Analysis of mutations in precision oncology using the automated, accurate, and user-friendly web tool PredictONCO.

ABSTRACT: Next-generation sequencing technology has created many new opportunities for clinical diagnostics, but it faces the challenge of functional annotation of identified mutations. Various algorithms have been developed to predict the impact of missense variants that influence oncogenic drivers. However, computational pipelines that handle biological data must integrate multiple software tools, which can add complexity and hinder non-specialist users from accessing the pipeline. Here, we have developed an online user-friendly web server tool PredictONCO that is fully automated and has a low barrier to access. The tool models the structure of the mutant protein in the first step. Next, it calculates the protein stability change, pocket level information, evolutionary conservation, and changes in

SUBMITTER: Khan RT 

PROVIDER: S-EPMC11647622 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature