Evidence map›Paper›PMID 38979784›Full record

ArticleProtein science : a publication of the Protein Society2024

DrugDomain: The evolutionary context of drugs and small molecules bound to domains.

Kirill E Medvedev, R Dustin Schaeffer, Nick V Grishin

Abstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. DrugDomain: The evolutionary context of drugs and small molecules bound to domains.Protein science : a publication of the Protein Society · 2024
    Article
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

3 authors.

Kirill E MedvedevDepartment of Biophysics, University of Texas Southwestern Medical Center, Dallas, Texas, USA.ORCID 0000-0002-7982-4242
R Dustin SchaefferDepartment of Biophysics, University of Texas Southwestern Medical Center, Dallas, Texas, USA.ORCID 0000-0001-6502-1425
Nick V GrishinDepartment of Biophysics, University of Texas Southwestern Medical Center, Dallas, Texas, USA.

Funding

Computational analysis of proteinsR35GM127390 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI GRISHIN, NICK V. · 2018 to 2022
$1.5M
ECOD: Large scale classification of predicted and experimental protein structuresR01GM147367 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI Richard Dustin Schaeffer · 2023 to 2026
$1.4M
National Science Foundation DBI 2224128NIGMS NIH HHS GM127390NIGMS NIH HHS GM147367NIGMS NIH HHS R01 GM147367NIGMS NIH HHS R35 GM127390Welch Foundation I-1505
6 · The paper itself

Abstract

Interactions between proteins and small organic compounds play a crucial role in regulating protein functions. These interactions can modulate various aspects of protein behavior, including enzymatic activity, signaling cascades, and structural stability. By binding to specific sites on proteins, small organic compounds can induce conformational changes, alter protein-protein interactions, or directly affect catalytic activity. Therefore, many drugs available on the market today are small molecules (72% of all approved drugs in the last 5 years). Proteins are composed of one or more domains: evolutionary units that convey function or fitness either singly or in concert with others. Understanding which domain(s) of the target protein binds to a drug can lead to additional opportunities for discovering novel targets. The evolutionary classification of protein domains (ECOD) classifies domains into an evolutionary hierarchy that focuses on distant homology. Previously, no structure-based protein domain classification existed that included information about both the interaction between small molecules or drugs and the structural domains of a target protein. This data is especially important for multidomain proteins and large complexes. Here, we present the DrugDomain database that reports the interaction between ECOD of human target proteins and DrugBank molecules and drugs. The pilot version of DrugDomain describes the interaction of 5160 DrugBank molecules associated with 2573 human proteins. It describes domains for all experimentally determined structures of these proteins and incorporates AlphaFold models when such structures are unavailable. The DrugDomain database is available online: http://prodata.swmed.edu/DrugDomain/.

Indexed as

Protein DomainsProteinsDatabases, ProteinEvolution, MolecularHumansPharmaceutical PreparationsProtein BindingSmall Molecule LibrariesPharmaceutical PreparationsProteinsSmall Molecule Librariesdomaindrugsprotein structuresmall moleculestarget

Identifiers

PMID38979784
PMCPMC11231930

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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.