Prediction of dual NF-κB/IκB inhibitors using an integrative in-silico approaches.

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Bibliographic Details
Title: Prediction of dual NF-κB/IκB inhibitors using an integrative in-silico approaches.
Authors: Abbasi M; Department of Pharmaceutical Chemistry, School of Pharmacy, Hormozgan University of Medical Sciences, Bandar Abbas, Iran., Mahboubi-Rabbani M; Department of Pharmaceutical Chemistry, School of Pharmacy, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Kashfi K; Department of Molecular, Cellular, and Biomedical Sciences, Sophie Davis School of Biomedical Education, City University of New York School of Medicine, New York, NY, USA., Sadeghi-Aliabadi H; Department of Medicinal Chemistry, Faculty of Pharmacy, Isfahan University of Medical Sciences, Isfahan, Iran.
Source: Journal of biomolecular structure & dynamics [J Biomol Struct Dyn] 2023; Vol. 41 (23), pp. 14164-14178. Date of Electronic Publication: 2023 Feb 15.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Taylor & Francis Country of Publication: England NLM ID: 8404176 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1538-0254 (Electronic) Linking ISSN: 07391102 NLM ISO Abbreviation: J Biomol Struct Dyn Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1538-0254
DOI:10.1080/07391102.2023.2178507