2022
DOI: 10.1515/psr-2018-0164
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Molecular docking and MD: mimicking the real biological process

Abstract: In the processes of molecular docking and simulation studies; the computational techniques have a vast and significant role in drug discovery process. The rigid view in the binding of both target and ligand is the basis of modeling strategy process. More evolution to such processes with the time has lead in revealing the path of understanding the dynamic nature of binding processes. In this chapter we have focused on molecular docking along with dynamic studies in reference to biological processes.

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Cited by 5 publications
(6 citation statements)
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“…22 Therefore, the molecular docking of Silybin with the target protein was carried out using the Lamarckian Genetic algorithm and Local Search default parameters. 24 Developed ligands displayed significant binding as evident from the Gibbs free energy values having lower RMSD values in comparison to the original conformation. Moreover, IC50 values (i.e.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…22 Therefore, the molecular docking of Silybin with the target protein was carried out using the Lamarckian Genetic algorithm and Local Search default parameters. 24 Developed ligands displayed significant binding as evident from the Gibbs free energy values having lower RMSD values in comparison to the original conformation. Moreover, IC50 values (i.e.…”
Section: Resultsmentioning
confidence: 99%
“…22 Molecular dynamics (MD) simulations are an effective approach in molecular docking for virtual screening of target-ligand binding ability prediction. 23,24 Silybin was molecularly docked with SARS-CoV-2 Omicron spike glycoprotein in the current investigation. The objective of the study was to discover Silybin as a potent natural compound that targets omicron spike protein to hinder its interaction with the cellular receptor of the host.…”
Section: Introductionmentioning
confidence: 96%
“…12 Advancements in the structural study and the development of cutting-edge computer technology with ever-increasing computational power have opened the possibility of performing structure-based computational analysis. 13,14 MD simulations have been a popular method for understanding the dynamics of biomolecules at a molecular level by extensive exploration of phase space. 13 Such studies have boosted knowledge of the molecular mechanism of CRISPR/Cas9 in terms of structures, thermodynamics, and kinetics and have served as an excellent complement to experimental studies.…”
Section: Introductionmentioning
confidence: 99%
“…It has been observed that PTEN emerges as a suppressor of breast cancer growth by down-regulation of PI3K which results in cell death and arrest of the G1 phase of the cell cycle. Protein structure shows a phosphatase domain that contains 1-185 residues and a C2 domain having residues 186-351 both essential for tumor suppressor function (Sharma et al 2022c). The phoshatase domain contains the tyrosine phosphatase signature motif (H123CKAGKGR130), which forms a loop (P-loop) with the active site pocket.…”
Section: Introductionmentioning
confidence: 99%