PROSTATA: a framework for protein stability assessment using transformers

Dmitriy Umerenkov, Fedor Nikolaev, Tatiana I Shashkova, Pavel V. Strashnov, Maria Sindeeva, Andrey Shevtsov, Nikita V. Ivanisenko, Olga L. Kardymon

Abstract: Accurate prediction of change in protein stability due to point mutations is an attractive goal that remains unachieved. Despite the high interest in this area, little consideration has been given to the transformer architecture, which is dominant in many fields of machine learning.