Article

Kinase Driver Mutations in Protein-protein Structure may associate to Disease by Effecting Kinase Stability

2018-07-20

Abstract excerpt

<h4>ABSTRACT</h4> Activating mutations are significant drug targets of diseases. Statistical analysis on the mutated amino acids, the mutation characteristic and the related disease information of activating mutations is of great significance for the diagnosis and treatment of diseases. Study on the protein stability by predicting Gibbs free energy (ΔΔG) change after mutation is very helpful for understanding the...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: e766cd63-847d-5cc0-a926-f6e51916ae17
DOI: 10.1101/373613

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Kinase Driver Mutations in Protein-protein Structure may associate to Disease by Effecting Kinase StabilityDOI 10.1101/373613Read

Structure-functional prediction and analysis of cancer mutation effects in protein kinases.Semantic proximity Read

Protein Structure Readouts of Cancer Drivers for Precision MedicineSemantic proximity Read

Insights into changes in binding affinity caused by disease mutations in protein-protein complexes.Semantic proximity Read

Dissecting Mutational Allosteric Effects in Alkaline Phosphatases Associated with Different Hypophosphatasia Phenotypes: An Integrative Computational InvestigationSemantic proximity Read

Sequence and structure signatures of cancer mutation hotspots in protein kinases.Semantic proximity Read

Computational approaches for identifying disease-causing mutations in proteins.Semantic proximity Read

Cancer missense mutations alter binding properties of proteins and their interaction networks.Semantic proximity Read

Leveraging biochemical reactions to unravel functional impacts of cancer somatic variants affecting protein interaction interfacesSemantic proximity Read

Protein Structure Readouts of Cancer Drivers for Precision Medicine.Semantic proximity Read

Exploring preferred amino acid mutations in cancer genes: Applications to identify potential drug targets.Semantic proximity Read

A structural machine learning approach for rapid prediction of thermodynamically destabilizing tyrosine phosphorylations.Semantic proximity Read

SKEMPI 2.0: An updated benchmark of changes in protein-protein binding energy, kinetics and thermodynamics upon mutationSemantic proximity Read