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HAMdb: a database of human autophagy modulators with specific pathway and disease information
Wang, Ning-Ning1; Dong, Jie1,2; Zhang, Lin2; Ouyang, Defang3; Cheng, Yan1; Chen, Alex F.4; Lu, Ai-Ping5; Cao, Dong-Sheng1,4,5

Autophagy is an important homeostatic cellular recycling mechanism responsible for degrading unnecessary or dysfunctional cellular organelles and proteins in all living cells. In addition to its vital homeostatic role, this degradation pathway also involves in various human disorders, including metabolic conditions, neurodegenerative diseases, cancers and infectious diseases. Therefore, the comprehensive understanding of autophagy process, autophagy-related modulators and corresponding pathway and disease information will be of great help for identifying the new autophagy modulators, potential drug candidates, new diagnostic and therapeutic targets. In recent years, some autophagy databases providing structural and functional information were developed, but the specific databases covering autophagy modulator (proteins, chemicals and microRNAs)-related target, pathway and disease information do not exist. Hence, we developed an online resource, Human Autophagy Modulator Database (HAMdb,, to provide researchers related pathway and disease information as many as possible. HAMdb contains 796 proteins, 841 chemicals and 132 microRNAs. Their specific effects on autophagy, physicochemical information, biological information and disease information were manually collected and compiled. Additionally, lots of external links were available for more information covering extensive biomedical knowledge. HAMdb provides a user-friendly interface to query, search, browse autophagy modulators and their comprehensive related information. HAMdb will help researchers understand the whole autophagy process and provide detailed information about related diseases. Furthermore, it can give hints for the identification of new diagnostic and therapeutic targets and the discovery of new autophagy modulators. In a word, we hope that HAMdb has the potential to promote the autophagy research in pharmacological and pathophysiological area.

KeywordAutophagy Autophagy Modulator Database Disease Pathophysiological Pathway
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Indexed BySCI
WOS Research AreaChemistry ; Computer Science
WOS SubjectChemistry, Multidisciplinary ; Computer Science, Information Systems ; Computer Science, Interdisciplinary Applications
WOS IDWOS:000440370600001
The Source to ArticleWOS
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Cited Times [WOS]:3   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionInstitute of Chinese Medical Sciences
Corresponding AuthorCao, Dong-Sheng
Affiliation1.Xiangya School of Pharmaceutical Sciences, Central South University, No.172, Tongzipo Road, Yuelu District, Changsha, People’s Republic of China
2.Hunan Key Laboratory of Grain‑Oil Deep Process and Quality Control, Hunan Key Laboratory of Processed Food for Special Medical Purpose, National Engineering Laboratory for Deep Processing of Rice and Byproducts, Central South University of Forestry and Technology, Changsha, People’s Republic of China.
3.State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences (ICMS), University of Macau, Macau, People’s Republic of China.
4.Center for Vascular Disease and Translational Medicine, The Third Xiangya Hospital of Central South University, Changsha, People’s Republic of China.
5.School of Chinese Medicine, Hong Kong Baptist University, Hong Kong, SAR, People’s Republic of China.
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GB/T 7714
Wang, Ning-Ning,Dong, Jie,Zhang, Lin,et al. HAMdb: a database of human autophagy modulators with specific pathway and disease information[J]. JOURNAL OF CHEMINFORMATICS,2018,10.
APA Wang, Ning-Ning.,Dong, Jie.,Zhang, Lin.,Ouyang, Defang.,Cheng, Yan.,...&Cao, Dong-Sheng.(2018).HAMdb: a database of human autophagy modulators with specific pathway and disease information.JOURNAL OF CHEMINFORMATICS,10.
MLA Wang, Ning-Ning,et al."HAMdb: a database of human autophagy modulators with specific pathway and disease information".JOURNAL OF CHEMINFORMATICS 10(2018).
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