Insights into structure and dynamics of extracellular domain of Toll-like receptor 5 in Cirrhinus mrigala (mrigala): A molecular dynamics simulation approach

Computational analysis of zoanthamine alkaloids from Zoanthus sp. as potential DKK1 and GSK-3β inhibitors for osteoporosis therapy via Wnt signaling

Marine invertebrates are a rich source of structurally diverse secondary metabolites with broad biological activities, making them valuable for drug discovery. The genus Zoanthus is particularly noteworthy, producing numerous bioactive alkaloids, including the zoanthamines, which show promise in treating osteoporosis. Osteoporosis, a debilitating bone disease characterized by reduced bone mineral density and increased fracture risk, is linked to Wnt signaling pathway dysregulation. This highly conserved pathway maintains tissue homeostasis and is crucial for neurogenesis, synapse formation, and bone development. Dickkopf-1 (DKK1) and glycogen synthase kinase-3β (GSK-3β), key Wnt pathway regulators, are established therapeutic targets for osteoporosis. This study employed an integrated computational approach-combining molecular docking, extensive molecular dynamics (MD) simulations, and density functional theory (DFT) calculations-to assess the inhibitory potential of 69 zoanthamine-type alkaloids against DKK1 and GSK-3β. MD simulations, analyzing root mean square deviation (RMSD), root mean square fluctuation (RMSF), radius of gyration, and free energy landscape, provided insights into protein-ligand complex stability and key interactions. Binding free energies were calculated using the MM-PBSA method combined with interaction entropy. DFT calculations further elucidated the electronic structure and reactivity of the most promising inhibitors (3α-hydroxyzoanthenamine, epioxyzoanthamine, 7α-hydroxykuroshine E, and norzoanthamine), which exhibited favorable binding interactions with key residues in target proteins. This integrative approach demonstrates the power of computational methods in drug discovery, highlighting the potential of zoanthamine alkaloids as lead compounds for innovative osteoporosis therapies.

TLR5's Role in Obesity-related Hypertension: Updated Evidence and Prospects

Toll-like receptor 5 (TLR5), integral to the immune system as a primary sensor for flagellin, is central to the link between innate and adaptive immunity, modulating immune responses and cytokine production essential for defense against flagellated pathogens and immune tolerance. This review consolidates the understanding of TLR5's structural and signaling mechanisms and its interactions with flagellin, shedding light on its dual role in immune responses and its promise as a therapeutic target. It highlights TLR5's intricate role in the pathogenesis of obesity-related hypertension, a growing global health concern that correlates with rising obesity rates and is characterized by a complex interplay of immune responses and metabolic dysregulation. Despite the current understanding, the impact of TLR5 on obesity-related hypertension is marked by conflicting findings, indicating a need for further exploration. The review critically analyzes the existing literature, providing novel insights from rodent models and human studies that underscore TLR5's therapeutic potential, setting the stage for transformative research in managing obesity-related hypertension. It calls for deeper investigation into TLR5's multifaceted role, emphasizing its promise as a target for managing obesity-related hypertension and the necessity for future research to clarify its complexities and to innovate treatment strategies.

Structural and Functional Characterization of Conserved Key Amino Acids in Lipoteichoic Acid Synthase LtaS of Lactiplantibacillus plantarum

Lipoteichoic acid synthase (LtaS) is crucial for the biosynthesis of lipoteichoic acid (LTA) in lactic acid bacteria (LAB), where LTA plays a key role in bacterial adhesion, immune modulation, and maintaining cell integrity. This study explores the regulation of LtaS activity in Lactiplantibacillus plantarum, examining the effects of factors such as temperature, pH, and metal ions on enzyme activity. Molecular docking was used to identify critical amino acids at the enzyme's active site, and site-directed mutagenesis confirmed the role of five key residues (Glu-259, Thr-303, Asn-353, Arg-360, and His-420) in LtaS activity. Among them, Thr-303 plays a pivotal role, followed by Glu-259 and His-420. Conservation analysis revealed that these active-site residues are highly conserved across LAB species. These findings provide valuable insights into the functional properties of LtaS, offering potential for enhancing the efficacy of LAB-based probiotics and improving their therapeutic benefits in health applications.

