Identification of Natural Lead Compounds against Hemagglutinin-Esterase Surface Glycoprotein in Human Coronaviruses Investigated via MD Simulation, Principal Component Analysis, Cross-Correlation, H-Bond Plot and MMGBSA

The genus Fraxinus L. (Oleaceae): A review of botany, traditional and modern applications, phytochemistry, and bioactivity

Fraxinus L., a member of the Oleaceae family with approximately 60 species worldwide, is widely distributed in the warm temperate zone of the northern hemisphere. It is not only used as a folk medicine for treating various illnesses but is also documented in medical books. The traditional Chinese medicine "Qin Pi" originated from this genus and is known for its efficacy in treating conditions such as intestinal inflammation, redness and pain in the eyes, abomination of redness and leucorrhoea, and bacterial infections. This paper aims to fill the gap in the existing literature by providing a comprehensive review and critical analysis of the Fraxinus genus plant. The discussion in this paper covers various aspects of the plant, including its botany, traditional and modern applications, phytochemistry, bioactivity, role in ecosystems, phytogenetic evolution, economic benefits, and future challenges. By synthesizing this information, the review aims to offer valuable insights for the advancement, utilization, and further research of the Fraxinus spp.. Phytochemical studies have identified a total of 281 chemical constituents in Fraxinus spp., including secoiridoids, coumarins, and flavonoids. These Fraxinus spp. plants exhibit a wide range of biological activities, such as anti-inflammatory, antioxidant, and antibacterial properties. Furthermore, this paper delves into potential research directions within the genus and addresses the challenges associated with achieving a comprehensive understanding of Fraxinus spp. This paper provides a comprehensive overview of Fraxinus spp., highlighting their bioactivity mechanism and the opportunity to facilitate the advancement of new pharmaceuticals.

Identification and assessment of hub genes and miRNAs coregulatory associated with immune infiltrations and drug interactions in latent tuberculosis based on MicroarrayData analysis, molecular docking, and dynamic simulation

Tuberculosis (TB) remains a major global health concern, with the transition from latent to active TB still poorly understood. Therefore, enhancing clinical management and prevention strategies for TB is essential. High-throughput sequencing data of genes and miRNAs from individuals at different TB stages were obtained from NCBI. Differential expression analysis was performed using the R package limma, alongside GO and KEGG analyses. The central regulatory network of miRNAs was visualized with Cytoscape, and relevant genes were validated using ROC analysis. The predicted key genes involved in the transition from latent to active TB, including PLEKHG1, CLPB, DOK4, IL1β, and TLR3, are primarily associated with multicellular organism processes, stimulus-response, GPCR ligand binding, and immune functions. Finally, we screened Celastrol and Cefaclor Anhydrous targeting IL1β as potent anti-inflammatory drug to reduce the inflammation due to TB. These findings were further validated with Molecular dynamic simulation MM-GBSA and PCA analysis. Our study advances the understanding of latent tuberculosis and identifies genes and microRNAs as potential biomarkers for diagnosis, monitoring, and treatment, with broader implications for complex disease research.

Unraveling Interleukin-1β inhibition: Computational insights into anti-inflammatory compound selection for inflammatory disorders

The multifaceted impact of IL-1β has been proposed to have a central role in a spectrum of immunological responses spanning physiological reactions to aggressive inflammatory reactions and autoimmune disorders. Once IL-1β binds to its cognate receptor it initiates IL-1R1/TLR4 signaling cascade, leading to transcriptional modifications that sustain the inflammatory response. Extensive structural and functional investigations on IL-1β have yielded various inhibitors aimed at disrupting the formation of ligand receptor complex. Unfortunately, most have proven unsuccessful in clinical trials. Therefore, directing efforts towards IL-1β/IL-1R1 presents a unique opportunity to formulate an alternative therapy for the treatment of inflammatory disorders. In view of this, the present study aimed to identify small molecules obstructing protein-protein interactions (PPIs) to impede heterocomplex formation. In this context, a search query was formulated by integrating a ligand-based pharmacophore mapping alongside a multi-stage molecular docking to assess the potential of the predicted hits in terms of binding modes within the targeted cavity of the IL-1β and the associated binding affinities. Thus, via a stepwise screening process starting from an initial pool of 40,000 compounds, 8 potential hits were identified for detailed atomic studies employing molecular dynamic simulation encompassing a total time frame of 0.9 μs. The investigation in dynamic behavior was followed by the estimation of free energies using molecular mechanics Poisson-Boltzmann surface area (MM/PBSA) calculations. The stability matrices revealed that the chosen virtual hits possess a notable potential to hinder the complex formation between IL-1β/IL-1RI. The average backbone deviations recorded for the conformational ensembles of the ligand free IL-1β/IL-1RI exhibited significant dynamics, featuring the average value of 0.35 nm. Conversely, the identified hits particularly, inhouse-2603 and inhouse-1325 demonstrated a high degree of stability with mean values of 0.32 ± 0.05, 0.31 ± 0.03, respectively. The residue-wise fluctuations were maximum for Compound-1303, with the mean value of 0.31 nm and minimal for Compound-2691 with the mean value 0.21 nm. The MMPBSA revealed the highest binding energy of -89.50 ± 10.63, and -81.32 ± 14.9 kcal/mol, for the IL-1β/IL-1RI complex with compound-2603, and Compound-1325 respectively. The principal component analysis (PCA) in conjunction with free energy landscape (FEL) further shed light on the conformational space in terms of energetic stability. Considering the essential role of IL-1β in mediating several inflammatory cascades, it is proposed that the identified PPI inhibitors since demonstrated stable behavior and promising attributes in regard to inhibitory potential as outlined by mechanistic exploration, may serve as new chemotypes for the future exploration aimed at mitigation inflammatory disorders.

Eco-conscious synthesis of novel 1,2,4-triazolo[1,5-a]pyrimidine derivatives as potent Anti-microbial agent and comparative study of cell viability and cytotoxicity in HEK-293 cell line utilizingIndian gooseberry (Phyllanthus emblica) fruit extract

Antimicrobial resistance (AMR) is a pressing global health challenge that necessitates the search for novel antimicrobial agents and synthetic methodologies. This study investigates the synthesis and antimicrobial efficacy of 25 novel 1,2,4-triazolo[1,5-a]pyrimidine derivatives, catalyzed by Amla (Phyllanthus emblica) fruit juice, which is rich in organic acids and polyphenolic compounds, thus serving as an environmentally sustainable catalyst, in adherence to green chemistry principles. The synthesis is achieved through a one-pot, solvent-free process that yields high quantities of the desired compounds in significantly less time compared to traditional methods. Comprehensive antimicrobial evaluation was conducted against a range of clinically relevant microorganisms, including Chromobacterium violaceum, Klebsiella pneumoniae, Escherichia coli, Staphylococcus aureus, Bacillus subtilis, Candida albicans, Cryptococcus neoformans and Aspergillus niger. Concurrently, cytotoxic assays were performed on HEK-293 cells, to assess safety profiles, revealing that compounds B-1, B-6, B-7, B-14 and B-15 exhibited potent antimicrobial activity while maintaining low cytotoxicity and high cell viability. These findings underscore the therapeutic potential of the synthesized compounds in combatting infectious diseases and addressing the challenges posed by AMR, highlighting the critical importance of dose optimization in therapeutic applications. This study combats contagious diseases, mitigates AMR challenges and contributes significantly to the field of antimicrobial drug discovery, emphasizing the need for sustainable synthetic strategies that align with future pharmaceutical endeavors. Our research not only advances the understanding of these novel compounds but also supports ongoing efforts to develop safe and effective therapies against resistant pathogens.

Phosphorylation at the D56 residue of MtrA in Mycobacterium tuberculosis enhances its DNA binding affinity by modulating inter-domain interaction

The response regulator, MtrA, plays a major role in adaptation to the host environment, cell division, replication, and dormancy activation of Mycobacterium tuberculosis (Mtb). The phosphorylation of the response regulator MtrA alters the downstream activity, typically involving changes in DNA binding activity. However, there is a substantial knowledge gap in understanding the phosphorylation-mediated structural changes in MtrA. Additionally, the active conformation of the protein has yet to be determined. Therefore, in this study, we have investigated the phosphorylation-induced conformational changes of MtrA using all-atom molecular dynamics simulations under various phosphorylation conditions. The results from this study demonstrate that the phosphorylation at D56 (pD56-MtrA) increases the compactness of the MtrA protein by stabilizing the inter-domain interaction between the regulatory domain and DNA binding domain. Notably, the higher occupancy H-bond (over 95 %) between Arg200-Asn100 in case of the pD56-MtrA condition, which is otherwise absent in the non-phosphorylated (uMtrA) condition, suggests the importance of this interaction in the active conformation of the protein. The dynamic cross-correlation analysis reveals that phosphorylation (especially pD56-MtrA) reduces the anti-correlated motions and increases correlated motions between different domains. Moreover, the higher DNA binding affinity of pD56-MtrA compared to uMtrA supported by molecular docking and MD simulation followed by MMPBSA analysis suggests that pD56-MtrA is the possible active conformation of the MtrA protein. Overall, this investigation elucidates the key structural changes in MtrA under different phosphorylated conditions, which might help in designing novel therapeutics against tuberculosis.

Computational exploration and molecular dynamic simulation for the discovery of antiviral agents targeting Newcastle disease virus

Newcastle disease virus (NDV) is a highly infectious viral disease that impacts birds globally, especially domestic poultry. NDV is a type of avian paramyxovirus which poses a major threat to the poultry industry due to its ability to inflict significant economic damage. The membrane protein, Hemagglutinin-Neuraminidase (HN) of NDV is an attractive therapeutic candidate. It contributes to pathogenicity through various functions, such as promoting fusion and preventing viral self-agglutination, which allows for viral spread. In this study, we used pharmacophore modeling to identify natural molecules that can inhibit the HN protein of NDV. Physicochemical characteristics and phylogenetic analysis were determined to elucidate structural information and phylogeny of target protein across different species as well as members of the virus family. For structural analysis, the missing residues of HN target protein were filled and the structure was evaluated by PROCHECK and VERIFY 3D. Moreover, shape and feature-based pharmacophore model was employed to screen natural compounds' library through numerous scoring schemes. Top 48 hits with 0.8860 pharmacophore fit score were subjected towards structure-based molecular docking. Top 9 compounds were observed witihin the range of -8.9 to -7.5 kcal/mol binding score. Five best-fitting compounds in complex with HN receptor were subjected to predict biological activity and further analysis. Top two hits were selected for MD simulations to validate binding modes and structural stability. Finally, upon scrutinization, A1 (ZINC05223166) emerges as potential HN inhibitor to treat NDV, necessitating further validation via clinical trials.

Interactive Structural Analysis of KH3-4 Didomains of IGF2BPs with Preferred RNA Motif Having m6A Through Dynamics Simulation Studies

m6A modification is the most common internal modification of messenger RNA in eukaryotes, and the disorder of m6A can trigger cancer progression. The GGACU is considered the most frequent consensus sequence of target transcripts which have a GGAC m6A core motif. Newly identified m6A 'readers' insulin-like growth factor 2 mRNA-binding proteins modulate gene expression by binding to the m6A binding sites of target mRNAs, thereby affecting various cancer-related processes. The dynamic impact of the methylation at m6A within the GGAC motif on human IGF2BPs has not been investigated at the structural level. In this study, through in silico analysis, we mapped IGF2BPs binding sites for the GGm6AC RNA core motif of target mRNAs. Subsequent molecular dynamics simulation analysis at 400 ns revealed that only the KH4 domain of IGF2BP1, containing the 503GKGG506 motif and its periphery residues, was involved in the interaction with the GGm6AC backbone. Meanwhile, the methyl group of m6A is accommodated by a shallow hydrophobic cradle formed by hydrophobic residues. Interestingly, in IGF2BP2 and IGF2BP3 complexes, the RNA was observed to shift from the KH4 domain to the KH3 domain in the simulation at 400 ns, indicating a distinct dynamic behavior. This suggests a conformational stabilization upon binding, likely essential for the functional interactions involving the KH3-4 domains. These findings highlight the potential of targeting IGF2BPs' interactions with m6A modifications for the development of novel oncological therapies.

