Ontology highlight
ABSTRACT:
SUBMITTER: Gray VE
PROVIDER: S-EPMC5799033 | biostudies-literature | 2018 Jan
REPOSITORIES: biostudies-literature
Gray Vanessa E VE Hause Ronald J RJ Luebeck Jens J Shendure Jay J Fowler Douglas M DM
Cell systems 20171206 1
Large datasets describing the quantitative effects of mutations on protein function are becoming increasingly available. Here, we leverage these datasets to develop Envision, which predicts the magnitude of a missense variant's molecular effect. Envision combines 21,026 variant effect measurements from nine large-scale experimental mutagenesis datasets, a hitherto untapped training resource, with a supervised, stochastic gradient boosting learning algorithm. Envision outperforms other missense v ...[more]