Machine learning-driven computational drug repurposing to identify new tubulin inhibitors against cancer.

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Title: Machine learning-driven computational drug repurposing to identify new tubulin inhibitors against cancer.
Authors: Neelima N; Institute of Cancer Therapeutics, School of Pharmacy, Optometry and Medical Sciences, University of Bradford, Bradford BD71DP, UK., Elrewey H; Institute of Cancer Therapeutics, School of Pharmacy, Optometry and Medical Sciences, University of Bradford, Bradford BD71DP, UK; Department of Pharmacology and Toxicology, Faculty of Pharmacy, Tobruk University, Tobruk, Libya., Smarakan S; Institute of Cancer Therapeutics, School of Pharmacy, Optometry and Medical Sciences, University of Bradford, Bradford BD71DP, UK., Ruiz A; Institute of Cancer Therapeutics, School of Pharmacy, Optometry and Medical Sciences, University of Bradford, Bradford BD71DP, UK., Wahajuddin M; Institute of Cancer Therapeutics, School of Pharmacy, Optometry and Medical Sciences, University of Bradford, Bradford BD71DP, UK., Joshi G; Institute of Cancer Therapeutics, School of Pharmacy, Optometry and Medical Sciences, University of Bradford, Bradford BD71DP, UK; Department of Pharmaceutical Science, Hemvati Nandan Bahuguna Garhwal (A Central) University, Srinagar, 246174 Dist. Garhwal, Uttarakhand, India., Jha V; Institute of Cancer Therapeutics, School of Pharmacy, Optometry and Medical Sciences, University of Bradford, Bradford BD71DP, UK. Electronic address: v.jha2@bradford.ac.uk.
Source: Bioorganic & medicinal chemistry [Bioorg Med Chem] 2026 May; Vol. 136, pp. 118587. Date of Electronic Publication: 2026 Feb 08.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Science Country of Publication: England NLM ID: 9413298 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1464-3391 (Electronic) Linking ISSN: 09680896 NLM ISO Abbreviation: Bioorg Med Chem Subsets: MEDLINE
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  Data: Machine learning-driven computational drug repurposing to identify new tubulin inhibitors against cancer.
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  Data: <searchLink fieldCode="AU" term="%22Neelima+N%22">Neelima N</searchLink>; Institute of Cancer Therapeutics, School of Pharmacy, Optometry and Medical Sciences, University of Bradford, Bradford BD71DP, UK.<br /><searchLink fieldCode="AU" term="%22Elrewey+H%22">Elrewey H</searchLink>; Institute of Cancer Therapeutics, School of Pharmacy, Optometry and Medical Sciences, University of Bradford, Bradford BD71DP, UK; Department of Pharmacology and Toxicology, Faculty of Pharmacy, Tobruk University, Tobruk, Libya.<br /><searchLink fieldCode="AU" term="%22Smarakan+S%22">Smarakan S</searchLink>; Institute of Cancer Therapeutics, School of Pharmacy, Optometry and Medical Sciences, University of Bradford, Bradford BD71DP, UK.<br /><searchLink fieldCode="AU" term="%22Ruiz+A%22">Ruiz A</searchLink>; Institute of Cancer Therapeutics, School of Pharmacy, Optometry and Medical Sciences, University of Bradford, Bradford BD71DP, UK.<br /><searchLink fieldCode="AU" term="%22Wahajuddin+M%22">Wahajuddin M</searchLink>; Institute of Cancer Therapeutics, School of Pharmacy, Optometry and Medical Sciences, University of Bradford, Bradford BD71DP, UK.<br /><searchLink fieldCode="AU" term="%22Joshi+G%22">Joshi G</searchLink>; Institute of Cancer Therapeutics, School of Pharmacy, Optometry and Medical Sciences, University of Bradford, Bradford BD71DP, UK; Department of Pharmaceutical Science, Hemvati Nandan Bahuguna Garhwal (A Central) University, Srinagar, 246174 Dist. Garhwal, Uttarakhand, India.<br /><searchLink fieldCode="AU" term="%22Jha+V%22">Jha V</searchLink>; Institute of Cancer Therapeutics, School of Pharmacy, Optometry and Medical Sciences, University of Bradford, Bradford BD71DP, UK. Electronic address: v.jha2@bradford.ac.uk.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+Science%22">Elsevier Science </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>9413298 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1464-3391 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209680896%22">09680896 </searchLink><i>NLM ISO Abbreviation: </i>Bioorg Med Chem <i>Subsets: </i>MEDLINE
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        Value: 10.1016/j.bmc.2026.118587
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      – Code: eng
        Text: English
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        StartPage: 118587
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      – TitleFull: Machine learning-driven computational drug repurposing to identify new tubulin inhibitors against cancer.
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            – D: 01
              M: 05
              Text: 2026 May
              Type: published
              Y: 2026
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              Value: 136
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