Evidence map›Paper›PMID 31327459›Full record

ArticleBiophysical journal2019

Structural Insights into Hearing Loss Genetics from Polarizable Protein Repacking.

Mallory R Tollefson, Jacob M Litman, Guowei Qi, Claire E O'Connell, Matthew J Wipfler, Robert J Marini, Hernan V Bernabe, William T A Tollefson, Terry A Braun, Thomas L Casavant and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

11 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Germline landscape ofFrontiers in oncology · 2023
    Article
  6. Article
  7. Article
  8. Implicit Solvents for the Polarizable Atomic Multipole AMOEBA Force Field.Journal of chemical theory and computation · 2021
    Article
  9. Article
  10. Article
  11. 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

12 authors at 2 institutions in 1 country.

Mallory R TollefsonDepartment of Biomedical Engineering, University of Iowa, Iowa City, Iowa; Molecular Otolaryngology & Renal Research Laboratories, Department of Otolaryngology-Head and Neck Surgery, University of Iowa Hospitals and Clinics, Iowa City, Iowa.
Jacob M LitmanDepartment of Biochemistry, University of Iowa, Iowa City, Iowa.
Guowei QiDepartment of Biochemistry, University of Iowa, Iowa City, Iowa.
Claire E O'ConnellDepartment of Biomedical Engineering, University of Iowa, Iowa City, Iowa.
Matthew J WipflerDepartment of Biomedical Engineering, University of Iowa, Iowa City, Iowa.
Robert J MariniMolecular Otolaryngology & Renal Research Laboratories, Department of Otolaryngology-Head and Neck Surgery, University of Iowa Hospitals and Clinics, Iowa City, Iowa.
Hernan V BernabeDepartment of Biomedical Engineering, University of Iowa, Iowa City, Iowa; Molecular Otolaryngology & Renal Research Laboratories, Department of Otolaryngology-Head and Neck Surgery, University of Iowa Hospitals and Clinics, Iowa City, Iowa.
William T A TollefsonDepartment of Biomedical Engineering, University of Iowa, Iowa City, Iowa.
Terry A BraunDepartment of Biomedical Engineering, University of Iowa, Iowa City, Iowa.
Thomas L CasavantDepartment of Biomedical Engineering, University of Iowa, Iowa City, Iowa.
Richard J H SmithMolecular Otolaryngology & Renal Research Laboratories, Department of Otolaryngology-Head and Neck Surgery, University of Iowa Hospitals and Clinics, Iowa City, Iowa. Electronic address: richard-smith@uiowa.edu.
Michael J SchniedersDepartment of Biomedical Engineering, University of Iowa, Iowa City, Iowa; Department of Biochemistry, University of Iowa, Iowa City, Iowa. Electronic address: michael-schnieders@uiowa.edu.
University of Iowa · USUniversity of Iowa Hospitals and Clinics · US

Funding

Optimizing Genetic Testing for Deafness for Clinical DiagnosticsR01DC012049 · NIDCD · UNIVERSITY OF IOWA · PI TERRY A BRAUN, Thomas L. Casavant · 2011 to 2026
$8.7M
PREDOCTORAL TRAINING PROGRAM IN BIOTECHNOLOGYT32GM008365 · NIGMS · UNIVERSITY OF IOWA · PI KERNS, ROBERT JOHN · 1990 to 2021
$3.8M
NIDCD NIH HHS R01 DC012049NIGMS NIH HHS T32 GM008365
6 · The paper itself

Abstract

Hearing loss is associated with ∼8100 mutations in 152 genes, and within the coding regions of these genes are over 60,000 missense variants. The majority of these variants are classified as "variants of uncertain significance" to reflect our inability to ascribe a phenotypic effect to the observed amino acid change. A promising source of pathogenicity information is biophysical simulation, although input protein structures often contain defects because of limitations in experimental data and/or only distant homology to a template. Here, we combine the polarizable atomic multipole optimized energetics for biomolecular applications force field, many-body optimization theory, and graphical processing unit acceleration to repack all deafness-associated proteins and thereby improve average structure MolProbity score from 2.2 to 1.0. We then used these optimized wild-type models to create over 60,000 structures for missense variants in the Deafness Variation Database, which are being incorporated into the Deafness Variation Database to inform deafness pathogenicity prediction. Finally, this work demonstrates that advanced polarizable atomic multipole force fields are efficient enough to repack the entire human proteome.

Indexed as

AlgorithmsBiophysical PhenomenaDatabases, ProteinHearing LossHumansModels, MolecularProteinsProteins

Identifiers

PMID31327459
PMCPMC6697528
OpenAlexW2954352560

What OpenQuestion holds

Textmetadata
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.