Journal of Biomolecular Structure & Dynamics最新文献

Enterococcus faecalis is commonly found in the GI tract of humans and animals. It causes various infections, especially in hospital environments, and shows growing antibiotic resistance. This study utilized a subtractive proteomics approach to find out the potential drug targets in E. faecalis. Unique metabolic pathways were analysed and compared to the host to minimize adverse effects. Among twenty nine pathogenic specific and seventy three host-pathogen common pathways identified using the KEGG database, sixty seven essential proteins were found through the DEG BLAST search. PSORTB predicted that forty cytoplasmic proteins could be suitable as druggable targets. Further analysis identified fourteen proteins with virulence properties using the VFDB BLAST. Among these, seven proteins with more than ten antigenic sites were subjected to DrugBank BLAST, identifying three novel and four existing drug targets. One of the crucial drug targets, MurM, was selected due to its critical role in peptidoglycan biosynthesis. The reason for selecting MurM is crucial for addressing antibiotic resistance, disrupting bacterial cell wall synthesis, and attaining selective antimicrobial activity. MurM belongs to the mixed αβ class with two functional domains. The possible binding site residues of MurM are Trp31, Lys35, Trp38, Arg215, and Tyr219. Virtual screening identified potential lead candidates for MurM, and four were selected based on their physiochemical, pharmacokinetic, and structural properties. This study provides valuable insights into identifying and analysing a potential drug target, the MurM protein, and its inhibitors in E. faecalis V583.

The enzyme Asparaginyl Endopeptidase (AEP) is associated with proteinopathy-related pathologies such as Alzheimer's disease (AD) and Frontal Temporal Dementia (FTD). The onset of pathologies by AEP is due to cleaved fragments forming protein aggregates resulting in neurodegeneration. Unfortunately, there are no clinically approved small molecule inhibitors for AEP, and therefore, it serves as an unmet medical need for the design and development of potential novel small molecules. In developing potential inhibitors for proteolytic activity, a structured approach utilizing structure-based computer-aided drug design (SB-CADD) parameters was employed. This involved virtual high throughput screening (vHTS) across various CNS-focused databases enriched with diverse functionality. We identified the top sixty ligands based on the glide XP-docking score out of 10 million ligands. The free binding energy was then calculated using MM-GBSA for all top selected molecules which resulted in discovering that AEPI-1 to AEPI-6 (Asparaginyl Endopeptidase inhibitors) displayed high affinity towards the catalytic triad. Further investigation determined that all top six hits form stable complexes during 50 ns molecular dynamic simulations. We also observed that AEPI-2 demonstrated the highest stability within the binding pockets. Post-MD analyses such as DCCM, PCA, PDF, and ADMET properties were also evaluated. By bridging all the observations, we observed these six molecules occupy the active site of the β-helix (β1, β3, and β4) of the S1 pocket and additional binding sites in α1 and β5, suggesting its suitability as a potential candidate for drug discovery against Asparaginyl Endopeptidase.

Evolution from precellular supramolecular assemblies to cellular world originated from the ability to make a barrier between the interior of the cell and the outer environment. This step resulted from the possibility to form a membrane, which preserves the cell like a wall of the castle. However, every castle needs gates for trading, i.e. in the case of cell, for controlled exchange of substances. These 'gates' should have the mechanism of opening and closing, guards, entry rules, and so on. Different structures are known to be able to make membrane permeable to various substances, from ions to macromolecules. They are amphipathic peptides, their assemblies, sophisticated membrane channels with numerous transmembrane domains, etc. Upon evolving, cellular world preserved and selected many variants, which, finally, have provided both prokaryotes and eukaryotes with highly selective and regulated ion channels. However, various simpler variants of ion channels are found in viruses. Despite the origin of viruses is still under debates, they have evolved parallelly with the cellular forms of life. Being initial form of the enveloped organisms, reduction of protocells or their escaped parts, viruses might be fingerprints of the evolutionary steps of cellular structures like ion channels. Therefore, viroporins may provide us a necessary information about selection between high functionality and less complex structure in supporting all the requirements for controlled membrane permeability. In this review we tried to elucidate these compromises and show the possible way of the evolution of ion channels, from peptides to complex multi-subunit structures, basing on viral examples.

