Open AccessImproved mutant function prediction via PACT: Protein Analysis and Classifier Toolkit
Author(s) -
Justin R. Klesmith,
Benjamin J. Hackel
Publication year - 2018
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bty1042
Subject(s) - computer science , pact , classifier (uml) , python (programming language) , mit license , source code , modular design , computational biology , artificial intelligence , software , data mining , machine learning , programming language , biology , archaeology , history
Deep mutational scanning experiments have enabled the measurement of the sequence-function relationship for thousands of mutations in a single experiment. The Protein Analysis and Classifier Toolkit (PACT) is a Python software package that marries the fitness metric of a given mutation within these experiments to sequence and structural features enabling downstream analyses. PACT enables the easy development of user sharable protocols for custom deep mutational scanning experiments as all code is modular and reusable between protocols. Protocols for mutational libraries with single or multiple mutations are included. To exemplify its utility, PACT assessed two deep mutational scanning datasets that measured the tradeoff of enzyme activity and enzyme stability.