This is the landing page of the new tool PredictSNPOnco to be released in Q2 2021.
Cancer is a generic term for a large group of diseases that can affect any part of the body. One of the defining features of cancer is the rapid formation of abnormal cells that grow beyond their usual boundaries .
When a patient is diagnosed with cancer, treatment can be a race against time. A generic treatment, proven to work, is preferred to slower personalized treatment. Given the differences in the various types of cancer, the treatment approach “one size fits all” has clear limitations. Therefore, methods enabling personalized medicine have been in use, typically involving sequencing of patients’ DNA and analysis of identified mutations .
PredictSNPOnco  is the web tool for fully automated and fast analysis of the effect of mutations on stability and function in known cancer targets applying in silico methods of molecular modelling and bioinformatics (Scheme).
Our workflow employes calculations realized by in house as well as established third-party tools: MakeMultimer , I-Tasser , FoldX , Rosetta , PIC , HOPE , PredictSNP, P2Rank , PropKa , H++ . The impact of mutations on the binding of all FDA-approved drugs is investigated using the tools AutoDock  and CaverDock . The results of these calculations will be complemented by the data retrieved from the publicly accessible databases: M-CSA  and Swiss-Prot . Calculations will be completed in a timeframe shorter than two weeks using a dataset from ZINC .
Scheme: Computational workflow of the software tool PredictSNPOnco analyzing mutations obtained by the sequencing DNA of oncology patients.
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The authors would like to express their thanks to the Czech Ministry of Education, the Grant Agency of the Czech Republic and the Technology Agency of the Czech Republic. This project has received funding from the European Union’s Horizon 2020 research and Innovation programme.