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Homology Modeling and Virtual Screening Studies of Antigen MLAA-42 Protein: Identification of Novel Drug Candidates against Leukemia—An In Silico Approach

Monocytic leukemia-associated antigen-42 (MLAA-42) is associated with excessive cell division and progression of leukemia. Thus, human MLAA-42 is considered as a promising target for designing of new lead molecules for leukemia treatment. Herein, the 3D model of the target was generated by homology...

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Autores principales: Shehadi, Ihsan A., Rashdan, Huda R. M., Abdelmonsef, Aboubakr H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7102452/
https://www.ncbi.nlm.nih.gov/pubmed/32256683
http://dx.doi.org/10.1155/2020/8196147
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author Shehadi, Ihsan A.
Rashdan, Huda R. M.
Abdelmonsef, Aboubakr H.
author_facet Shehadi, Ihsan A.
Rashdan, Huda R. M.
Abdelmonsef, Aboubakr H.
author_sort Shehadi, Ihsan A.
collection PubMed
description Monocytic leukemia-associated antigen-42 (MLAA-42) is associated with excessive cell division and progression of leukemia. Thus, human MLAA-42 is considered as a promising target for designing of new lead molecules for leukemia treatment. Herein, the 3D model of the target was generated by homology modeling technique. The model was then evaluated using various cheminformatics servers. Moreover, the virtual screening studies were performed to explore the possible binding patterns of ligand molecules to MLAA's active site pocket. Thirteen ligand molecules from the ChemBank(™) database were identified as they showed good binding affinities, scaffold diversity, and preferential ADME properties which may act as potent drug candidates against leukemia. The study provides the way to identify novel therapeutics with optimal efficacy, targeting MLAA-42.
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spelling pubmed-71024522020-04-02 Homology Modeling and Virtual Screening Studies of Antigen MLAA-42 Protein: Identification of Novel Drug Candidates against Leukemia—An In Silico Approach Shehadi, Ihsan A. Rashdan, Huda R. M. Abdelmonsef, Aboubakr H. Comput Math Methods Med Research Article Monocytic leukemia-associated antigen-42 (MLAA-42) is associated with excessive cell division and progression of leukemia. Thus, human MLAA-42 is considered as a promising target for designing of new lead molecules for leukemia treatment. Herein, the 3D model of the target was generated by homology modeling technique. The model was then evaluated using various cheminformatics servers. Moreover, the virtual screening studies were performed to explore the possible binding patterns of ligand molecules to MLAA's active site pocket. Thirteen ligand molecules from the ChemBank(™) database were identified as they showed good binding affinities, scaffold diversity, and preferential ADME properties which may act as potent drug candidates against leukemia. The study provides the way to identify novel therapeutics with optimal efficacy, targeting MLAA-42. Hindawi 2020-03-16 /pmc/articles/PMC7102452/ /pubmed/32256683 http://dx.doi.org/10.1155/2020/8196147 Text en Copyright © 2020 Ihsan A. Shehadi et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Shehadi, Ihsan A.
Rashdan, Huda R. M.
Abdelmonsef, Aboubakr H.
Homology Modeling and Virtual Screening Studies of Antigen MLAA-42 Protein: Identification of Novel Drug Candidates against Leukemia—An In Silico Approach
title Homology Modeling and Virtual Screening Studies of Antigen MLAA-42 Protein: Identification of Novel Drug Candidates against Leukemia—An In Silico Approach
title_full Homology Modeling and Virtual Screening Studies of Antigen MLAA-42 Protein: Identification of Novel Drug Candidates against Leukemia—An In Silico Approach
title_fullStr Homology Modeling and Virtual Screening Studies of Antigen MLAA-42 Protein: Identification of Novel Drug Candidates against Leukemia—An In Silico Approach
title_full_unstemmed Homology Modeling and Virtual Screening Studies of Antigen MLAA-42 Protein: Identification of Novel Drug Candidates against Leukemia—An In Silico Approach
title_short Homology Modeling and Virtual Screening Studies of Antigen MLAA-42 Protein: Identification of Novel Drug Candidates against Leukemia—An In Silico Approach
title_sort homology modeling and virtual screening studies of antigen mlaa-42 protein: identification of novel drug candidates against leukemia—an in silico approach
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7102452/
https://www.ncbi.nlm.nih.gov/pubmed/32256683
http://dx.doi.org/10.1155/2020/8196147
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