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PanGPCR: predictions for multiple targets, repurposing and side effects.

Publication ,  Journal Article
Liu, L-C; Ho, M-Y; Su, B-H; Wang, S-Y; Hsu, M-T; Tseng, YJ
Published in: Bioinformatics (Oxford, England)
May 2021

Drug discovery targeting G protein-coupled receptors (GPCRs), the largest known class of therapeutic targets, is challenging. To facilitate the rapid discovery and development of GPCR drugs, we built a system, PanGPCR, to predict multiple potential GPCR targets and their expression locations in the tissues, side effects and possible repurposing of GPCR drugs. With PanGPCR, the compound of interest is docked to a library of 36 experimentally determined crystal structures comprising of 46 docking sites for human GPCRs, and a ranked list is generated from the docking studies to assess all GPCRs and their binding affinities. Users can determine a given compound's GPCR targets and its repurposing potential accordingly. Moreover, potential side effects collected from the SIDER (Side-Effect Resource) database and mapped to 45 tissues and organs are provided by linking predicted off-targets and their expressed sequence tag profiles. With PanGPCR, multiple targets, repurposing potential and side effects can be determined by simply uploading a small ligand.PanGPCR is freely accessible at https://gpcrpanel.cmdm.tw/index.html.Supplementary data are available at Bioinformatics online.

Duke Scholars

Published In

Bioinformatics (Oxford, England)

DOI

EISSN

1367-4811

ISSN

1367-4803

Publication Date

May 2021

Volume

37

Issue

8

Start / End Page

1184 / 1186

Related Subject Headings

  • Receptors, G-Protein-Coupled
  • Ligands
  • Humans
  • Drug Repositioning
  • Drug Discovery
  • Bioinformatics
  • 49 Mathematical sciences
  • 46 Information and computing sciences
  • 31 Biological sciences
  • 08 Information and Computing Sciences
 

Citation

APA
Chicago
ICMJE
MLA
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Liu, L.-C., Ho, M.-Y., Su, B.-H., Wang, S.-Y., Hsu, M.-T., & Tseng, Y. J. (2021). PanGPCR: predictions for multiple targets, repurposing and side effects. Bioinformatics (Oxford, England), 37(8), 1184–1186. https://doi.org/10.1093/bioinformatics/btaa766
Liu, Lu-Chi, Ming-Yang Ho, Bo-Han Su, San-Yuan Wang, Ming-Tsung Hsu, and Yufeng J. Tseng. “PanGPCR: predictions for multiple targets, repurposing and side effects.Bioinformatics (Oxford, England) 37, no. 8 (May 2021): 1184–86. https://doi.org/10.1093/bioinformatics/btaa766.
Liu L-C, Ho M-Y, Su B-H, Wang S-Y, Hsu M-T, Tseng YJ. PanGPCR: predictions for multiple targets, repurposing and side effects. Bioinformatics (Oxford, England). 2021 May;37(8):1184–6.
Liu, Lu-Chi, et al. “PanGPCR: predictions for multiple targets, repurposing and side effects.Bioinformatics (Oxford, England), vol. 37, no. 8, May 2021, pp. 1184–86. Epmc, doi:10.1093/bioinformatics/btaa766.
Liu L-C, Ho M-Y, Su B-H, Wang S-Y, Hsu M-T, Tseng YJ. PanGPCR: predictions for multiple targets, repurposing and side effects. Bioinformatics (Oxford, England). 2021 May;37(8):1184–1186.

Published In

Bioinformatics (Oxford, England)

DOI

EISSN

1367-4811

ISSN

1367-4803

Publication Date

May 2021

Volume

37

Issue

8

Start / End Page

1184 / 1186

Related Subject Headings

  • Receptors, G-Protein-Coupled
  • Ligands
  • Humans
  • Drug Repositioning
  • Drug Discovery
  • Bioinformatics
  • 49 Mathematical sciences
  • 46 Information and computing sciences
  • 31 Biological sciences
  • 08 Information and Computing Sciences