Single Nucleotide Variant (SNVs) affect gene expression as well as protein structure and activity, leading to reduced signaling capabilities and ultimately, increasing cancer risk. SOCS3 (suppressor of cytokine signaling 3), a critical tumor suppressor providing a substantial part in the feedback loop of the JAK/STAT pathway, is abnormally suppressed in various cancer. This study aims to screen non-coding and potentially deleterious coding SNVs in the SOCS3 gene. We performed six programs: PredictSNP1.0 (predicting Deleterious nsSNVs), ConSurf (analyzing sequence conservation), ModPred (analyzing SNVS in PTMs sites), I-Mutant and MUpro (to analyze SNVs effecting protein stability), and molecular docking and molecular dynamics (MD) (to assess the consequences of SOCS3 genetic variations on JAK interactions) for coding regions and three programs (UTRSite, SNP2TFBS, miRNA SNP) (to analyze SNVs effecting the gene expression) in non-coding regions, respectively. After screening 2786 SOCS3 SNVs, we found 10 SNVs, as well as 49 SNPs that change the function of non-coding areas. Out of 10 selected nsSNVs, 3 SNVs (W48R, R71C, N198S) predicted to be the most damaging by all the software programs, as well as one nsSNV (R194W) could be highly deleterious from Molecular Docking analysis combined with MD Simulations. Our findings propose a procedure for studying the structure-related consequences of SNVs on protein function in the future.Communicated by Ramaswamy H. Sarma.

Aedes aegypti is the primary vector for the transmission of the dengue virus, which causes dengue fever, dengue hemorrhagic illness and dengue shock syndrome. There is now no antiviral medication available to treat DENV, which kills thousands of people each year and infects millions of individuals. A possible target for the creation of fresh and efficient dengue treatments is the DENV-3 NS5 MTase. So, Nigella sativa quinones were examined using in silico methods to find natural anti-DENV compounds. The in silico docking was conducted utilising the Discovery Studio software on the quinones of N. sativa and the active site of the target protein DENV-3 NS5 MTase. In addition, the druggability and pharmacokinetics of the lead compound were assessed. Dithymoquinone was comparable to the reference compound in terms of its ability to bind to the active site of target protein. Dithymoquinone met the requirements for drug likeness and Lipinski's principles, as demonstrated by the ADMET analysis and drug likeness results. The current study indicated that the dithymoquinone from N. sativa had anti-DENV activity, suggesting further drug development and dengue treatment optimisation.Communicated by Ramaswamy H. Sarma.

Human MRP1 protein plays a vital role in cancer multidrug resistance. Coumarins show promising pharmacological properties. Virtual screening, ADMET, molecular docking and molecular dynamics (MD) simulations were utilized as pharmacoinformatic tools to identify potential MRP1 inhibitors among coumarin derivatives. Using in silico ADMET, 50 hits were further investigated for their selectivity toward the nucleotide-binding domains (NBDs) of MRP1 using molecular docking. Accordingly, coumarin, its symmetrical ketone derivative Lig. No. 4, and Reversan were candidates for focused docking study with the NBDs domains compared with ATP. The result indicates that Lig. No. 4, with the best binding score, interacts with NBDs via hydrogen bonds with residues: GLN713, LYS684, GLY683, CYS682 in NBD1, and GLY1432, GLY771, SER769 and GLN1374 in NBD2, which mostly overlap with ATP binding residues. Moreover, doxorubicin (Doxo) was docked to the transmembrane domains (TMDs) active site of MRP1. Doxo interaction with TMDs was subjected to MD simulation in the NBDs free and occupied with Lig. No. 4 states. The results showed that Doxo interacts more strongly with TMD residues in inward facing feature of TMDs helices. However, when Lig. No. 4 exists in NBDs, Doxo interactions are different, and TMD helices show more outward-facing conformation. This result may suggest a partial competitive inhibition mechanism for the Lig. No. 4 on MRP1 compared with ATP. So, it may inhibit active complex formation by interfering with ATP entrance to NBDs and locking MRP1 conformation in outward-facing mode. This study suggests a valuable coumarin derivative that can be further investigated for potent MRP1 inhibitors.Communicated by Ramaswamy H. Sarma.

Leishmaniasis is a widespread parasitic disease and is one of the major public health concerns in developing countries. Many drugs have been identified for leishmania as targets, but the potential toxicity and long-term treatment remain the most significant problems in terms of further development. The present study employed physicochemical investigations, structure-based virtual screening, ADMET analysis, molecular dynamics simulation, and MM-PBSA, to identify potential compounds for Leishmania. We evaluated 30,926 natural products from the NPASS database, and four potentials passed the pharmacokinetic ADMET studies and were verified using the molecular docking approach. Molecular docking results showed good binding interaction of the compounds with the active site of leishmania pteridine reductase enzyme PTR1, with compound TTC1 showing FRED and Autodock binding energies of -10.33 and -10.94, respectively, which were comparable with the antileishmania drugs of Allopurinol, Miltefosine and the original ligand, methotrexate. TTC1 compound was found to be favorable for hydrophobic interaction with PTR1. In addition, the physicochemical properties of the compounds were studied using the SwissADME web server. All compounds followed Lipinski's rule of five and can be considered as good oral candidates. The analysis of the 100 ns molecular dynamics simulation results based on the best-docked TTC1 with PTR1 receptor demonstrates stable interactions, and the complex undergoes low conformational fluctuations. The average of the calculated binding free energy of the TTC1-1e7w complex is (-68.67 kJ/mol), and the result demonstrated that the TTC1 promoted stability to the Leishmania-PTR1 complex. The potential compounds can be further explored for their antileishmanial activity.Communicated by Ramaswamy H. Sarma.

