wKinMut-2: Identification and Interpretation of Pathogenic Variants in Human Protein Kinases-Reference-Cited by-同舟云学术

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wKinMut-2: Identification and Interpretation of Pathogenic Variants in Human Protein Kinases

Published:2015-10-20 Issue:1 Volume:37 Page:36-42
ISSN:1059-7794
Container-title:Human Mutation
language:en
Short-container-title:Human Mutation

Author:

Vazquez Miguel¹,Pons Tirso¹,Brunak Søren²³,Valencia Alfonso¹,Izarzugaza Jose M.G.³

Affiliation:

1. Structural Biology and BioComputing Programme; Spanish National Cancer Research Centre (CNIO); Madrid 28029 Spain

2. Novo Nordisk Foundation Center for Protein Research; Faculty of Health Sciences; University of Copenhagen; Copenhagen 2200 Denmark

3. Center for Biological Sequence Analysis (CBS); Systems Biology Department; Technical University of Denmark (DTU); Kongens Lyngby 2800 Denmark

Publisher

Wiley

Subject

Genetics(clinical),Genetics

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/humu.22914/fullpdf

Reference42 articles.

1. A method and server for predicting damaging missense mutations;Adzhubei;Nat Methods,2010

2. Gene ontology: tool for the unification of biology. The Gene Ontology Consortium;Ashburner;Nat Genet,2000

3. The COSMIC (Catalogue of Somatic Mutations in Cancer) database and website;Bamford;Br J Cancer,2004

4. From cancer genomes to cancer models: bridging the gaps;Baudot;EMBO Rep,2009

5. Cancer-specific high-throughput annotation of somatic mutations: computational prediction of driver missense mutations;Carter;Cancer Res,2009

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1. Dark kinase annotation, mining, and visualization using the Protein Kinase Ontology;PeerJ;2023-12-05

2. Identification of four novel mutations in BTK from six Chinese families with X-linked agammaglobulinemia;Clinica Chimica Acta;2022-06

3. Dark kinase annotation, mining and visualization using the Protein Kinase Ontology;2022-03-01

4. Annotating Cancer-Related Variants at Protein–Protein Interface with Structure-PPi;Variant Calling;2022

5. IDRMutPred: predicting disease-associated germline nonsynonymous single nucleotide variants (nsSNVs) in intrinsically disordered regions;Bioinformatics;2020-08-05

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