Evidence map›Paper›PMID 31584091›Full record

ArticleNucleic acids research2019

funtrp: identifying protein positions for variation driven functional tuning.

Maximilian Miller, Daniel Vitale, Peter C Kahn, Burkhard Rost, Yana Bromberg

Abstract read
In one paragraph

Article in Nucleic acids research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
–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

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Variant Effect Prediction in the Age of Machine Learning.Cold Spring Harbor perspectives in biology · 2024
    Review
  5. Rheostatic contributions to protein stability can obscure a position's functional role.Protein science : a publication of the Protein Society · 2024
    Article
  6. Article
  7. Evolutionary history of MEK1 illuminates the nature of deleterious mutations.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Structural Plasticity Is a Feature of Rheostat Positions in the Human NaInternational journal of molecular sciences · 2022
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

5 authors.

Maximilian MillerDepartment of Biochemistry and Microbiology, Rutgers University, 76 Lipman Dr, New Brunswick, NJ 08901, USA.
Daniel VitaleColumbian College of Arts and Sciences Data Science Program Corcoran Hall, 725 21st Street NW, Washington, DC 20052, USA.
Peter C KahnDepartment of Biochemistry and Microbiology, Rutgers University, 76 Lipman Dr, New Brunswick, NJ 08901, USA.
Burkhard RostDepartment for Bioinformatics and Computational Biology, Technische Universität München, Boltzmannstr. 3, 85748 Garching/Munich, Germany.
Yana BrombergDepartment of Biochemistry and Microbiology, Rutgers University, 76 Lipman Dr, New Brunswick, NJ 08901, USA.

Funding

THE SENDEP STUDY: LINKING MOLECULAR SENESCENCE CHANGES TO DEPRESSION AND COGNITIVE IMPAIRMENT IN LATE LIFER01MH115953 · NIMH · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI DINIZ, BRENO SATLER · 2019 to 2023
$3.0M
AVA,Dx: Analysis of Variation for Association with DiseaseR01GM115486 · NIGMS · RUTGERS, THE STATE UNIV OF N.J. · PI BROMBERG, YANA · 2019 to 2019
$306k
NIGMS NIH HHS R01 GM115486NIMH NIH HHS R01 MH115953
6 · The paper itself

Abstract

Evaluating the impact of non-synonymous genetic variants is essential for uncovering disease associations and mechanisms of evolution. An in-depth understanding of sequence changes is also fundamental for synthetic protein design and stability assessments. However, the variant effect predictor performance gain observed in recent years has not kept up with the increased complexity of new methods. One likely reason for this might be that most approaches use similar sets of gene and protein features for modeling variant effects, often emphasizing sequence conservation. While high levels of conservation highlight residues essential for protein activity, much of the variation observable in vivo is arguably weaker in its impact, thus requiring evaluation at a higher level of resolution. Here, we describe functionNeutral/Toggle/Rheostatpredictor (funtrp), a novel computational method that categorizes protein positions based on the position-specific expected range of mutational impacts: Neutral (weak/no effects), Rheostat (function-tuning positions), or Toggle (on/off switches). We show that position types do not correlate strongly with familiar protein features such as conservation or protein disorder. We also find that position type distribution varies across different protein functions. Finally, we demonstrate that position types can improve performance of existing variant effect predictors and suggest a way forward for the development of new ones.

Indexed as

ProteinsAmino Acid SequenceBase SequenceComputational BiologyConserved SequenceDatabases, ProteinHumansModels, MolecularMutationStructure-Activity RelationshipProteins

Identifiers

PMID31584091
PMCPMC6868392

What OpenQuestion holds

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LicenceCC BY-NC
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.