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Identification of potential drug target in malarial disease using molecular docking analysis

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...

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Detalles Bibliográficos
Autores principales: Joseph Sahayarayan, Jesudass, Soundar Rajan, Kulanthaivel, Nachiappan, Mutharasappan, Prabhu, Dhamodharan, Guru Raj Rao, Ravi, Jeyakanthan, Jeyaraman, Hossam Mahmoud, Ahmed, Mohammed, Osama B., Morgan, Abubaker M.A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7715035/
https://www.ncbi.nlm.nih.gov/pubmed/33304138
http://dx.doi.org/10.1016/j.sjbs.2020.10.019
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author Joseph Sahayarayan, Jesudass
Soundar Rajan, Kulanthaivel
Nachiappan, Mutharasappan
Prabhu, Dhamodharan
Guru Raj Rao, Ravi
Jeyakanthan, Jeyaraman
Hossam Mahmoud, Ahmed
Mohammed, Osama B.
Morgan, Abubaker M.A.
author_facet Joseph Sahayarayan, Jesudass
Soundar Rajan, Kulanthaivel
Nachiappan, Mutharasappan
Prabhu, Dhamodharan
Guru Raj Rao, Ravi
Jeyakanthan, Jeyaraman
Hossam Mahmoud, Ahmed
Mohammed, Osama B.
Morgan, Abubaker M.A.
author_sort Joseph Sahayarayan, Jesudass
collection PubMed
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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spelling pubmed-77150352020-12-09 Identification of potential drug target in malarial disease using molecular docking analysis Joseph Sahayarayan, Jesudass Soundar Rajan, Kulanthaivel Nachiappan, Mutharasappan Prabhu, Dhamodharan Guru Raj Rao, Ravi Jeyakanthan, Jeyaraman Hossam Mahmoud, Ahmed Mohammed, Osama B. Morgan, Abubaker M.A. Saudi J Biol Sci Original Article 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. Elsevier 2020-12 2020-10-16 /pmc/articles/PMC7715035/ /pubmed/33304138 http://dx.doi.org/10.1016/j.sjbs.2020.10.019 Text en © 2020 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Article
Joseph Sahayarayan, Jesudass
Soundar Rajan, Kulanthaivel
Nachiappan, Mutharasappan
Prabhu, Dhamodharan
Guru Raj Rao, Ravi
Jeyakanthan, Jeyaraman
Hossam Mahmoud, Ahmed
Mohammed, Osama B.
Morgan, Abubaker M.A.
Identification of potential drug target in malarial disease using molecular docking analysis
title Identification of potential drug target in malarial disease using molecular docking analysis
title_full Identification of potential drug target in malarial disease using molecular docking analysis
title_fullStr Identification of potential drug target in malarial disease using molecular docking analysis
title_full_unstemmed Identification of potential drug target in malarial disease using molecular docking analysis
title_short Identification of potential drug target in malarial disease using molecular docking analysis
title_sort identification of potential drug target in malarial disease using molecular docking analysis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7715035/
https://www.ncbi.nlm.nih.gov/pubmed/33304138
http://dx.doi.org/10.1016/j.sjbs.2020.10.019
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