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

المؤلفون المشاركون

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

المصدر

Computational and Mathematical Methods in Medicine

العدد

المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-12، 12ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2020-03-16

دولة النشر

مصر

عدد الصفحات

12

التخصصات الرئيسية

الطب البشري

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1139602