Associated Papers
Overcoming Resistance in Cancer Therapy: Computational Exploration of PIK3CA Mutations, Unveiling Novel Non-Toxic Inhibitors, and Molecular Insights Into Targeting PI3Kα.
Kandoussi I et al.
Bioinformatics and Biology Insights, 2024
Machine Learning Classification and Structure-Functional Analysis of Cancer Mutations Reveal Unique Dynamic and Network Signatures of Driver Sites in Oncogenes and Tumor Suppressor Genes.
Agajanian S et al.
Journal of Chemical Information and Modeling, 2018
Racial differences in oncogene mutations detected in early-stage low-grade endometrial cancers.
Cote ML et al.
International Journal of Gynecological Cancer : Official Journal of the International Gynecological Cancer Society, 2012
PIK3CA in breast carcinoma: a mutational analysis of sporadic and hereditary cases.
Michelucci A et al.
Diagnostic Molecular Pathology : the American Journal of Surgical Pathology, Part B, 2009
Comprehensive analysis of oncogenic effects of PIK3CA mutations in human mammary epithelial cells.
Zhang H et al.
Breast Cancer Research and Treatment, 2008
Somatic mutation and gain of copy number of PIK3CA in human breast cancer.
Wu G et al.
Breast Cancer Research : Bcr, 2005
Select a paper to view details