Modelling studies reveal the importance of the C-terminal inter motif loop of NSP1 as a promising target site for drug discovery and screening of potential phytochemicals to combat SARS-CoV-2

Association Study Between Kynurenine 3-Monooxygenase (KMO) Gene and Parkinson's Disease Patients

The influence of various risk factors such as aging, intricate cellular molecular processes, and lifestyle factors like smoking, alcohol consumption, caffeine intake, and occupational factors has received increased focus in relation to the risk and development of Parkinson's disease (PD). Limited research has been conducted on the assessment of lifestyle impact on kynurenine 3-monooxygenase (KMO) gene in PD. A total of 164 subjects, including 82 PD cases and 82 healthy individuals, were recruited based on specific inclusion and exclusion criteria. The severity of PD and clinical assessment were evaluated using the Unified Parkinson's Disease Rating Scale (UPDRS) and Hoehn and Yahr (HY) scaling. Sanger sequencing was performed to analyse the KMO gene in the recruited subjects, and case-control studies were conducted. The UPDRS assessment revealed significant impairments in smell, tremors, walking, and posture instability in the late-onset PD cohorts. The HY scaling indicated a higher proportion of late-onset cohorts in stage 2. Moreover, both alcoholic and non-alcoholic groups showed significantly increased levels of 3-HK in late-onset PD. Gene analysis identified missense variants at position g.241593373 T > A (rs752312199) and intronic variants at positions g.241592623A > G (rs640718), g.241592800C > A (rs990388262), g.241592802A > C (rs1350160268), g.241592808 T > C (rs1478255936), and g.241592812G > T (rs948928931). The alterations in the KMO gene were found to influence the levels of kynurenic acid (KYNA) and 3-hydroxykynurenine (3-HK). Genomic analysis revealed a high prevalence of missense mutations in the late-onset PD groups, leading to a decline in 3-HK levels in patients. This leads to the reduction of the progression of disease in late-onset groups which shows that this mutation may lead to the protective effect on the PD subjects. This study suggests the use of KYNA and 3-HK as potential biomarkers in analysing the progression of disease. This study is limited by its small sample size. To overcome this limitation, a larger study involving in greater number of participants is needed to thoroughly investigate the KMO gene and KP metabolites, to enhance our understanding of Parkinson's disease progression, and to enhance diagnostic capabilities.

Mitigating candidiasis with acarbose by targeting Candida albicans α-glucosidase: in-silico, in-vitro and transcriptomic approaches

Biofilm-associated candidiasis poses a significant challenge in clinical settings due to the limited effectiveness of existing antifungal treatments. The challenges include increased pathogen virulence, multi-drug resistance, and inadequate penetration of antimicrobials into biofilm structures. One potential solution to this problem involves the development of novel drugs that can modulate fungal virulence and biofilm formation, which is essential for pathogenesis. Resistance in Candida albicans is initiated by morphological changes from yeast to hyphal form. This transition triggers a series of events such as cell wall elongation, increased adhesion, invasion of host tissues, pathogenicity, biofilm formation, and the initiation of an immune response. The cell wall is a critical interface for interactions with host cells, primarily through various cell wall proteins, particularly mannoproteins. Thus, cell wall proteins and enzymes are considered potential antifungal targets. In this regard, we explored α-glucosidase as our potential target which plays a crucial role in processing mannoproteins. Previous studies have shown that inhibition of α-glucosidase leads to defects in cell wall integrity, reduced adhesion, diminished secretion of hydrolytic enzymes, alterations in immune recognition, and reduced pathogenicity. Since α-glucosidase, primarily converts carbohydrates, our study focuses on FDA-approved carbohydrate mimic drugs (Glycomimetics) with well-documented applications in various biological contexts. Through virtual screening of 114 FDA-approved carbohydrate-based drugs, a pseudo-sugar Acarbose, emerged as a top hit. Acarbose is known for its pharmacological potential in managing type 2 diabetes mellitus by targeting α-glucosidase. Our preliminary investigations indicate that Acarbose effectively inhibits C. albicans biofilm formation, reduces virulence, impairs morphological switching, and hinders the adhesion and invasion of host cells, all at very low concentrations in the nanomolar range. Furthermore, transcriptomic analysis reveals the mechanism of action of Acarbose, highlighting its role in targeting α-glucosidase.

Discovery of potent inhibitors targeting Glutathione S-transferase of Wuchereria bancrofti: a step toward the development of effective anti-filariasis drugs

Lymphatic filariasis (LF) is one of the major health problems for the human kind in developing countries including India. LF is caused by three major nematodes namely Wuchereria bancrofti, Brugia malayi, and Brugia timori. The recent statistics of World Health Organization (WHO) showed that 51 million people were affected and 863 million people from 47 countries around worldwide remain threatened by LF. Among them, 90% of the filarial infection was caused by the nematode W. bancrofti. Approved drugs were available for the treatment of LF but many of them developed drug resistance and no longer effective in all stages of the infection. In the current research work, we explored the Glutathione S-transferase (GST) of W. bancrofti, the key enzyme responsible for detoxification that catalyzes the conjugation of reduced GSH (glutathione) to xenobiotic compounds. Initially, we analyzed the stability of the WbGST through 200 ns MD simulation and further structure-based virtual screening approach was applied by targeting the substrate binding site to identify the potential leads from small molecule collection. The in silico ADMET profiles for the top-ranked hits were predicted and the predicted non-toxic lead molecules showed the highest docking score in the range of - 12.72 kcal/mol to - 11.97 kcal/mol. The cross docking of the identified hits with human GST revealed the potential binding specificity of the hits toward WbGST. Through WbGST-lead complex simulation, the lead molecules were observed to be stable and also intactly bound within the binding site of WbGST. Based on the computational results, the five predicted non-toxic molecules were selected for the in vitro assay. The molecules showed significant percentage of inhibition against the filarial worm Setaria digitata which is the commonly used model organism to evaluate the filarial activity. In addition, the molecules also showed better IC50 than the standard drug ivermectin. The identified lead molecules will lay a significant insight for the development of new drugs with higher specificity and lesser toxicity to control and treat filarial infections.

Discovery of plant-based phytochemical as effective antivirals that target the non-structural protein C of the Nipah virus through computational methods

Nipah Virus (NiV) belongs to the Paramyxoviridae family and was first identified during an outbreak in Malaysia. Some initial symptoms include mild fever, headache and sore throat, which could escalate to respiratory illness and brain inflammation. The mortality rate of NiV infection can range from 40% to 75%, which is quite high. This is mainly due to the lack of efficient drugs and vaccines. In most instances, NiV is transmitted from animals to humans. Non-Structural Proteins (C, V and W) of the Nipah virus impede the host immune response by obstructive the JAK/STAT pathway. However, Non-Structural Proteins - C (NSP-C) plays a vital role in NiV pathogenesis, which includes IFN antagonist activity and viral RNA production. In the present study, the full-length structure of NiV-NSP-C was predicted using computational modelling, and the stability of the structure was analysed using 200 ns molecular dynamic (MD) simulation. Further, the structure-based virtual screening identified five potent phytochemicals (PubChem CID: 9896047, 5885, 117678, 14887603 and 5461026) with better binding affinity against NiV-NSP-C. DFT studies clearly showed that the phytochemicals had higher chemical reactivity, and the complex MD simulation depicted that the identified inhibitors exhibited stable binding with NiV-NSP-C. Furthermore, experimental validation of these identified phytochemicals would likely control the infection of NiV.Communicated by Ramaswamy H. Sarma.

Computational identification and experimental validation of anti-filarial lead molecules targeting metal binding/substrate channel residues of Cu/Zn SOD1 from Wuchereria bancrofti

Lymphatic filariasis (LF) is a neglected mosquito-borne parasitic disease, widely caused by Wuchereria bancrofti (Wb) in tropical and sub-tropical countries. During a blood meal, the filarial nematodes are transmitted to humans by the infected mosquito. To counter attack the invaded nematodes, the human immune system produces reactive oxygen species. However, the anti-oxidant enzymes of nematodes counteract the host oxidative cytotoxicity. Cu/Zn Superoxide dismutase (SOD1), a member of antioxidant enzymes and are widely used by the nematodes to sustain the host oxidative stress across its lifecycle, hence targeting SOD1 to develop suitable drug molecules would help to overcome the problems related to efficacy and activity of drugs upon different stages of nematodes. In order to find the potent inhibitors, a three-dimensional structure of Cu/Zn WbSOD1 was modelled and the structural stability was analysed through simulation studies. The structure-guided virtual screening approach has been used to identify lead molecules from the ChemBridge based on the docking score, ADMET properties and protein-ligand complex stability analysis. The identified compounds were observed to interact with the copper, metal binding residues (His48, His63, His80 and His120) and catalytically important residue Arg146, which play a crucial role in the disproportionation of incoming superoxide radicals of Cu/Zn WbSOD1. Further, in vitro validation of the selected leads in the filarial worm Setaria digitata exhibited higher inhibition and better IC50 compared to the standard drug ivermectin. Thus, the identified leads could potentially inhibit enzyme activity, which could subsequently act as drug candidates to control LF.Communicated by Ramaswamy H. Sarma.

Conformational ensemble of the NSP1 CTD in SARS-CoV-2: Perspectives from the free energy landscape

The nonstructural protein-1 (NSP1) of the severe acute respiratory syndrome-associated coronavirus 2 plays a crucial role in the translational shutdown and immune evasion inside host cells. Despite its known intrinsic disorder, the C-terminal domain (CTD) of NSP1 has been reported to form a double α-helical structure and block the 40S-ribosomal channel for mRNA translation. Experimental studies indicate that NSP1 CTD functions independently from the globular N-terminal region separated with a long linker domain, underscoring the necessity of exploring the standalone conformational ensemble. In this contribution, we utilize exascale computing resources to yield unbiased molecular dynamics simulation of NSP1 CTD in all-atom resolution starting from multiple initial seed structures. A data-driven approach elicits collective variables (CVs) that are significantly superior to conventional descriptors in capturing the conformational heterogeneity. The free energy landscape as a function of the CV space is estimated using the modified expectation maximized molecular dynamics. Originally developed by us for small peptides, here, we establish the efficacy of expectation maximized molecular dynamics in conjunction with data-driven CV space for a more complex and relevant biomolecular system. The results reveal the existence of two disordered metastable populations in the free energy landscape that are separated from the conformation resembling ribosomal subunit bound state by high kinetic barriers. Chemical shift correlation and secondary structure analysis capture significant differences among key structures of the ensemble. Altogether, these insights can underpin drug development studies and mutational experiments that help induce population shifts to alter translational blocking and understand its molecular basis in further detail.

