Yesol Sapozhnikov

The paper evaluates predictive models for {Phi}X174 bacteriophage viability using biophysical and molecular modeling approaches, finding that large-effect mutations are highly informative for predicting phenotypes.

This study models how protein stability affects fitness in {phi}X174 bacteriophage using deep mutational scanning and a multistage binomial model, finding that large destabilizing mutations predict inviability but smaller ones do not reliably predict survival.

The paper describes a protocol for generating saturation mutagenesis libraries of the {Phi}X174 bacteriophage using unamplified oligo pools and golden gate assembly, enabling comprehensive mutation analysis of viral proteins.