Disclosing incoherent sparse and low-rank patterns inside homologous GPCR tasks for better modelling of ligand bioactivities-Reference-Cited by-同舟云学术

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Disclosing incoherent sparse and low-rank patterns inside homologous GPCR tasks for better modelling of ligand bioactivities

Published:2021-12-10 Issue:4 Volume:16 Page:
ISSN:2095-2228
Container-title:Frontiers of Computer Science
language:en
Short-container-title:Front. Comput. Sci.

Author:

Wu Jiansheng,Lan Chuangchuang,Ye Xuelin,Deng Jiale,Huang Wanqing,Yang Xueni,Zhu Yanxiang,Hu Haifeng

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science,Theoretical Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s11704-021-0478-6.pdf

Reference32 articles.

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2. Hauser A S, Attwood M M, Raskandersen M, Schioth H B, Gloriam D E. Trends in GPCR drug discovery: new agents, targets and indications. Nature Reviews Drug Discovery, 2017, 16(12): 829–842

3. Berman H M, Westbrook J, Feng Z, Gilliland G, Bhat T, Weissig H, Shindyalov I N, Bourne P E. The protein data bank. Nucleic Acids Research, 2010, 28: 235–242

4. Chan W K B, Zhang H, Yang J, Brender J R, Hur J, Ozgur A, Zhang Y. GLASS: a comprehensive database for experimentally validated GPCR-ligand associations. Bioinformatics, 2015, 31(18): 3035–3042

5. Blum L C, Reymond J. 970 million druglike small molecules for virtual screening in the chemical universe database GDB-13. Journal of the American Chemical Society, 2009, 131(25): 8732–8733

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