PanGPCR: predictions for multiple targets, repurposing and side effects

Author:

Liu Lu-Chi1,Ho Ming-Yang2,Su Bo-Han1,Wang San-Yuan3,Hsu Ming-Tsung4,Tseng Yufeng J124ORCID

Affiliation:

1. Department of Computer Science and Information Engineering, National Taiwan University, Taipei 106, Taiwan

2. Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei 106, Taiwan

3. Master Program in Clinical Pharmacogenomics and Pharmacoproteomics, College of Pharmacy, Taipei Medical University, Taipei 106, Taiwan

4. Genome and Systems Biology Degree Program, National Taiwan University, Taipei, 106, Taiwan

Abstract

Abstract Summary 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. Availability and implementation PanGPCR is freely accessible at https://gpcrpanel.cmdm.tw/index.html. Supplementary information Supplementary data are available at Bioinformatics online.

Funder

Ministry of Science and Technology, Taiwan

National Taiwan University, Taiwan

Taiwan Food and Drug Administration

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

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