Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

GPCR-IFP: A Web Server for Analyzing G-Protein Coupled Receptor-Ligand Fingerprint Interaction from Experimental Structures

Marc Xu, Yi li, Junlin Dong, View ORCID ProfileShuguang Yuan
doi: https://doi.org/10.1101/2022.03.16.484667
Marc Xu
1AlphaMol Science Ltd, Shenzhen, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Yi li
2Shenzhen Institute of Advanced Technology, Shenzhen, China
3Zhuhai Institute of Advanced Technology, Zhuhai, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Junlin Dong
2Shenzhen Institute of Advanced Technology, Shenzhen, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Shuguang Yuan
1AlphaMol Science Ltd, Shenzhen, China
2Shenzhen Institute of Advanced Technology, Shenzhen, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Shuguang Yuan
  • For correspondence: shuguang.yuan@siat.ac.cn
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Data/Code
  • Preview PDF
Loading

Abstract

G-protein coupled receptors (GPCRs) are interesting targets for a broad range of drugs. The comprehensions of the interaction’s mode between GPCRs and their ligands remains to be resolved. Here, we present GPCR-IFP, a web server which drives to gather experimental information supports a better understanding of ligand-receptor interaction and the chemical space. Despite the vast chemical library used for drug discovery, the structures of ligands for a particular receptor share some common molecular features. Thus, we foraged to collect all experimental structures of GPCRs and analyzed protein-ligand interactions which resulted in important unique patterns for both agonist and antagonist. All those results can be analyzed and visualized in GPCR-IFP, a friendly-used webserver.

Competing Interest Statement

Marc Xu is an employee of AlphaMol Science Ltd. Shuguang Yuan is the cofounder of AlphaMol Science Ltd.

Footnotes

  • http://cadd.siat.ac.cn/gpcr-ifp

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
Back to top
PreviousNext
Posted March 18, 2022.
Download PDF
Data/Code
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
GPCR-IFP: A Web Server for Analyzing G-Protein Coupled Receptor-Ligand Fingerprint Interaction from Experimental Structures
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
GPCR-IFP: A Web Server for Analyzing G-Protein Coupled Receptor-Ligand Fingerprint Interaction from Experimental Structures
Marc Xu, Yi li, Junlin Dong, Shuguang Yuan
bioRxiv 2022.03.16.484667; doi: https://doi.org/10.1101/2022.03.16.484667
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
GPCR-IFP: A Web Server for Analyzing G-Protein Coupled Receptor-Ligand Fingerprint Interaction from Experimental Structures
Marc Xu, Yi li, Junlin Dong, Shuguang Yuan
bioRxiv 2022.03.16.484667; doi: https://doi.org/10.1101/2022.03.16.484667

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Bioinformatics
Subject Areas
All Articles
  • Animal Behavior and Cognition (4383)
  • Biochemistry (9599)
  • Bioengineering (7095)
  • Bioinformatics (24866)
  • Biophysics (12620)
  • Cancer Biology (9958)
  • Cell Biology (14357)
  • Clinical Trials (138)
  • Developmental Biology (7953)
  • Ecology (12109)
  • Epidemiology (2067)
  • Evolutionary Biology (15989)
  • Genetics (10927)
  • Genomics (14743)
  • Immunology (9870)
  • Microbiology (23678)
  • Molecular Biology (9486)
  • Neuroscience (50876)
  • Paleontology (369)
  • Pathology (1540)
  • Pharmacology and Toxicology (2683)
  • Physiology (4017)
  • Plant Biology (8657)
  • Scientific Communication and Education (1510)
  • Synthetic Biology (2397)
  • Systems Biology (6436)
  • Zoology (1346)