cases and half a million deaths worldwide are estimated to be caused by Group A Streptococcus. ScpA (or C5a peptidase) is a well characterised member of the cell enveleope protease family, which possess a S8 subtilisin-like catalytic domain and a shared multi-domain architecture. ScpA cleaves complement factors C5a and C3a, impairing the function of these critical anaphylatoxins and disrupts complement-mediated innate immunity. Although the high resolution structure of ScpA is known, the details of how it recognises its substrate are only just emerging. Previous studies have identified a distant exosite on the 2nd fibronectin domain that plays an important role in recruitment via an interaction with the substrate core. Here, using a combination of solution NMR spectroscopy, mutagenesis with functional assays and computational approaches we identify a second exosite within the protease-associated (PA) domain. We propose a model in which the PA domain assists optimal delivery of the substrate's C terminus to the active site for cleavage.

D-amino acid oxidase (DAO) maintains the intracellular d-serine level which modulates the activity of the N-methyl-d-aspartate receptor and its dysfunction has been linked to several neurodegenerative disorders. In targeted next-generation sequencing study by our group, E121K mutation in DAO was associated with amyotrophic lateral sclerosis (ALS) in patients from India. However, variations in molecular mechanisms caused by this mutation which leads to ALS have not been studied. Hence, we carried out comparative biophysical characterization and assay studies of the wildtype- and mutant E121K-DAO. We observed that the purified E121K-DAO was inactive and exhibited a lower affinity for the FAD cofactor and benzoate inhibitor. Structural studies revealed that the E121K mutant has higher beta-sheet content, melting temperature, and oligomeric states compared to the wildtype. Kinetic study of aggregation of the variants using thioflavin-T confirmed that the E121K-DAO was more prone to aggregation. Microscopic visualization showed that the aggregation proceeds through an intermediate step involving the formation of fibrillar structures in the E121K mutant. Our results give insights into the underlying mechanisms leading to ALS pathogenesis.

Activity-based protein profiling has facilitated the study of the activity of enzymes in proteomes, inhibitor development, and identification of enzymes that share mechanistic and active-site architectural features. Since methyl acyl phosphate monoesters act as electrostatically selective anionic electrophiles for the covalent modification of nucleophiles that reside adjacent to cationic sites in proteins, we synthesized methyl hex-5-ynoyl phosphate (MHP) to broadly target such protein architectures. After treating the soluble proteome of Paucimonas lemoignei with MHP, biotinylating the resulting acylated proteins using click chemistry, enriching the protein adducts using streptavidin, and analyzing the proteins by LC-MS/MS, a set of 240 enzymes and 132 non-enzyme proteins were identified for a wide spectrum of biological processes and from all 7 enzyme classes. Among those enzymes identified, β-hydroxybutyrate dehydrogenase (PlHBDH) and CTP synthase (E. coli orthologue, EcCTPS) were purified as recombinant enzymes and their rates of inactivation and sites of modification by MHP and methyl acetyl phosphate (MAP) were characterized. MHP reacted more slowly with these proteins than MAP but exhibited greater specificity, despite its lack of multiple binding determinants. Generally, MAP modified more surface residues than MHP. MHP specifically modified Ser 146, Lys 156, and Lys 163 at the active site of PlHBDH. MHP and MAP modified numerous residues of EcCTPS with CTP furnishing the greatest level of protection against MHP- and MAP-dependent modification and inactivation, respectively, followed by ATP and glutamine. Overall, MHP served as an effective probe to identify proteins that are potentially amenable to inhibition by methyl acyl phosphates.

HSP70 and its evolutionarily diverged co-chaperone HSP110, forms an important node in protein folding cascade. How these proteins maintain the aggregation-prone proteome of malaria parasite in functional state remains underexplored, in contrast to its human orthologs. In this study, we have probed into conformational dynamics of plasmodial HSP70 and HSP110 through multiple μs MD-simulations (ATP-state) and compared with their respective human counterparts. Simulations covered sampling of 3.4 and 2.8 μs for HSP70 and HSP110, respectively, for parasite and human orthologs. We provide a comprehensive description of the dynamic behaviors that characterize the systems and also introduce a parameter for quantifying protein rigidity. For HSP70, the interspecies comparison reveals enhanced flexibility in IA and IB subdomain within the conserved NBD, lesser solvent accessibility of the interdomain linker and distinct dynamics of the SBDβ of Pf HSP70 in comparison to Hs HSP70. In the case of HSP110, notable contrast in the dynamics of NBD, SBDβ and SBDα was observed between parasite and human ortholog. Although HSP70 and HSP110 are members of the same superfamily, we identified specific differences in the subdomain contacts in NBD, linker properties and interdomain movements in their human and parasite orthologs. Our study suggests that differences in conformational dynamics may translate into species-specific differences in the chaperoning activities of HSP70-HSP110 in the parasite and human, respectively. Dynamical features of Pf HSP70-HSP110 may contribute to the maintenance of proteostasis in the parasite during its intracellular survival in the host.