Survey of human mitochondrial diseases using new genomic/proteomic tools.

ABSTRACT:

Background

We have constructed Bayesian prior-based, amino-acid sequence profiles for the complete yeast mitochondrial proteome and used them to develop methods for identifying and characterizing the context of protein mutations that give rise to human mitochondrial diseases. (Bayesian priors are conditional probabilities that allow the estimation of the likelihood of an event - such as an amino-acid substitution - on the basis of prior occurrences of similar events.) Because these profiles can assemble sets of taxonomically very diverse homologs, they enable identification of the structurally and/or functionally most critical sites in the proteins on the basis of the degree of sequence conservation. These profiles can also find distant homologs with determined three-dimensional st

SUBMITTER: Plasterer TN 

PROVIDER: S-EPMC33397 | biostudies-literature | 2001

REPOSITORIES: biostudies-literature