Bayesian classification of residues associated with protein functional divergence: Arf and Arf-like GTPases.

ABSTRACT:

Background

Certain residues within proteins are highly conserved across very distantly related organisms, yet their (presumably critical) structural or mechanistic roles are completely unknown. To obtain clues regarding such residues within Arf and Arf-like (Arf/Arl) GTPases--which function as on/off switches regulating vesicle trafficking, phospholipid metabolism and cytoskeletal remodeling--I apply a new sampling procedure for comparative sequence analysis, termed multiple category Bayesian Partitioning with Pattern Selection (mcBPPS).

Results

The mcBPPS sampler classified sequences within the entire P-loop GTPase class into multiple categories by identifying those evolutionarily-divergent residues most likely to be responsible for functional specialization. Here I focus o

SUBMITTER: Neuwald AF 

PROVIDER: S-EPMC3012027 | biostudies-literature | 2010 Dec

REPOSITORIES: biostudies-literature