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. 2022 Aug 9:13:956501.
doi: 10.3389/fphar.2022.956501. eCollection 2022.

AMTDB: A comprehensive database of autophagic modulators for anti-tumor drug discovery

Affiliations

AMTDB: A comprehensive database of autophagic modulators for anti-tumor drug discovery

Jiahui Fu et al. Front Pharmacol. .

Abstract

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.

Keywords: AMTDB; anti-tumor drug; autophagic modulator; autophagy; database.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The reviewer XH declared a shared affiliation with the author(s) JF, QS, RW, LZ to the handling editor at the time of review.

Figures

FIGURE 1
FIGURE 1
A logical framework of AMTDB.
FIGURE 2
FIGURE 2
Data visualizations. (A) Stacking bars show the function of autophagy modulators in different tumors, with only the top 15 tumor types listed here; (B) Functional distribution diagram of autophagy regulator; (C) Classification of autophagy modulators in origin attributes; (D) Data distribution of autophagy targets contained in AMTDB.
FIGURE 3
FIGURE 3
Database in web interface. (A) Home page. On this page, users can perform free text retrieval, compound and target information browsing, target prediction, and information submission; (B) Quick search. The web page presents information on the pharmacological mechanisms of compounds. (C) Gene and protein web interface; (D) Browsing interface. Quick access to all compound or gene information. In addition, purpose screening can be performed.
FIGURE 4
FIGURE 4
Web interface. (A) Target prediction; (B) The submit interface.

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References

    1. Aman Y., Schmauck-Medina T., Hansen M., Morimoto R. I., Simon A. K., Bjedov I., et al. (2021). Autophagy in healthy aging and disease. Nat. Aging 1 (8), 634–650. 10.1038/s43587-021-00098-4 - DOI - PMC - PubMed
    1. Avniel-Polak S., Leibowitz G., Doviner V., Gross D. J., Grozinsky-Glasberg S. (2018). Combining chloroquine with RAD001 inhibits tumor growth in a NEN mouse model. Endocr. Relat. Cancer 25 (6), 677–686. 10.1530/ERC-18-0121 - DOI - PubMed
    1. Bajusz D., Rácz A., Héberger K. (2015). Why is Tanimoto index an appropriate choice for fingerprint-based similarity calculations? J. Cheminform. 7, 20. 10.1186/s13321-015-0069-3 - DOI - PMC - PubMed
    1. Cai J., Li R., Xu X., Zhang L., Lian R., Fang L., et al. (2018). CK1α suppresses lung tumour growth by stabilizing PTEN and inducing autophagy. Nat. Cell Biol. 20 (4), 465–478. 10.1038/s41556-018-0065-8 - DOI - PubMed
    1. Chen K., Yang D., Zhao F., Wang S., Ye Y., Sun W., et al. (2020). Autophagy and tumor database: ATdb, a novel database connecting autophagy and tumor. Database. 2020, baaa052. 10.1093/database/baaa052 - DOI - PMC - PubMed

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