Evidence map›Paper›PMID 39582983›Full record

ArticleInternational journal of biochemistry and molecular biology2024

Performance prediction of polypeptide derivatives as efficient potential microbial inhibitors: a computational approach.

Abel Kolawole Oyebamiji, Sunday A Akintelu, Faith Eniola Olujinmi, Lukmon Akanni Jinadu, Oluwakemi Ebenezer, Juliana Oluwasayo Aworinde, Banjo Semire, Jonathan O Babalola

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Article in International journal of biochemistry and molecular biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Abel Kolawole OyebamijiDepartment of Industrial Chemistry, Bowen University PMB 284, Iwo, Osun State, Nigeria.
Sunday A AkinteluDepartment of Industrial Chemistry, University of Ilesa Ilesa, Osun State, Nigeria.
Faith Eniola OlujinmiDepartment of Industrial Chemistry, Bowen University PMB 284, Iwo, Osun State, Nigeria.
Lukmon Akanni JinaduDepartment of Industrial Chemistry, Bowen University PMB 284, Iwo, Osun State, Nigeria.
Oluwakemi EbenezerDepartment of Physics, University of Alberta Edmonton, AB, Canada.
Juliana Oluwasayo AworindeDepartment of Medical Laboratory Science, Lead City University Ibadan, Oyo State, Nigeria.
Banjo SemireDepartment of Pure and Applied Chemistry, Ladoke Akintola University of Technology Ogbomoso, Oyo State, Nigeria.
Jonathan O BabalolaDepartment of Industrial Chemistry, Bowen University PMB 284, Iwo, Osun State, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveLately, various scientists have been paying a lot of consideration to the design of operational antimicrobial agents due to the rise of multiple drug-resistant strains. Therefore, this work is aimed at discovering the biochemical behavior of the analyzed polypeptides in relation to glutamine amidotransferase GatD (pdb id: 5n9m) for gram positive bacteria and beta-lactamase class A (pdb id: 5fqq) for gram negative bacteria. Additionally, this study aims to identify the specific atoms involved in the observed biochemical interactions between the studied complexes using computational methods.

methodsIn this work, five polypeptides were studied using insilico approach via Spartan 14 software, molecular operating environment, ADMETSar, and Gromacs.

resultsThe descriptors obtained revealed the activities of the studied compounds, the molecular interaction between the studied ligands as well as glutamine amidotransferase GatD (pdb id: 5n9m) and beta-lactamase class A (pdb id: 5fqq) which thereby exposed compound 1 and 5 to be the compounds with greatest ability to inhibit the studied targets among other studied compounds.

conclusionOur discoveries may open door for the design of collection of proficient polypeptide-based drug-like compounds as potential anti-microbial agents.

Indexed as

insilicoMDSMicrobespharmacokineticsPolypeptide

Identifiers

PMID39582983
PMCPMC11578866

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