Large‐scale pathogenicity prediction analysis of cancer‐associated kinase mutations reveals variability in sensitivity and specificity of computational methods

BACKGROUND: Mutations in kinases are the most frequent genetic alterations in cancer; however, experimental evidence establishing their cancerous nature is available only for a small fraction of these mutants. AIMS: Predicition analysis of kinome mutations is the primary aim of this study. Further o...

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Detalles Bibliográficos
Autores principales: Akula, Sravani, Mullaguri, Sai Charitha, Melton, Niklas Max, Katta, Archana, Naga, Venkata Sai Giridhar Reddy, Kandula, Shyamson, Pedada, Raj Kumar, Subramanian, Janakiraman, Kancha, Rama Krishna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Brief Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10501281/
https://www.ncbi.nlm.nih.gov/pubmed/37409618
http://dx.doi.org/10.1002/cam4.6324

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10501281/
https://www.ncbi.nlm.nih.gov/pubmed/37409618
http://dx.doi.org/10.1002/cam4.6324

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