Using first passage statistics to extract environmentally dependent amino acid correlations.

ABSTRACT: In this work, we study the first passage statistics of amino acid primary sequences, that is the probability of observing an amino acid for the first time at a certain number of residues away from a fixed amino acid. By using this rich mathematical framework, we are able to capture the background distribution for an organism, and infer lengths at which the first passage has a probability that differs from what is expected. While many features of an organism's genome are due to natural selection, others are related to amino acid chemistry and the environment in which an organism lives, constraining the randomness of genomes upon which selection can further act. We therefore use this approach to infer amino acid correlations, and then study how these correlations vary across a wide range of

SUBMITTER: Greenbaum BD 

PROVIDER: S-EPMC4084998 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature