Successor Sequence Predictor (SSP)

Khan,  Rayyan Tariq; Kohout,  Pavel; Musil,  Miloš; Rosínská, Monika; Damborský,  Jiří; Mazurenko,  Stanislav; Bednář,  David; Vilím,  Jan

Successor Sequence Predictor (SSP)

Warning

This publication doesn't include Faculty of Economics and Administration. It includes Faculty of Science. Official publication website can be found on muni.cz.

Authors	KHAN Rayyan Tariq KOHOUT Pavel MUSIL Miloš ROSÍNSKÁ Monika DAMBORSKÝ Jiří MAZURENKO Stanislav BEDNÁŘ David VILÍM Jan
Year of publication	2024
Type	Software
MU Faculty or unit	Faculty of Science
web	https://github.com/loschmidt/successor-sequence-predictor
Description	Successor Sequence Predictor is an in silico method that mimics laboratory-based protein evolution by reconstructing a protein’s evolutionary history and suggesting future amino acid substitutions based on trends observed in that history through carefully selected physicochemical descriptors. This approach enhances specialised proteins by predicting mutations that improve desired properties, such as thermostability, activity, and solubility. Successor Sequence Predictor can thus be used as a general protein engineering tool to develop practically useful proteins. The code of the Successor Sequence Predictor is available on GitHub https://github.com/loschmidt/successor-sequence-predictor.
Related projects:	Stabilizace aplikačně atraktivních FGF proteinů pomocí pokročilých metod proteinového inženýrství