Structure prediction of partial-length protein sequences.

ABSTRACT: Protein structure information is essential to understand protein function. Computational methods to accurately predict protein structure from the sequence have primarily been evaluated on protein sequences representing full-length native proteins. Here, we demonstrate that top-performing structure prediction methods can accurately predict the partial structures of proteins encoded by sequences that contain approximately 50% or more of the full-length protein sequence. We hypothesize that structure prediction may be useful for predicting functions of proteins whose corresponding genes are mapped expressed sequence tags (ESTs) that encode partial-length amino acid sequences. Additionally, we identify a confidence score representing the quality of a predicted structure as a useful means of pr

SUBMITTER: Laurenzi A 

PROVIDER: S-EPMC3742278 | biostudies-literature | 2013 Jul

REPOSITORIES: biostudies-literature