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

Joint Authors

Shehadi, Ihsan A.
Rashdan, Huda R. M.
Abdelmonsef, Aboubakr H.

Source

Computational and Mathematical Methods in Medicine

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-03-16

Country of Publication

Egypt

No. of Pages

12

Main Subjects

Medicine

Abstract EN

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.

American Psychological Association (APA)

Shehadi, Ihsan A.& Rashdan, Huda R. M.& Abdelmonsef, Aboubakr H.. 2020. Homology Modeling and Virtual Screening Studies of Antigen MLAA-42 Protein: Identification of Novel Drug Candidates against Leukemia—An In Silico Approach. Computational and Mathematical Methods in Medicine،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1139602

Modern Language Association (MLA)

Shehadi, Ihsan A.…[et al.]. Homology Modeling and Virtual Screening Studies of Antigen MLAA-42 Protein: Identification of Novel Drug Candidates against Leukemia—An In Silico Approach. Computational and Mathematical Methods in Medicine No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1139602

American Medical Association (AMA)

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. Computational and Mathematical Methods in Medicine. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1139602

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1139602