Myocardial infarction (MI) is a significant threat to human health and life. Xue-Fu-Zhu-Yu Decoction (XFZYD), a renowned traditional Chinese medicine prescription for treating myocardial infarction, is known to play a significant role in the management of MI. However, its mechanism of action remains unclear. Through network pharmacology analysis of compound-target interactions, we have identified Carbonic Anhydrase II (CA2) as a critical target for XFZYD in the treatment of MI. Subsequently, we will embark on a target-based drug design approach with a focus on CA2 as the key target: Pharmacophore modeling: Two pharmacophore models were developed and validated to screen for small molecules with CA2 inhibitory features. Virtual screening: Based on two pharmacophore models, small molecules with the property of binding to the CA2 target were screened from a virtual screening library. Molecular docking: Molecular docking was employed to identify small molecules with stable binding affinity to CA2. ADMET prediction: ADMET models were utilized to screen for small molecules with favorable pharmacological properties. Molecular dynamics: Molecular dynamics simulations were further conducted to analyze the binding modes of the selected small molecules with CA2, ultimately resulting in the identification of Ligand 3 and Ligand 5 as small molecule inhibitors targeting CA2. Finally, the mechanisms underlying the anti-MI effects were discussed. The primary objective of this article is to uncover the mechanism by which XFZYD acts on MI and utilize it for drug development. These findings provide novel avenues for the development of anti-MI drugs.Communicated by Ramaswamy H. Sarma.

A series of new heteroleptic oxovanadium(IV) complexes with the general formula [VOL^1-6(Dcf)] (1-6), where L^1-6 = thiosemicarbazone (TSC)-based ligands and Dcf = diclofenac have been synthesized and characterized. The spectral studies along with the density functional theory calculations evidenced the distorted square-pyramidal geometry around oxovanadium(IV) ion through imine nitrogen and thione sulfur atoms of TSC moiety, and two asymmetric carboxylate oxygen atoms of diclofenac drug. The complexes were evaluated for in vitro antioxidant activity using 2,2'-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid) (ABTS), 2,2'-diphenyl-1-picrylhydrazyl (DPPH), hydrogen peroxide (H₂O₂) and superoxide radical scavenging assays with respect to the standard antioxidant drugs butylated hydroxyanisole (BHA) and rutin. The in vitro antidiabetic activity of the complexes was tested with enzymes such as α-amylase, α-glucosidase and glucose-6-phosphatase. The complexes containing methyl substituent showed higher activity than that containing the nitro substituent due to the electron-donating effect of methyl group. The in silico molecular docking studies of the oxovanadium(IV) complexes with α-amylase and α-glucosidase enzymes showed strong interaction via hydrogen bonding and hydrophobic interactions. The dynamic behavior of the proposed complexes was analyzed by molecular dynamics (MDs) simulations, which revealed the stability of docked structures with α-amylase and α-glucosidase enzymes. The in silico physicochemical and pharmacokinetics parameters, such as Lipinski's 'rule of five', Veber's rule and absorption, distribution, metabolism and excretion (ADME) properties predicted non-toxic, non-carcinogenic and safe oral administration of the synthesized complexes.Communicated by Ramaswamy H. Sarma.

A prevalent food-borne pathogen, Salmonella enterica serotypes Typhi, is responsible for gastrointestinal and systemic infections globally. Salmonella vaccines are the most effective, however, producing a broad-spectrum vaccine remains challenging due to Salmonella's many serotypes. Efforts are urgently required to develop a novel vaccine candidate that can tackle all S. Typhi strains because of their high resistance to multiple kinds of antibiotics (particularly the XDR H58 strain). In this work, we used a computational pangenome-based vaccine design technique on all available (n = 119) S. Typhi reference genomes and identified one TonB-dependent siderophore receptor (WP_001034967.1) as highly conserved and prospective vaccine candidates from the predicted core genome (n = 3,351). The applied pan-proteomics and Immunoinformatic approaches help in the identification of four epitopes that may trigger adequate host body immune responses. Furthermore, the proposed vaccine ensemble demonstrates a stable binding conformation with the examined immunological receptor (HLAs and TRL2/4) and has large interaction energy determined via molecular docking and molecular dynamics simulation techniques. Eventually, an expression vector for the Escherichia. coli K12 strain was constructed from the vaccine sequence. Additional analysis revealed that the vaccine may help to elicit strong immune responses for typhoid infections, however, experimental analysis is required to verify the vaccine's effectiveness based on these results. Moreover, the applied computer-assisted vaccine design may considerably decrease vaccine development costs and speed up the process. The study's findings are intriguing, but they must be evaluated in the experimental labs to confirm the developed vaccine's biological efficiency against XDR S. Typhi.Communicated by Ramaswamy H. Sarma.