Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2015 Nov 25;33(3):595–602. doi: 10.1093/molbev/msv274

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution 2015. This work is written by US Government employees and is in the public domain in the US.

This article is made available via the PMC Open Access Subset for unrestricted re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the COVID-19 pandemic or until permissions are revoked in writing. Upon expiration of these permissions, PMC is granted a perpetual license to make this article available via PMC and Europe PMC, consistent with existing copyright protections.

PMC Copyright notice

Fig. 2. — The power of conservative–radical distinctions based on biochemical factors. The 245 biochemical factors from the AAIndex database were used to construct 245 conservative-vs-radical distinctions, which were then applied to the prediction of mutant fitnesses from mutation scanning experiments. The AUC is the chance that a nominally conservative mutant has a higher fitness than a randomly chosen radical mutant. The range of AUC is thus from 0 to 1, with a null expectation of 0.5 for a random predictor. Most predictors (84 %) are more powerful than the transition:transversion distinction (AUC = 0.53), and all are less powerful than EX_B or U_B (AUC = 0.65 or 0.64, respectively).