SoluProtMut DB 1.0

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Authors	BEDNÁŘ David DAMBORSKÝ Jiří JANKŮJOVÁ Marie MAZURENKO Stanislav MUSIL Miloš ŠTOURAČ Jan VELECKÝ Jan
Year of publication	2021
Type	Software
MU Faculty or unit	Faculty of Science
web	https://loschmidt.chemi.muni.cz/soluprotmutdb/
Description	The goal of the SoluProtMut database is to collect the reported evidence of solubility changes upon mutations from published sources to guide future protein engineering effort in producing soluble protein variants. The database currently contains data previously used for training Machine Learning-based predictors, such as PON-Sol, CamSol, AGGRESCAN3D, OptSolMut, as well as recently published datasets. We are providing manually curated and reliable data in the standardized format which are pre-processed for machine learning applications.
Related projects:	Stabilizace aplikačně atraktivních FGF proteinů pomocí pokročilých metod proteinového inženýrství