Fu Jiahui, Wu Lifeng, Hu Gaoyong, Shi Qiqi, Wang Ruodi, Zhu Lingjuan, Yu Haiyang, Fu Leilei
School of Traditional Chinese Materia Medica, Key Laboratory of Structure-Based Drug Design and Discovery, Ministry of Education, Shenyang Pharmaceutical University, Shenyang, China.
Sichuan Engineering Research Center for Biomimetic Synthesis of Natural Drugs, School of Life Science and Engineering, Southwest Jiaotong University, Chengdu, China.
Front Pharmacol. 2022 Aug 9;13:956501. doi: 10.3389/fphar.2022.956501. eCollection 2022.
Autophagy, originally described as a mechanism for intracellular waste disposal and recovery, has been becoming a crucial biological process closely related to many types of human tumors, including breast cancer, osteosarcoma, glioma, etc., suggesting that intervention of autophagy is a promising therapeutic strategy for cancer drug development. Therefore, a high-quality database is crucial for unraveling the complicated relationship between autophagy and human cancers, elucidating the crosstalk between the key autophagic pathways, and autophagic modulators with their remarkable antitumor activities. To achieve this goal, a comprehensive database of autophagic modulators (AMTDB) was developed. AMTDB focuses on 153 cancer types, 1,153 autophagic regulators, 860 targets, and 2,046 mechanisms/signaling pathways. In addition, a variety of classification methods, advanced retrieval, and target prediction functions are provided exclusively to cater to the different demands of users. Collectively, AMTDB is expected to serve as a powerful online resource to provide a new clue for the discovery of more candidate cancer drugs.
自噬最初被描述为一种细胞内废物处理和回收的机制，如今已成为与多种人类肿瘤密切相关的关键生物学过程，包括乳腺癌、骨肉瘤、神经胶质瘤等，这表明自噬干预是癌症药物开发中一种有前景的治疗策略。因此，一个高质量的数据库对于阐明自噬与人类癌症之间的复杂关系、阐明关键自噬途径之间的相互作用以及具有显著抗肿瘤活性的自噬调节剂至关重要。为实现这一目标，开发了一个自噬调节剂综合数据库（AMTDB）。AMTDB专注于153种癌症类型、1153种自噬调节因子、860个靶点以及2046种机制/信号通路。此外，还专门提供了多种分类方法、高级检索和靶点预测功能，以满足用户的不同需求。总体而言，AMTDB有望成为一个强大的在线资源，为发现更多候选癌症药物提供新线索。
