Deep learning model for activity cliffs prediction: a comprehensive approach to protein kinase inhibitors.
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| Title: | Deep learning model for activity cliffs prediction: a comprehensive approach to protein kinase inhibitors. |
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| Authors: | Elaiwat S; Faculty of Architecture and Design, Al-Zaytoonah University of Jordan, Amman, Jordan. S.elaiwat@zuj.edu.jo., Daoud S; Department of Pharmaceutical Chemistry and Pharmacognosy, Faculty of Pharmacy, Applied Science Private University, Amman, Jordan., Jaradat NJ; Department of Applied Pharmaceutical Sciences and Clinical Pharmacy, Faculty of Pharmacy, Isra University, Amman, Jordan., Taha M; Faculty of Pharmacy, University of Jordan, Amman, Jordan. Mutasem@ju.edu.jo. |
| Source: | Journal of computer-aided molecular design [J Comput Aided Mol Des] 2025 Dec 03; Vol. 40 (1), pp. 9. Date of Electronic Publication: 2025 Dec 03. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Country of Publication: Netherlands NLM ID: 8710425 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-4951 (Electronic) Linking ISSN: 0920654X NLM ISO Abbreviation: J Comput Aided Mol Des Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1573-4951 |
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| DOI: | 10.1007/s10822-025-00721-1 |