Computational investigations of flavonoids as ALDH isoform inhibitors for treatment of cancer

Human aldehyde dehydrogenases (ALDHs) are a group of 19 isoforms often overexpressed in cancer stem cells (CSCs). These enzymes play critical roles in CSC protection, maintenance, cancer progression, therapeutic resistance, and poor prognosis. Thus, targeting ALDH isoforms offers potential for innovative cancer treatments. Flavonoids, known for their ability to affect multiple cancer-related pathways, have shown anticancer activity by downregulating specific ALDH isoforms. This study aimed to evaluate 830 flavonoids from the PubChem database against five ALDH isoforms (ALDH1A1, ALDH1A2, ALDH1A3, ALDH2, ALDH3A1) using computational methods to identify potent inhibitors. Extra precision (XP) Glide docking and MM-GBSA free binding energy calculations identified several flavonoids with high binding affinities. MD simulation highlighted flavonoids 1, 2, 18, 27, and 42 as potential specific inhibitors for each isoform, respectively. Flavonoid 10 showed high binding affinities for ALDH1A2, ALDH1A3, and ALDH3A1, emerging as a potential multi-ALDH inhibitor. ADMET property evaluation indicated that the promising hits have acceptable drug-like profiles, but further optimization is needed to enhance their therapeutic efficacy and reduce toxicity, making them more effective ALDH inhibitors for future cancer treatment.

Exploring the chemical compositions of Fufang Yinhua Jiedu granules based on ultra-high-performance liquid chromatography coupled to quadrupole time-of-flight mass spectrometry combined with multistage intelligent data annotation strategy

Fufang Yinhua Jiedu granules (FYJG) is a Traditional Chinese Medicine (TCM) compound formulae preparation comprising ten herbal drugs, which has been widely used for the treatment of influenza with wind-heat type and upper respiratory tract infections. However, the phytochemical constituents of FYJG have rarely been reported, and its constituent composition still needs to be elucidated. The complexity of the natural ingredients of TCMs and the diversity of preparations are the major obstacles to fully characterizing their constituents. In this study, an innovative and intelligent analysis strategy was built to comprehensively characterize the constituents of FYJG and assign source attribution to all components. Firstly, a simple and highly efficient ultra-high-performance liquid chromatography coupled to quadrupole time-of-flight mass spectrometry (UHPLC-QTOF MSE) method was established to analyze the FYJG and ten single herbs. High-accuracy MS/MS data were acquired under two collision energies using high-definition MSE in the negative and positive modes. Secondly, a multistage intelligent data annotation strategy was developed and used to rapidly screen out and identify the compounds of FYJG, which was integrated with various online software and data processing platforms. The in-house chemical library of 2949 compounds was created and operated in the UNIFI software to enable automatic peak annotation of the MSE data. Then, the acquired MS data were processed by MS-DIAL, and a feature-based molecular networking (FBMN) was constructed on the Global Natural Product Social Molecular Networking (GNPS) to infer potential compositions of FYJG by rapidly classifying and visualizing. It was simultaneously using the MZmine software to recognize the source attribution of ingredients. On this basis, the unique chemical categories and characteristics of herbaceous plant species are utilized further to verify the accuracy of the source attribution of multi-components. This comprehensive analysis successfully identified or tentatively characterized 279 compounds in FYJG, including flavonoids, phenolic acids, coumarins, saponins, alkaloids, lignans, and phenylethanoids. Notably, twelve indole alkaloids and four organic acids from Isatidis Folium were characterized in this formula for the first time. This study demonstrates a potential superiority to identify compounds in complex TCM formulas using high-definition MSE and computer software-assisted structural analysis tools, which can obtain high-quality MS/MS spectra, effectively distinguish isomers, and improve the coverage of trace components. This study elucidates the various components and sources of FYJG and provides a theoretical basis for its further clinical development and application.

