A Computational Workflow for Analysis of Missense Mutations in Precision Oncology
R. T. Khan, P. Pokorna, J. Stourac, S. Borko, I. Arefiev, J. Planas-Iglesias, A. Dobias, G. Pinto, V. Szotkowska, J. Sterba, O. Slaby, J. Damborsky, S. Mazurenko, D. Bednar
This paper presents a bioinformatics pipeline for analyzing missense mutations in oncogenic proteins, providing a probability score for functional impact and suggesting potential FDA/EMA-approved drugs.
bioRxiv · Jun 8, 2024Cancer Biology