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Zhao Z, Yue J, Ji X, Nian M, Kang K, Qiao H, Zheng X. Research progress in biological activities of succinimide derivatives. Bioorg Chem 2020; 108:104557. [PMID: 33376010 DOI: 10.1016/j.bioorg.2020.104557] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Revised: 12/03/2020] [Accepted: 12/10/2020] [Indexed: 12/11/2022]
Abstract
Succinimides are well recognized heterocyclic compounds in drug discovery which produce diverse therapeutically related applications in pharmacological practices. Researches in medicinal chemistry field have isolated and synthesized succinimide derivatives with multiple medicinal properties including anticonvulsant, anti-inflammatory, antitumor and antimicrobial agents, 5-HT receptor ligands and enzyme inhibitors. Simultaneously, SAR (Structure-Activity Relationship) analysis has been gradually possessed, along with a great deal of derivatives have been derived for potential targets. In this article, we comprehensively summarize the biological activities and SAR for succinimide derivatives, along with the featuring bioactive molecules reported in patents, wishing to provide an overall retrospect and prospect on the succinimide analogues.
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Affiliation(s)
- Zefeng Zhao
- College of Acupuncture & Massage, Shaanxi University of Chinese Medicine, Xixian New Area, Shaanxi Province 712046, PR China; Shaanxi Key Laboratory of Acupuncture & Medicine, Xixian New Area, Shaanxi Province 712046, PR China; School of Pharmacy, Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, Biomedicine Key Laboratory of Shaanxi Province, Northwest University, 229 Taibai Road, Xi'an 710069, PR China
| | - Jiangxin Yue
- Shaanxi Key Laboratory of Acupuncture & Medicine, Xixian New Area, Shaanxi Province 712046, PR China
| | - Xiaotong Ji
- Shaanxi Key Laboratory of Acupuncture & Medicine, Xixian New Area, Shaanxi Province 712046, PR China
| | - Meng Nian
- Shaanxi Key Laboratory of Acupuncture & Medicine, Xixian New Area, Shaanxi Province 712046, PR China
| | - Kaiwen Kang
- Shaanxi Key Laboratory of Acupuncture & Medicine, Xixian New Area, Shaanxi Province 712046, PR China
| | - Haifa Qiao
- College of Acupuncture & Massage, Shaanxi University of Chinese Medicine, Xixian New Area, Shaanxi Province 712046, PR China; Shaanxi Key Laboratory of Acupuncture & Medicine, Xixian New Area, Shaanxi Province 712046, PR China.
| | - Xiaohui Zheng
- School of Pharmacy, Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, Biomedicine Key Laboratory of Shaanxi Province, Northwest University, 229 Taibai Road, Xi'an 710069, PR China
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Wenzel J, Matter H, Schmidt F. Predictive Multitask Deep Neural Network Models for ADME-Tox Properties: Learning from Large Data Sets. J Chem Inf Model 2019; 59:1253-1268. [DOI: 10.1021/acs.jcim.8b00785] [Citation(s) in RCA: 96] [Impact Index Per Article: 19.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
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