A theoretical screening of phytochemical constituents from Millettia brandisiana as inhibitors against acetylcholinesterase

Alzheimer's disease is one of the causes associated with the early stages of dementia. Nowadays, the main treatment available is to inhibit the actions of the acetylcholinesterase (AChE) enzyme, which has been identified as responsible for the disease. In this study, computational methods were used to examine the structure and therapeutic ability of chemical compounds extracted from Millettia brandisiana natural products against AChE. This plant is commonly known as a traditional medicine in Vietnam and Thailand for the treatment of several diseases. Furthermore, machine learning helped us narrow down the choice of 85 substances for further studies by molecular docking and molecular dynamics simulations to gain deeper insights into the interactions between inhibitors and disease proteins. Of the five top-choice substances, γ-dimethylallyloxy-5,7,2,5-tetramethoxyisoflavone emerges as a promising substance due to its large free binding energy to AChE and the high thermodynamic stability of the resulting complex.

In silico design of peptide inhibitors for Dengue virus to treat Dengue virus-associated infections

Dengue virus is a single positive-strand RNA virus that is composed of three structural proteins including capsid, envelope, and precursor membrane while seven non-structural proteins (NS1, NS2A, NS2B, NS3A, NS3B, NS4, and NS5). Dengue is a viral infection caused by the dengue virus (DENV). DENV infections are asymptomatic or produce only mild illness. However, DENV can occasionally cause more severe cases and even death. There is no specific treatment for dengue virus infections. Therapeutic peptides have several important advantages over proteins or antibodies: they are small in size, easy to synthesize, and have the ability to penetrate the cell membranes. They also have high activity, specificity, affinity, and less toxicity. Based on the known peptide inhibitor, the current study designs peptide inhibitors for dengue virus envelope protein using an alanine and residue scanning technique. By replacing I21 with Q21, L14 with H14, and V28 with K28, the binding affinity of the peptide inhibitors was increased. The newly designed peptide inhibitors with single residue mutation improved the binding affinity of the peptide inhibitors. The inhibitory capability of the new promising peptide inhibitors was further confirmed by the utilization of MD simulation and free binding energy calculations. The molecular dynamics simulation demonstrated that the newly engineered peptide inhibitors exhibited greater stability compared to the wild-type peptide inhibitors. According to the binding free energies MM(GB)SA of these developed peptides, the first peptide inhibitor was the most effective against the dengue virus envelope protein. All peptide derivatives had higher binding affinities for the envelope protein and have the potential to treat dengue virus-associated infections. In this study, new peptide inhibitors were developed for the dengue virus envelope protein based on the already reported peptide inhibitor.

Prebiotic levan type fructan from Bacillus subtilis PR-C18 as a potent antibiofilm agent: Structural elucidation and in silico analysis

The global demand for therapeutic prebiotics persuades the quest for novel exopolysaccharides that can retard the growth of pathobionts and healthcare-associated pathogens. In this regard, an exopolysaccharide (3.69 mg/mL) producing strain showing prebiotic and antibiofilm activity was isolated from indigenous pineapple pomace of Tripura and identified as Bacillus subtilis PR-C18. Zymogram analysis revealed EPS PR-C18 was synthesized by levansucrase (∼57 kDa) with a maximal activity of 4.62 U/mg. Chromatography techniques, FTIR, and NMR spectral data revealed the homopolymeric nature of purified EPS with a molecular weight of 3.40 × 104 Da. SEM and rheological study unveiled its microporous structure and shear-thinning effect. Furthermore, EPS PR-C18 showed remarkable emulsification, flocculation, water retention, water solubilization, and antioxidant activity. DSC-TGA data demonstrated its high thermostability and cytotoxicity analysis verified its nontoxic biocompatible nature. In addition, the antibiofilm activity of EPS PR-C18 was validated using molecular docking, molecular simulation, MM-GBSA and PCA studies, which exhibited its strong binding affinity (-20.79 kcal/moL) with PelD, a virulence factor from Pseudomonas aeruginosa. Together, these findings support the future exploitation of EPS PR-C18 as an additive or adjuvant in food and pharmaceutical sectors.

Computational exploration of novel ROCK2 inhibitors for cardiovascular disease management; insights from high-throughput virtual screening, molecular docking, DFT and MD simulation

Cardiovascular disorders are the world's major cause of death nowadays. To treat cardiovascular diseases especially coronary artery diseases and hypertension, researchers found potential ROCK2 (Rho-associated coiled-coil-containing protein kinase 2) target due to its substantial role in NO-cGMP and RhoA/ROCK pathway. Available drugs for ROCK2 are less effective and some of them depict side effects. Therefore, a set of novel compounds were screened that can potentially inhibit the activity of ROCK2 and help to treat cardiovascular diseases by employing In-silico techniques. In this study, we undertook ligand based virtual screening of 50 million compound's library, to that purpose shape and features (contain functional groups) based pharmacophore query was modelled and validated by Area Under Curve graph (AUC). 2000 best hits were screened for Lipinski's rule of 5 compliance. Subsequently, these selected compounds were docked into the binding site of ROCK2 to gain insights into the interactions between hit compounds and the target protein. Based on binding affinity and RMSD scores, a final cohort of 15 compounds were chosen which were further refined by pharmacokinetics, ADMET and bioactivity scores. 2 potential hits were screened using density functional theory, revealing remarkable biological and chemical activity. Potential inhibitors (F847-0007 and 9543495) underwent rigorous examination through MD Simulations and MMGBSA analysis, elucidating their stability and strong binding affinities. Results of current study unveil the potential of identified novel hits as promising lead compounds for ROCK2 associated with cardiovascular diseases. These findings will further investigate via In-vitro and In-vivo studies to develop novel druglike molecules against ROCK2.

Computer-aided identification of dengue virus NS2B/NS3 protease inhibitors: an integrated molecular modelling approach for screening of phytochemicals

Globally, dengue (DENV) fever has appeared as the most widespread vector-borne disease, affecting more than 100 million individuals annually. No approved anti-DENV therapy or preventive vaccine is available yet. DENV NS3 protein is associated with protease activity and is essential for viral replication process within the host cell. NS2B is linked with NS3 protein as a cofactor. Hence, NS3/NS2B is a potential druggable target for developing inhibitors against dengue virus. In the present study, a dataset of Beta vulgaris L.-based natural compounds was developed. Virtual ligand screening of 30 phytochemicals was carried out to find novel inhibitors against the NS2B/NS3 protein. Spatial affinity, drug-likeness, and binding behaviors of selected phytochemicals were analyzed. Post-simulation analysis, including Principal Component Analysis (PCA), MMGBSA, and Co-relation analysis, was also performed to provide deep insight for elucidating protein-ligand complexes. This computer-aided screening scrutinized four potent phytochemicals, including betavulgaroside II, vitexin xyloside, epicatechin, and isovitexin2-O-xyloside inhibitors exhibiting optimal binding with viral NS3/NS2B protein. Our study brings novel scaffolds against DENV NS2B/NS3 of serotype-2 to act as lead molecules for further biological optimization. In future, this study will prompt the exploration and development of adjuvant anti-DENV therapy based on natural compounds.Communicated by Ramaswamy H. Sarma.

Molecular Understanding of ACE-2 and HLA-Conferred Differential Susceptibility to COVID-19: Host-Directed Insights Opening New Windows in COVID-19 Therapeutics

The genetic variants of HLAs (human leukocyte antigens) play a crucial role in the virus–host interaction and pathology of COVID-19. The genetic variants of HLAs not only influence T cell immune responses but also B cell immune responses by presenting a variety of peptide fragments of invading pathogens. Peptide cocktail vaccines produced by using various conserved HLA-A2 epitopes provoke substantial specific CD8+ T cell responses in experimental animals. The HLA profiles vary among individuals and trigger different T cell-mediated immune responses in COVID-19 infections. Those with HLA-C*01 and HLA-B*44 are highly susceptible to the disease. However, HLA-A*02:01, HLA-DR*03:01, and HLA-Cw*15:02 alleles show resistance to SARS infection. Understanding the genetic association of HLA with COVID-19 susceptibility and severity is important because it can help in studying the transmission of COVID-19 and its physiopathogenesis. The HLA-C*01 and B*44 allele pathways can be studied to gain insight into disease transmission and physiopathogenesis. Therefore, integrating HLA testing is suggested in the ongoing pandemic, which will help in the rapid identification of highly susceptible populations worldwide and possibly acclimate vaccine development. Therefore, understanding the correlation between HLA and SARS-CoV-2 is critical in opening new insights into COVID-19 therapeutics, based on previous studies conducted.