Amino acid impact factor.
Ontology highlight
ABSTRACT: Amino acid mutations in proteins are random and those mutations which are beneficial or neutral survive during the course of evolution. Conservation or co-evolution analyses are performed on the multiple sequence alignment of homologous proteins to understand how important different amino acids or groups of them are. However, these traditional analyses do not explore the directed influence of amino acid mutations, such as compensatory effects. In this work we develop a method to capture the directed evolutionary impact of one amino acid on all other amino acids, and provide a visual network representation for it. The method developed for these directed networks of inter- and intra-protein evolutionary interactions can also be used for noting the differences in amino acid evolution between
SUBMITTER: Sruthi CK
PROVIDER: S-EPMC5999116 | biostudies-literature | 2018
REPOSITORIES: biostudies-literature
ACCESS DATA