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Identification of novel inhibitor targeting Fyn kinase using molecular docking analysis.

ABSTRACT: Identification of tyrosine Fyn kinase inhibitor is recognized as an effective and feasible therapeutic measure in reducing consequences of memory loss disorder Alzheimer's. The present investigation has been attempted with an objective to find out a novel potent inhibitor with similar homological structure to Fyn kinase using structure based in silico screening measure. Such derived structure was compared with natural data base pool and were systematically analyzed. Ligand based interaction was also tested and evaluated. We applied a molecular dynamic simulation technique to validate the stability of the identified complexes and to understand the ligand binding mechanism. Results provide information on the characteristics of novel and potent inhibitor for tyrosinase Fyn kinase protein so as to develop an innovative strategy to treat AD.

SUBMITTER: Nedunchezhian D

PROVIDER: S-EPMC6614121 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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Identification of novel inhibitor targeting Fyn kinase using molecular docking analysis.

Nedunchezhian Dharani D Langeswaran Kulanthaivel K Santhoshkumar Sundar S

Bioinformation 20190615 6

Identification of tyrosine Fyn kinase inhibitor is recognized as an effective and feasible therapeutic measure in reducing consequences of memory loss disorder Alzheimer's. The present investigation has been attempted with an objective to find out a novel potent inhibitor with similar homological structure to Fyn kinase using structure based in silico screening measure. Such derived structure was compared with natural data base pool and were systematically analyzed. Ligand based interaction was ...[more]

PMID: 31312079

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Project description:Malaria caused by genus Plasmodium, is a parasite which is the main health issue for humans and about half of the population were suffered. An every year, approximately 1.2-2.7 million people died due to malaria globally. Therefore to prevent the spreading of malaria from the glob novel active drugs with specific activities are necessary. The present study aimed to identify novel drug molecule together with the bioinformatic tools for the development of active malarial drugs. As the search for latest anti malarial compound was developed, this work determined six active blends from various drug databases which possess drug-like characteristics and presents a significant anti malarial actions in in-silico level. Compound ID 300238, 889, 76569, 87324, 45678, and Z185397112are a few of the ligands were got from the Toss lab, Maybridge, Cambridge, Life chem, Bitter, and Examine drug databases and docked against hexokinase 1 protein (PDB: 1CZA) with high throughput practical screening (HTVS) using Glide v6.6. Amid the 6 compounds, compound no: 300238 from Toss lab has the greatest docking score of -9.889 kcal/mol targeting 1CZA protein. The active sites of Hexokinase I of protein were determine by using superimposition of the destination and template structure showed similar structural folds and active sites which were decidedly conserved. The quality of hexokinase I protein was considered to be sterically stable where the protein was prepared by utilizing the software protein preparation execute in the Schrodinger suite. Prepared proteins were evaluated using SAVES and the studies of molecular dynamics of the hexokinase, and the GROMACS were performed for protein-ligand complex. The low HOMO-LUMO energy gaps of the compound verified the greater stability of the molecule. Here, the tested drug candidates have good absorption, distribution, metabolism, and excretion (ADME) properties which were established by using QikProp, version 3.4 of Schrodinger.

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Identification of novel inhibitor targeting Fyn kinase using molecular docking analysis.

Publications

Identification of novel inhibitor targeting Fyn kinase using molecular docking analysis.

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