Evidence map›Paper›PMID 23745168›Full record

ArticleJournal of proteome science and computational biology2012

Characterizing protein domain associations by Small-molecule ligand binding.

Qingliang Li, Tiejun Cheng, Yanli Wang, Stephen H Bryant

Open access · diamondAbstract read
In one paragraph

Article in Journal of proteome science and computational biology, 2012. 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
1.0field-weighted citation impact, top 23% of its field
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, 6 citations in OpenAlex.

  1. Review
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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

4 authors at 1 institution in 1 country.

Qingliang LiNational Center for Biotechnology Information, National Institutes of Health, Bethesda, MD 20894, USA.
Tiejun Cheng
Yanli Wang
Stephen H Bryant
National Institutes of Health · US

Funding

Structural Biology Information ResourcesZIALM000046 · NLM · NATIONAL LIBRARY OF MEDICINE · PI BRYANT, STEPHEN H · 2009 to 2017
$45.4M
Chemical Biology Information ResourcesZIALM100604 · NLM · NATIONAL LIBRARY OF MEDICINE · PI BRYANT, STEPHEN H · 2009 to 2017
$39.6M
Intramural NIH HHS Z99 CL999999Intramural NIH HHS Z99 HL999999Intramural NIH HHS Z99 LM999999Intramural NIH HHS Z99 MH999999
6 · The paper itself

Abstract

backgroundProtein domains are evolutionarily conserved building blocks for protein structure and function, which are conventionally identified based on protein sequence or structure similarity. Small molecule binding domains are of great importance for the recognition of small molecules in biological systems and drug development. Many small molecules, including drugs, have been increasingly identified to bind to multiple targets, leading to promiscuous interactions with protein domains. Thus, a large scale characterization of the protein domains and their associations with respect to small-molecule binding is of particular interest to system biology research, drug target identification, as well as drug repurposing.

methodsWe compiled a collection of 13,822 physical interactions of small molecules and protein domains derived from the Protein Data Bank (PDB) structures. Based on the chemical similarity of these small molecules, we characterized pairwise associations of the protein domains and further investigated their global associations from a network point of view.

resultsWe found that protein domains, despite lack of similarity in sequence and structure, were comprehensively associated through binding the same or similar small-molecule ligands. Moreover, we identified modules in the domain network that consisted of closely related protein domains by sharing similar biochemical mechanisms, being involved in relevant biological pathways, or being regulated by the same cognate cofactors.

conclusionsA novel protein domain relationship was identified in the context of small-molecule binding, which is complementary to those identified by traditional sequence-based or structure-based approaches. The protein domain network constructed in the present study provides a novel perspective for chemogenomic study and network pharmacology, as well as target identification for drug repurposing.

Indexed as

domain networkdrug repurposingdrug target identificationpromiscuous drugProtein domain

Identifiers

PMID23745168
PMCPMC3671605
OpenAlexW2002622959

What OpenQuestion holds

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Registered trials

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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.