Recursive dynamics of GspE through machine learning enabled identification of inhibitors.

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Bibliographic Details
Title: Recursive dynamics of GspE through machine learning enabled identification of inhibitors.
Authors: Naz A; Computational Biology Lab, National Center for Bioinformatics (NCB), Quaid-i-Azam University, Islamabad 45320, Pakistan. Electronic address: alizanaz014@gmail.com., Gul F; Computational Biology Lab, National Center for Bioinformatics (NCB), Quaid-i-Azam University, Islamabad 45320, Pakistan. Electronic address: fouziagul97@gmail.com., Azam SS; Computational Biology Lab, National Center for Bioinformatics (NCB), Quaid-i-Azam University, Islamabad 45320, Pakistan. Electronic address: syedazam2008@gmail.com.
Source: Computational biology and chemistry [Comput Biol Chem] 2024 Dec; Vol. 113, pp. 108217. Date of Electronic Publication: 2024 Sep 28.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: England NLM ID: 101157394 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1476-928X (Electronic) Linking ISSN: 14769271 NLM ISO Abbreviation: Comput Biol Chem Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1476-928X
DOI:10.1016/j.compbiolchem.2024.108217