PON-Sol2: Prediction of Effects of Variants on Protein Solubility.

ABSTRACT: Genetic variations have a multitude of effects on proteins. A substantial number of variations affect protein-solvent interactions, either aggregation or solubility. Aggregation is often related to structural alterations, whereas solubilizable proteins in the solid phase can be made again soluble by dilution. Solubility is a central protein property and when reduced can lead to diseases. We developed a prediction method, PON-Sol2, to identify amino acid substitutions that increase, decrease, or have no effect on the protein solubility. The method is a machine learning tool utilizing gradient boosting algorithm and was trained on a large dataset of variants with different outcomes after the selection of features among a large number of tested properties. The method is fast and has high perf

SUBMITTER: Yang Y 

PROVIDER: S-EPMC8348231 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature