Computational prediction of the tolerance to amino-acid deletion in green-fluorescent protein.

ABSTRACT: Proteins evolve through two primary mechanisms: substitution, where mutations alter a protein's amino-acid sequence, and insertions and deletions (indels), where amino acids are either added to or removed from the sequence. Protein structure has been shown to influence the rate at which substitutions accumulate across sites in proteins, but whether structure similarly constrains the occurrence of indels has not been rigorously studied. Here, we investigate the extent to which structural properties known to covary with protein evolutionary rates might also predict protein tolerance to indels. Specifically, we analyze a publicly available dataset of single-amino-acid deletion mutations in enhanced green fluorescent protein (eGFP) to assess how well the functional effect of deletions can be p

SUBMITTER: Jackson EL 

PROVIDER: S-EPMC5378326 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature