Assessing predictions on fitness effects of missense variants in calmodulin.


Journal

Human mutation
ISSN: 1098-1004
Titre abrégé: Hum Mutat
Pays: United States
ID NLM: 9215429

Informations de publication

Date de publication:
09 2019
Historique:
received: 18 04 2019
revised: 26 06 2019
accepted: 27 06 2019
pubmed: 10 7 2019
medline: 14 3 2020
entrez: 9 7 2019
Statut: ppublish

Résumé

This paper reports the evaluation of predictions for the "CALM1" challenge in the fifth round of the Critical Assessment of Genome Interpretation held in 2018. In the challenge, the participants were asked to predict effects on yeast growth caused by missense variants of human calmodulin, a highly conserved protein in eukaryotic cells sensing calcium concentration. The performance of predictors implementing different algorithms and methods is similar. Most predictors are able to identify the deleterious or tolerated variants with modest accuracy, with a baseline predictor based purely on sequence conservation slightly outperforming the submitted predictions. Nevertheless, we think that the accuracy of predictions remains far from satisfactory, and the field awaits substantial improvements. The most poorly predicted variants in this round surround functional CALM1 sites that bind calcium or peptide, which suggests that better incorporation of structural analysis may help improve predictions.

Identifiants

pubmed: 31283071
doi: 10.1002/humu.23857
pmc: PMC6744288
mid: NIHMS1039774
doi:

Substances chimiques

CALM1 protein, human 0
Calmodulin 0
Fungal Proteins 0
Calcium SY7Q814VUP

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1463-1473

Subventions

Organisme : NIH HHS
ID : GM127390
Pays : United States
Organisme : NIH HHS
ID : HG004233
Pays : United States
Organisme : NIGMS NIH HHS
ID : R01 GM066099
Pays : United States
Organisme : NIGMS NIH HHS
ID : R35 GM127390
Pays : United States
Organisme : NHGRI NIH HHS
ID : P50 HG004233
Pays : United States
Organisme : NIH HHS
ID : GM066099
Pays : United States
Organisme : Howard Hughes Medical Institute
Pays : United States
Organisme : NIGMS NIH HHS
ID : R01 GM079656
Pays : United States
Organisme : NIH HHS
ID : GM079656
Pays : United States
Organisme : NIH HHS
ID : HG007346
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG061105
Pays : United States
Organisme : The Welch Foundation
ID : I-1505
Pays : International
Organisme : NIH HHS
ID : HG006650
Pays : United States
Organisme : NIH HHS
ID : AG061105
Pays : United States
Organisme : NHGRI NIH HHS
ID : R13 HG006650
Pays : United States
Organisme : NHGRI NIH HHS
ID : U41 HG007346
Pays : United States
Organisme : NIGMS NIH HHS
ID : R01 GM094575
Pays : United States

Informations de copyright

© 2019 Wiley Periodicals, Inc.

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Auteurs

Jing Zhang (J)

Departments of Biophysics and Biochemistry, University of Texas Southwestern Medical Center, Dallas, Texas.

Lisa N Kinch (LN)

Howard Hughes Medical Institute, University of Texas Southwestern Medical Center, Dallas, Texas.

Qian Cong (Q)

Departments of Biophysics and Biochemistry, University of Texas Southwestern Medical Center, Dallas, Texas.

Panagiotis Katsonis (P)

Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas.

Olivier Lichtarge (O)

Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas.
Department of Biochemistry & Molecular Biology, Department of Pharmacology, Computational and Integrative Biomedical Research Center, Baylor College of Medicine, Houston, Texas.

Castrense Savojardo (C)

Biocomputing Group, FABIT/Giorgio Prodi Interdepartmental Center for Cancer Research, University of Bologna, Bologna, Italy.

Giulia Babbi (G)

Biocomputing Group, FABIT/Giorgio Prodi Interdepartmental Center for Cancer Research, University of Bologna, Bologna, Italy.

Pier Luigi Martelli (PL)

Biocomputing Group, FABIT/Giorgio Prodi Interdepartmental Center for Cancer Research, University of Bologna, Bologna, Italy.

Emidio Capriotti (E)

Biocomputing Group, FABIT/Giorgio Prodi Interdepartmental Center for Cancer Research, University of Bologna, Bologna, Italy.

Rita Casadio (R)

Biocomputing Group, FABIT/Giorgio Prodi Interdepartmental Center for Cancer Research, University of Bologna, Bologna, Italy.

Aditi Garg (A)

Department of Computational and Data Sciences, Indian Institute of Science, Bangalore, India.

Debnath Pal (D)

Department of Computational and Data Sciences, Indian Institute of Science, Bangalore, India.

Jochen Weile (J)

Lunenfeld-Tanenbaum Research Institute, Toronto, Ontario, Canada.
The Donnelly Centre, University of Toronto, Toronto, Ontario, Canada.
Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.

Song Sun (S)

Lunenfeld-Tanenbaum Research Institute, Toronto, Ontario, Canada.
The Donnelly Centre, University of Toronto, Toronto, Ontario, Canada.
Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.

Marta Verby (M)

Lunenfeld-Tanenbaum Research Institute, Toronto, Ontario, Canada.
The Donnelly Centre, University of Toronto, Toronto, Ontario, Canada.
Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.

Frederick P Roth (FP)

Lunenfeld-Tanenbaum Research Institute, Toronto, Ontario, Canada.
The Donnelly Centre, University of Toronto, Toronto, Ontario, Canada.
Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.
Department of Computer Science, University of Toronto, Toronto, Ontario, Canada.

Nick V Grishin (NV)

Departments of Biophysics and Biochemistry, University of Texas Southwestern Medical Center, Dallas, Texas.
Howard Hughes Medical Institute, University of Texas Southwestern Medical Center, Dallas, Texas.

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Classifications MeSH