Structure‐energy‐based predictions and network modelling of RAS opathy and cancer missense mutations-Reference-Cited by-同舟云学术

Structure‐energy‐based predictions and network modelling of RAS opathy and cancer missense mutations

Published:2014-05 Issue:5 Volume:10 Page:727
ISSN:1744-4292
Container-title:Molecular Systems Biology
language:en
Short-container-title:Mol Syst Biol

Author:

Kiel Christina¹²,Serrano Luis¹²³

Affiliation:

1. EMBL/CRG Systems Biology Research Unit Centre for Genomic Regulation (CRG) Barcelona Spain

2. Universitat Pompeu Fabra (UPF) Barcelona Spain

3. Institució Catalana de Recerca i Estudis Avançats (ICREA) Barcelona Spain

Publisher

EMBO

Subject

Applied Mathematics,Computational Theory and Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Information Systems

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/msb.20145092

Reference79 articles.

1. Using protein design algorithms to understand the molecular basis of disease caused by protein–DNA interactions: the Pax6 example

2. The intermediate-activity L597VBRAF mutant acts as an epistatic modifier of oncogenic RAS by enhancing signaling through the RAF/MEK/ERK pathway

3. The RAS/MAPK syndromes: novel roles of the RAS pathway in human genetic disorders

4. Gain-of-Function Mutations in RIT1 Cause Noonan Syndrome, a RAS/MAPK Pathway Syndrome

5. Noonan syndrome cardiac defects are caused by PTPN11 acting in endocardium to enhance endocardial-mesenchymal transformation

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