Deep learning based predictive modeling to screen natural compounds against TNF-alpha for the potential management of rheumatoid arthritis: Virtual screening to comprehensive in silico investigation

Rheumatoid arthritis (RA) affects an estimated 0.1% to 2.0% of the world's population, leading to a substantial impact on global health. The adverse effects and toxicity associated with conventional RA treatment pathways underscore the critical need to seek potential new therapeutic candidates, particularly those of natural sources that can treat the condition with minimal side effects. To address this challenge, this study employed a deep-learning (DL) based approach to conduct a virtual assessment of natural compounds against the Tumor Necrosis Factor-alpha (TNF-α) protein. TNF-α stands out as the primary pro-inflammatory cytokine, crucial in the development of RA. Our predictive model demonstrated appreciable performance, achieving MSE of 0.6, MAPE of 10%, and MAE of 0.5. The model was then deployed to screen a comprehensive set of 2563 natural compounds obtained from the Selleckchem database. Utilizing their predicted bioactivity (pIC50), the top 128 compounds were identified. Among them, 68 compounds were taken for further analysis based on drug-likeness analysis. Subsequently, selected compounds underwent additional evaluation using molecular docking (< - 8.7 kcal/mol) and ADMET resulting in four compounds posing nominal toxicity, which were finally subjected to MD simulation for 200 ns. Later on, the stability of complexes was assessed via analysis encompassing RMSD, RMSF, Rg, H-Bonds, SASA, and Essential Dynamics. Ultimately, based on the total binding free energy estimated using the MM/GBSA method, Imperialine, Veratramine, and Gelsemine are proven to be potential natural inhibitors of TNF-α.

Alternative splicing generates a novel ferroportin isoform with a shorter C-terminal and an intact iron- and hepcidin-binding property

Ferroportin (FPN) is a transmembrane protein and is the only known iron exporter that helps in maintaining iron homeostasis in vertebrates. To maintain stable iron equilibrium in the body, ferroportin works in conjunction with a peptide called hepcidin. In this study, we have identified an alternatively spliced novel isoform of the human SLC40A1 gene, which encodes for the FPN protein and is found to be expressed in different tissues. The novel transcript has an alternate last exon and encodes 31-amino acid long peptide sequence that replaces 104 amino acids at C-terminal in the novel transcript. Molecular modelling and molecular dynamics (MD) simulation studies revealed key structural features of the novel isoform (FPN-N). FPN-N was predicted to have 12 transmembrane domains similar to the reported isoform (FPN), despite being much smaller in size. FPN-N was found to interact with hepcidin, a key regulator of ferroportin activity. Also, the iron-binding sites were retained in the novel isoform as revealed by the MD simulation of FPN-N in bilipid membrane. The novel isoform identified in this study may play important role in iron homeostasis. However, further studies are required to characterize the FPN-N isoform and decipher its role inside the cell.

Structural insights of Labeo catla (catla) myxovirus resistance protein,GTP binding recognition and constitutive expression induced with Poly I:C

The Myxovirus resistance (Mx) proteins are critical effectors belonging to the super-family of guanidine triphosphatase, often stimulated by type I interferon (IFN) and mediates antiviral responses to restrict the replication of numerous viral genes in fishes. In teleosts, Mx proteins display diverse and complicated antiviral activity in different species. The present investigation seeks to characterize the Mx gene from Labeo catla upon induction by double-stranded (ds) RNA, polyinosinic-polycytidylic acid, (poly I: C). Molecular modeling and all-atoms molecular dynamics (MD) simulations were employed to understand the architecture of the GTPase domain and its plausible mode of GTP recognition in Mx protein. The full-length L. catla Mx (LcMx) gene sequence (1821 bp nucleotides) encodes an open reading frame of 606 amino acids. Domain search indicated conserved tripartite domain architecture of LcMx and forms a major cluster with the Mx from other teleosts. The positively charged Arginine and polar Glutamine residues from helix 3 and 4 of stalk region LcMx aid in homo-oligomerization. MD simulation portrayed the role of conserved critical residues aid in GTP recognition by the GTPase domain which perfectly corroborates with experimental findings and prior MD studies. After injection of poly I:C, the temporal mRNA profile showed that LcMx expression was significantly elevated in the spleen, brain, kidney, liver, muscle, heart, intestine, and gill tissues. Collectively, these results suggest that the elevated expression of the major innate immune defense gene Mx was able to inhibit the poly I: C mediated virulence in fish.Communicated by Ramaswamy H. Sarma.

Toxoplasma gondii aspartic protease 5: structural basis of substrate binding and inhibition mechanism

Toxoplasma gondii, a worldwide prevalent parasite is responsible for causing toxoplasmosis in almost all warm-blooded animals, including humans. Golgi-resident T. gondii aspartic protease 5 (TgASP5) plays an essential role in the maturation and export of the effector proteins those modulate the host immune system to establish a successful infection. Hence, inhibiting this enzyme can be a possible therapeutic strategy against toxoplasmosis. This is the first report of the detailed structural investigations of the TgASP5 mature enzyme using molecular modeling and an all-atom simulation approach which provide in-depth knowledge of the active site architecture of TgASP5. The analysis of the binding mode of the TEXEL (Toxoplasma EXport Element) substrate to TgASP5 highlighted the importance of the active site residues. Ser505, Ala776 and Tyr689 in the S2 binding pocket are responsible for the specificity towards Arg at the P2 position of TEXEL substrate. The molecular basis of inhibition by the only known inhibitor RRLStatine has been identified, and our results show that it blocks the active site by forming a hydrogen bond with a catalytic aspartate. Besides that, known aspartic protease inhibitors were screened against TgASP5 using docking, MD simulations and MM-PBSA binding energy calculations. The top-ranked inhibitors (SC6, ZY1, QBH) showed higher binding energy than RRLStatine. Understanding the structural basis of substrate recognition and the binding mode of these inhibitors will help to develop potent mechanistic inhibitors against TgASP5. This study will also provide insights into the structural features of pepsin-like aspartic proteases from other apicomplexan parasites for developing antiparasitic agents.

Interaction of the nanobio-based reagent with sodium fluorescein and lipids via bioinformatics for forensic fingerprint visualisations

Being commonly found at crime scenes, fingerprints are crucial for human identification, attributable to their uniqueness, persistence and systematic classification of ridge patterns. In addition to latent fingerprints being invisible to the naked eye, the escalating trends of disposing forensic evidence bearing such prints in watery bodies would further complicate criminal investigations. Taking into account the toxicity of small particle reagent (SPR) commonly used in visualising latent fingerprints on wet and non-porous objects, a greener alternative using the nanobio-based reagent (NBR) has been suggested. However, NBR only applies to white and/or relatively light-coloured objects. Thus, conjugation of sodium fluorescein dye with NBR (f-NBR) may be beneficial for increasing the contrast of fingerprint on multi-colored objects. Hence, this study was aimed at investigating the possibility of such conjugation (i.e., f-NBR) as well as proposing suitable interactions between the f-NBR and lipid constituents of fingerprints (tetra-, hexa- and octadecanoic acids) via molecular docking and molecular dynamics simulations. The binding energies between CRL with its ligands were observed at -8.1, -5.0, -4.9 and -3.6 kcal/mole for sodium fluorescein, tetra-, hexa- and octadecanoic acids, respectively. Besides, the formations of hydrogen bonds observed in all complexes (ranged between 2.6 and 3.4 Å), further supported by the stabilized root mean square deviation (RMSDs) plots in MD simulations. In short, the conjugation of f-NBR was computationally feasible, and thereby merits further investigations in the laboratory.Communicated by Ramaswamy H. Sarma.

Structural modelling and dynamics of full-length of TLR10 sheds light on possible modes of dimerization, ligand binding and mechanism of action

Toll like receptors (TLRs) play a pivotal role in innate and adaptive immunity. There are 10 TLRs in the human genome, of which TLR10 is the least characterized. Genetic polymorphism of TLR10 has been shown to be associated with multiple diseases including tuberculosis and rheumatoid arthritis. TLR10 consists of an extracellular domain (ECD), a single-pass transmembrane (TM) helix and intracellular TIR (Toll/Interleukin-1 receptor) domain. ECD is employed for ligand recognition and the intracellular domain interacts with other TIR domain-containing adapter proteins for signal transduction. Experimental structure of ECD or TM domain is not available for TLR10. In this study, we have modelled multiple forms of TLR10-ECD dimers, such as closed and open forms, starting from available structures of homologues. Subsequently, multiple full-length TLR10 homodimer models were generated by utilizing homology modelling and protein-protein docking. The dynamics of these models in membrane-aqueous environment revealed the global motion of ECD and TIR domain towards membrane bilayer. The TIR domain residues exhibited high root mean square fluctuation compared to ECD. The 'closed form' model was observed to be energetically more favorable than 'open form' model. The evaluation of persistent interchain interactions, along with their conservation score, unveiled critical residues for each model. Further, the binding of dsRNA to TLR10 was modelled by defined and blind docking approaches. Differential binding of dsRNA to the protomers of TLR10 was observed upon simulation that could provide clues on ligand disassociation. Dynamic network analysis revealed that the 'open form' model can be the functional form while 'closed form' model can be the apo form of TLR10.

