Evidence map›Paper›PMID 37443295›Full record

ArticleCommunications biology2023

Disruptor: Computational identification of oncogenic mutants disrupting protein-protein and protein-DNA interactions.

Valentina Kugler, Andreas Lieb, Nathan Guerin, Bruce R Donald, Eduard Stefan, Teresa Kaserer

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
  3. DexDesign: an OSPREY-based algorithm for designing de novo D-peptide inhibitors.Protein engineering, design & selection : PEDS · 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

6 authors at 3 institutions in 2 countries.

Valentina KuglerInstitute of Biochemistry and Center for Molecular Biosciences, University of Innsbruck, Innsbruck, Austria.
Andreas LiebInstitute of Pharmacology, Medical University of Innsbruck, Innsbruck, Austria.ORCID 0000-0001-9567-649X
Nathan GuerinDepartment of Computer Science, Duke University, Durham, NC, USA.
Bruce R DonaldDepartment of Computer Science, Duke University, Durham, NC, USA.
Eduard StefanInstitute of Biochemistry and Center for Molecular Biosciences, University of Innsbruck, Innsbruck, Austria.ORCID 0000-0003-3650-4713
Teresa KasererInstitute of Pharmacy/Pharmaceutical Chemistry, University of Innsbruck, Innsbruck, Austria. teresa.kaserer@uibk.ac.at.ORCID 0000-0003-0372-1885
Universität Innsbruck · ATDuke University · USInnsbruck Medical University · AT

Funding

Diversity Supplement: Computational and Experimental Studies of Protein Structure and DesignR35GM144042 · NIGMS · DUKE UNIVERSITY · PI Bruce R. Donald · 2022 to 2026
$3.2M
Austrian Science Fund FWF P 27606Austrian Science Fund FWF P 30441Austrian Science Fund FWF P 32960Austrian Science Fund FWF P 33222Austrian Science Fund FWF P 35159Austrian Science Fund FWF P 35579NIGMS NIH HHS R35 GM144042
6 · The paper itself

Abstract

We report an Osprey-based computational protocol to prospectively identify oncogenic mutations that act via disruption of molecular interactions. It is applicable to analyse both protein-protein and protein-DNA interfaces and it is validated on a dataset of clinically relevant mutations. In addition, it is used to predict previously uncharacterised patient mutations in CDK6 and p16 genes, which are experimentally confirmed to impair complex formation.

Indexed as

DNAProteinsHumansMutationDNAProteins

Identifiers

PMID37443295
PMCPMC10344873
OpenAlexW4384205142

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.