Evidence map›Paper›PMID 39497074›Full record

ArticleBMC bioinformatics2024

GPCR-BSD: a database of binding sites of human G-protein coupled receptors under diverse states.

Fan Liu, Han Zhou, Xiaonong Li, Liangliang Zhou, Chungong Yu, Haicang Zhang, Dongbo Bu, Xinmiao Liang

Abstract read
In one paragraph

Article in BMC bioinformatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Fan LiuUniversity of Chinese Academy of Sciences, Beijing, 101408, China.
Han ZhouUniversity of Chinese Academy of Sciences, Beijing, 101408, China.
Xiaonong LiJiangxi Provincial Key Laboratory for Pharmacodynamic Material Basis of Traditional Chinese Medicine, Ganjiang Chinese Medicine Innovation Center, Nanchang, 330000, Jiangxi, China.
Liangliang ZhouJiangxi Provincial Key Laboratory for Pharmacodynamic Material Basis of Traditional Chinese Medicine, Ganjiang Chinese Medicine Innovation Center, Nanchang, 330000, Jiangxi, China.
Chungong YuUniversity of Chinese Academy of Sciences, Beijing, 101408, China.
Haicang ZhangUniversity of Chinese Academy of Sciences, Beijing, 101408, China.
Dongbo BuUniversity of Chinese Academy of Sciences, Beijing, 101408, China. dbu@ict.ac.cn.
Xinmiao LiangUniversity of Chinese Academy of Sciences, Beijing, 101408, China. liangxm@dicp.ac.cn.

Funding

Innovation Program of Science and Research of DICP, CAS DICP I202232Jiangxi Provincial Natural Science Foundation 20224BAB212028National Natural Science Foundation of China 32271297National Natural Science Foundation of China 32370657
6 · The paper itself

Abstract

G-protein coupled receptors (GPCRs), the largest family of membrane proteins in human body, involve a great variety of biological processes and thus have become highly valuable drug targets. By binding with ligands (e.g., drugs), GPCRs switch between active and inactive conformational states, thereby performing functions such as signal transmission. The changes in binding pockets under different states are important for a better understanding of drug-target interactions. Therefore it is critical, as well as a practical need, to obtain binding sites in human GPCR structures. We report a database (called GPCR-BSD) that collects 127,990 predicted binding sites of 803 GPCRs under active and inactive states (thus 1,606 structures in total). The binding sites were identified from the predicted GPCR structures by executing three geometric-based pocket prediction methods, fpocket, CavityPlus and GHECOM. The server provides query, visualization, and comparison of the predicted binding sites for both GPCR predicted and experimentally determined structures recorded in PDB. We evaluated the identified pockets of 132 experimentally determined human GPCR structures in terms of pocket residue coverage, pocket center distance and redocking accuracy. The evaluation showed that fpocket and CavityPlus methods performed better and successfully predicted orthosteric binding sites in over 60% of the 132 experimentally determined structures. The GPCR Binding Site database is freely accessible at https://gpcrbs.bigdata.jcmsc.cn . This study not only provides a systematic evaluation of the commonly-used fpocket and CavityPlus methods for the first time but also meets the need for binding site information in GPCR studies.

Indexed as

Databases, ProteinReceptors, G-Protein-CoupledBinding SitesHumansLigandsProtein BindingProtein ConformationLigandsReceptors, G-Protein-CoupledBinding siteDatabaseG-protein coupled receptorKey residueState-specific structure

Identifiers

PMID39497074
PMCPMC11533411

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.