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 evolution aryrates might also predict protein tolerance to indels.

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Document Details

Document Type
Technical Report
Publication Date
Apr 03, 2017
Accession Number
AD1070051

Entities

People

  • Claus O. Wilke
  • Eleisha L. Jackson
  • Stephanie J. Spielman

Organizations

  • University of Texas at Austin

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Amino Acids
  • Computational Biology
  • Computational Science
  • Computer Programming
  • Crystal Structure
  • Databases
  • Factor Analysis
  • Genetics
  • Information Science
  • Machine Learning
  • Proteins
  • Regression Analysis
  • Statistical Analysis
  • Structural Components
  • Structural Properties
  • Supervised Machine Learning
  • United States

Fields of Study

  • Biology

Readers

  • Molecular Genetics
  • Theoretical Analysis.