ProTstab - predictor for cellular protein stability.

ABSTRACT:

Background

Stability is one of the most fundamental intrinsic characteristics of proteins and can be determined with various methods. Characterization of protein properties does not keep pace with increase in new sequence data and therefore even basic properties are not known for far majority of identified proteins. There have been some attempts to develop predictors for protein stabilities; however, they have suffered from small numbers of known examples.

Results

We took benefit of results from a recently developed cellular stability method, which is based on limited proteolysis and mass spectrometry, and developed a machine learning method using gradient boosting of regression trees. ProTstab method has high performance and is well suited for large scale prediction of prot

SUBMITTER: Yang Y 

PROVIDER: S-EPMC6830000 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature