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Kini, S. G.

Publications and source records attributed to Kini, S. G..

2 recordsLinked to original sources

Identification of Potential DNA Gyrase Inhibitors: Virtual Screening, Extra-Precision Docking and Molecular Dynamics Simulation Study

DNA gyrase brings negative supercoils into DNA and loosens up certain positive supercoils that collect during replication and transcription and is a notable antibacterial target. To fight against the menace of antibiotic-resistant bacterial infections, we have employed various computational tools like high throughput virtual screening (HTVS), standard precision (SP), extra precision (XP), and molecular dynamics (MD) simulation studies to identify some potential DNA gyrase inhibitors. A focused library of 5968 anti-bacterial compounds was screened using the HTVS docking protocol of the glide module of Maestro. The top 200 docked compounds were further filtered using SP and XP docking protocols and their free binding energies were calculated using MM-GBSA studies. Binding and stability of the top two compounds which showed better docking score than the co-crystallized ligand (clorobiocin) of DNA gyrase (PDB ID: 1KZN) was further probed by MD simulation of 100 ns using GROMACS. MD simulation study suggested that the compounds AM1 and AM5 form a stable complex with DNA gyrase with a good number of hydrogen bonds. XP docking study showed that interaction with the crucial amino acids for compounds AM1 and AM5 was like the co-crystallized ligand. These compounds were also predicted to be drug-like molecules with good water solubility and excellent absorption profiles. Based on the above studies, herein we report compounds AM1 (1R,3S)-1-(2-((3-(ammoniomethyl)phenyl)amino)-2-oxoethyl)-3-carbamoylpiperidin-1-ium and AM5 (1S,2s,4R)-4-ammonio-6-ethyl-1-methylspiro[chromane-2,4-piperidin]-1-ium as potential DNA gyrase inhibitors which can be further developed as a potential drug against the menace of antibiotic resistance.

bioinformatics↗

Immunoinformatics approach for a novel multi-epitope vaccine construct against spike protein of human coronaviruses

Spike (S) proteins are an attractive target as it mediates the binding of the SARS-CoV-2 to the host through ACE-2 receptors. We hypothesize that the screening of S protein sequences of all the HCoVs would result in the identification of potential multi-epitope vaccine candidates capable of conferring immunity against various HCoVs. In the present study, several machine learning-based in-silico tools were employed to design a broad-spectrum multi-epitope vaccine candidate against S protein of human coronaviruses. To the best of our knowledge, it is one of the first study, where multiple B-cell epitopes and T-cell epitopes (CTL and HTL) were predicted from the S protein sequences of all seven known HCoVs and linked together with an adjuvant to construct a potential broad-spectrum vaccine candidate. Secondary and tertiary structures were predicted, validated and the refined 3D-model was docked with an immune receptor. The vaccine candidate was evaluated for antigenicity, allergenicity, solubility, and its ability to achieve high-level expression in bacterial hosts. Finally, the immune simulation was carried out to evaluate the immune response after three vaccine doses. The designed vaccine is antigenic (with or without the adjuvant), non-allergenic, binds well with TLR-3 receptor and might elicit a diverse and strong immune response.

immunology↗