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For: Concu R, González-Durruthy M, Cordeiro MNDS. Developing a Multi-target Model to Predict the Activity of Monoamine Oxidase A and B Drugs. Curr Top Med Chem 2021;20:1593-1600. [PMID: 32493193 DOI: 10.2174/1568026620666200603121224] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Revised: 11/19/2019] [Accepted: 11/28/2019] [Indexed: 12/21/2022]
Number Cited by Other Article(s)
1
Geng C, Wang Z, Tang Y. Machine learning in Alzheimer's disease drug discovery and target identification. Ageing Res Rev 2024;93:102172. [PMID: 38104638 DOI: 10.1016/j.arr.2023.102172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 11/28/2023] [Accepted: 12/13/2023] [Indexed: 12/19/2023]
2
Halder AK, Mitra S, Cordeiro MNDS. Designing multi-target drugs for the treatment of major depressive disorder. Expert Opin Drug Discov 2023;18:643-658. [PMID: 37183604 DOI: 10.1080/17460441.2023.2214361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/16/2023]
3
MOZART, a QSAR Multi-Target Web-Based Tool to Predict Multiple Drug-Enzyme Interactions. Molecules 2023;28:molecules28031182. [PMID: 36770857 PMCID: PMC9921108 DOI: 10.3390/molecules28031182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 01/09/2023] [Accepted: 01/16/2023] [Indexed: 01/27/2023]  Open
4
Rai SN, Singh P, Varshney R, Chaturvedi VK, Vamanu E, Singh MP, Singh BK. Promising drug targets and associated therapeutic interventions in Parkinson's disease. Neural Regen Res 2021;16:1730-1739. [PMID: 33510062 PMCID: PMC8328771 DOI: 10.4103/1673-5374.306066] [Citation(s) in RCA: 70] [Impact Index Per Article: 23.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Revised: 10/26/2020] [Accepted: 12/17/2020] [Indexed: 12/11/2022]  Open
5
Vatansever S, Schlessinger A, Wacker D, Kaniskan HÜ, Jin J, Zhou M, Zhang B. Artificial intelligence and machine learning-aided drug discovery in central nervous system diseases: State-of-the-arts and future directions. Med Res Rev 2021;41:1427-1473. [PMID: 33295676 PMCID: PMC8043990 DOI: 10.1002/med.21764] [Citation(s) in RCA: 125] [Impact Index Per Article: 41.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Revised: 10/30/2020] [Accepted: 11/20/2020] [Indexed: 01/11/2023]
6
Concu R. New Computational Approaches Aimed at the Prediction of More Selective and Active Drugs. Curr Top Med Chem 2020;20:1581. [DOI: 10.2174/156802662018200630150100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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