Attenuated Streptococcus agalactiae WC1535 ∆Sia perturbs the gut microbiota of Oreochromis niloticus, massively colonizes the intestine, and induces intestinal mucosal immunity after intraperitoneal inoculation

We previously developed and assessed the effectiveness of the attenuated Streptococcus agalactiae (Group B Streptococcus, GBS) strain WC1535 ∆Sia (with neuA-D gene cluster deletion) vaccine in tilapia (Oreochromis niloticus). In this study, we characterized the bacterial communities of the tilapia intestines by 16S rRNA high-throughput sequencing and assessed the serum antibody response, expression of immune-related genes, and histological changes following formalin-killed GBS vaccine (FKV) and the live attenuated vaccine ∆Sia (LAV). Results showed that FKV and LAV induced robust systemic and intestinal mucosal immune responses in tilapia without causing obvious pathological changes in the hindgut, spleen, and head kidney but exerted different effects on intestinal bacterial communities. The richness or diversity of the intestinal bacterial community of FKV tilapia showed no significant changes compared with that of the control fish (p &gt; 0.05) at either day 21 post-initial vaccination (21 dpiv) or day 35 (day 14 after the second immunization) (35 dpiv). The community composition of FKV tilapia and controls was significantly similar, although the relative abundance of some genera was significantly altered. Relative to control fish, the gut ecosystem of LAV tilapia was significantly disturbed with a substantial increase in community diversity at 21 dpiv (p &lt; 0.05) and a significant decrease at 35 dpiv in fish with high serum antibody response (ΔSia35H) (p &lt; 0.05). However, there was no significant difference between ΔSia35H and ΔSia35L (low serum antibody response) fish (p &gt; 0.05). Moreover, the community composition of LAV tilapia at 21 dpiv or 35 dpiv was considerably different from that of the controls. Particularly, GBS ∆Sia was found to be abundant in the intestine at 21 and 35 dpiv. This result suggested that the parenteral administration of the LAV (∆Sia) may also have the effect of oral vaccination in addition to the immune effect of injection vaccination. In addition, a significant correlation was found between the expression of immune-related genes and certain bacterial species in the intestinal mucosal flora. Our findings will contribute to a better understanding of the effects of inactivated and attenuated vaccines on gut microbiota and their relationship with the immune response.

Structural insights into the RNA interaction with Yam bean Mosaic virus (coat protein) from Pachyrhizus erosus using bioinformatics approach

Plants are constantly threatened by a virus infection, i.e., Potyviruses, the second largest genus of plant viruses which results in several million-dollar losses in various essential crops globally. Yam bean (Pachyrhizus erosus) is considered to be one of the essential tuberous legume crops holding a great potential source of starch. Yam Bean Mosaic Virus (YBMV) of Potyvirus group belonging to the family potyviridae affects Yam bean and several angiosperms both in the tropical and sub-tropical regions causing large economical losses in crops. In this study, we attempted to understand the sequence-structure relationship and mode of RNA binding mechanism in YBMV CP using in silico integrative modeling and all-atoms molecular dynamics (MD) simulations. The assembly of coat protein (CP) subunits from YBMV and the plausible mode of RNA binding were compared with the experimental structure of CP from Watermelon mosaic virus potyvirus (5ODV). The transmembrane helix region is present in the YBMV CP sequence ranging from 76 to 91 amino acids. Like the close structural-homolog, 24 CPs monomeric sub-units formed YBMV a conserved fold. Our computational study showed that ARG124, ARG155, and TYR151 orient towards the inner side of the virion, while, THR122, GLN125, SER92, ASP94 reside towards the outer side of the virion. Despite sharing very low sequence similarity with CPs from other plant viruses, the strongly conserved residues Ser, Arg, and Asp within the RNA binding pocket of YBMV CP indicate the presence of a highly conserved RNA binding site in CPs from different families. Using several bioinformatics tools and comprehensive analysis from MD simulation, our study has provided novel insights into the RNA binding mechanism in YBMV CP. Thus, we anticipate that our findings from this study will be useful for the development of new therapeutic agents against the pathogen, paving the way for researchers to better control this destructive plant virus.

Structure-based 3D-Pharmacophore modeling to discover novel interleukin 6 inhibitors: An in silico screening, molecular dynamics simulations and binding free energy calculations

Interleukin 6 (IL-6) is a cytokine with various biological functions in immune regulation, hematopoiesis, and inflammation. Elevated IL-6 levels have been identified in several severe disorders such as sepsis, acute respiratory distress syndrome (ARDS), and most recently, COVID-19. The biological activity of IL-6 relies on interactions with its specific receptor, IL-6Rα, including the membrane-bound IL-6 receptor (mIL-6R) and the soluble IL-6 receptor (sIL-6R). Thus, inhibition of the interaction between these two proteins would be a potential treatment for IL-6 related diseases. To date, no orally available small-molecule drug has been approved. This study focuses on finding potential small molecules that can inhibit protein-protein interactions between IL-6 and its receptor IL-6Rα using its crystal structure (PDB ID: 5FUC). First, two pharmacophore models were constructed based on the interactions between key residues of IL-6 (Phe74, Phe78, Leu178, Arg179, Arg182) and IL-6Rα (Phe229, Tyr230, Glu277, Glu278, Phe279). A database of approximately 22 million compounds was screened using 3D-pharmacophore models, molecular docking models, and ADMET properties. By analyzing the interactive capability of successfully docked compounds with important amino acids, 12 potential ligands were selected for further analysis via molecular dynamics simulations. Based on the stability of the complexes, the high interactions rate of each ligand with the key residues of IL-6/IL-6Rα, and the low binding free energy calculation, two compounds ZINC83804241 and ZINC02997430, were identified as the most potential IL-6 inhibitor candidates. These results will pave the way for the design and optimization of more specific compounds to combat cytokine storm in severe coronavirus patients.

Evaluation and Designing of Epitopic-Peptide Vaccine Against Bunyamwera orthobunyavirus Using M-Polyprotein Target Sequences

Bunyamwera orthobunyavirus and its serogroup can cause several diseases in humans, cattle, ruminants, and birds. The viral M-polyprotein helps the virus to enter the host body. Therefore, this protein might serve as a potential vaccine target against Bunyamwera orthobunyavirus. The present study applied the immunoinformatics technique to design an epitopic vaccine component that could protect against Bunyamwera infection. Phylogenetic analysis revealed the presence of conserved patterns of M-polyprotein within the viral serogroup. Three epitopes common for both B-cell and T-cell were identified, i.e., YQPTELTRS, YKAHDKEET, and ILGTGTPKF merged with a specific linker peptide to construct an active vaccine component. The low atomic contact energy value of docking complex between human TLR4 (TLR4/MD2 complex) and vaccine construct confirms the elevated protein–protein binding interaction. Molecular dynamic simulation and normal mode analysis illustrate the docking complex’s stability, especially by the higher Eigenvalue. In silico cloning of the vaccine construct was applied to amplify the desired vaccine component. Structural allocation of both the vaccine and epitopes also show the efficacy of the developed vaccine. Hence, the computational research design outcomes support that the peptide-based vaccine construction is a crucial drive target to limit the infection of Bunyamwera orthobunyavirus to an extent.

Pattern recognition receptors in health and diseases

Pattern recognition receptors (PRRs) are a class of receptors that can directly recognize the specific molecular structures on the surface of pathogens, apoptotic host cells, and damaged senescent cells. PRRs bridge nonspecific immunity and specific immunity. Through the recognition and binding of ligands, PRRs can produce nonspecific anti-infection, antitumor, and other immunoprotective effects. Most PRRs in the innate immune system of vertebrates can be classified into the following five types based on protein domain homology: Toll-like receptors (TLRs), nucleotide oligomerization domain (NOD)-like receptors (NLRs), retinoic acid-inducible gene-I (RIG-I)-like receptors (RLRs), C-type lectin receptors (CLRs), and absent in melanoma-2 (AIM2)-like receptors (ALRs). PRRs are basically composed of ligand recognition domains, intermediate domains, and effector domains. PRRs recognize and bind their respective ligands and recruit adaptor molecules with the same structure through their effector domains, initiating downstream signaling pathways to exert effects. In recent years, the increased researches on the recognition and binding of PRRs and their ligands have greatly promoted the understanding of different PRRs signaling pathways and provided ideas for the treatment of immune-related diseases and even tumors. This review describes in detail the history, the structural characteristics, ligand recognition mechanism, the signaling pathway, the related disease, new drugs in clinical trials and clinical therapy of different types of PRRs, and discusses the significance of the research on pattern recognition mechanism for the treatment of PRR-related diseases.