Skip to main content
eScholarship
Open Access Publications from the University of California

UCSF

UC San Francisco Electronic Theses and Dissertations bannerUCSF

Statistical evaluation of coevolution methods for predicting inter-protein contacts

Abstract

In this work I rigorously benchmark thirteen methods for detecting residue coevolution between proteins and illustrate their strengths and weaknesses under a variety of practical data scenarios, including cross-species protein interactions such as those involved in the host-pathogen “arms race” between lentiviruses and the mammals they infect. I investigate the effects of a variety of null distributions on the false positive rate of predictions. Additionally, I provide computational tools that facilitate a standardized coevolutionary benchmark analysis.

Main Content
For improved accessibility of PDF content, download the file to your device.
Current View