Virtual screening of phytochemicals from Indian medicinal plants against the endonuclease domain of SFTS virus L polymerase

Severe fever with thrombocytopenia syndrome virus (SFTSV) causes a highly infectious disease with reported mortality in the range 2.8% to 47%. The replication and transcription of the SFTSV genome is performed by L polymerase, which has both an RNA dependent RNA polymerase domain and an N-terminal endonuclease (endoN) domain. Due to its crucial role in the cap-snatching mechanism required for initiation of viral RNA transcription, the endoN domain is an ideal antiviral drug target. In this virtual screening study for the identification of potential inhibitors of the endoN domain of SFTSV L polymerase, we have used molecular docking and molecular dynamics (MD) simulation to explore the natural product space of 14 011 phytochemicals from Indian medicinal plants. After generating a heterogeneous ensemble of endoN domain structures reflecting conformational diversity of the corresponding active site using MD simulations, ensemble docking of the phytochemicals was performed against the endoN domain structures. Apart from the ligand binding energy from docking, our virtual screening workflow imposes additional filters such as drug-likeness, non-covalent interactions with key active site residues, toxicity and chemical similarity with other hits, to identify top 5 potential phytochemical inhibitors of endoN domain of SFTSV L polymerase. Further, the stability of the protein–ligand docked complexes for the top 5 potential inhibitors was analyzed using MD simulations. The potential phytochemical inhibitors, predicted in this study using contemporary computational methods, are expected to serve as lead molecules in future experimental studies towards development of antiviral drugs against SFTSV.

Virtual screening of a large phytochemical library from Indian medicinal plants to identify potential endonuclease inhibitors against emerging virus SFTSV.

Potential inhibitors for peroxiredoxin 6 of W. bancrofti: A combined study of modelling, structure-based drug design and MD simulation

Lymphatic filariasis (LF), a mosquito-borne parasitic disease caused by nematode Wuchereria bancrofti in tropical and sub-tropical countries. These nematodes are transferred into the human host when the infected mosquito carrying L3 larvae is released into the bloodstream during the blood ingestion process. The host immune system produces ROS (Reactive Oxygen Species) as a primary defence mechanism to remove the invading filarial worms. However, well-defined antioxidant enzymes of the nematodes scavenge the host-produced ROS to escape from oxidative stress. The enzyme peroxiredoxin 6 (Prx6) belongs to the peroxiredoxin family, catalyses hydrogen peroxide (H₂O₂) into water (H₂O). In order to find the inhibitors that inhibit the activity of peroxiredoxin 6 of W. bancrofti. We performed the homology modelling to predict the WbPrx6 three-dimensional structure using the Schrödinger-Prime and the dynamic stability of the modelled WbPrx6 was analyzed by carrying out the molecular dynamic (MD) simulation for the time scale of 200ns. Further, the structure-based virtual screening shortlisted the hit molecules from the ChemBridge database based on the glide score. The potential lead molecules (ID: 10239274, 11112883, 79879205, 58160895, and 42133744) that have better binding and satisfied the ADMET properties were selected for further complex simulation and DFT calculations. The identified compounds interact with the N-terminal region of the thioredoxin domain, which plays a key role in reducing phospholipase A2 activity. Interestingly, upon binding the lead molecule, the fluctuation of the loop region that connects α-IV with the β-VI plays a vital role in affecting the geometry of the active site, which in turn affects the activity WbPrx6. The outcomes of the present computational studies could help in future drug development and designing of the effective candidate to control Lymphatic filariasis.

Potential drugs against COVID-19 revealed by gene expression profile, molecular docking and molecular dynamic simulation

Aim: SARS-CoV-2, an emerging betacoronavirus, is the causative agent of COVID-19. Currently, there are few specific and selective antiviral drugs for the treatment and vaccines to prevent contagion. However, their long-term effects can be revealed after several years, and new drugs for COVID-19 should continue to be investigated. Materials & methods: In the first step of our study we identified, through a gene expression analysis, several drugs that could act on the biological pathways altered in COVID-19. In the second step, we performed a docking simulation to test the properties of the identified drugs to target SARS-CoV-2. Results: The drugs that showed a higher binding affinity are bardoxolone (-8.78 kcal/mol), irinotecan (-8.40 kcal/mol) and pyrotinib (-8.40 kcal/mol). Conclusion: We suggested some drugs that could be efficient in treating COVID-19.