Document Type

Article

Publication Date

11-24-2011

Publication Title

BMC Bioinformatics

Department

Department of Computer Science

Abstract

Fold recognition techniques take advantage of the limited number of overall structural organizations, and have become increasingly effective at identifying the fold of a given target sequence. However, in the absence of sufficient sequence identity, it remains difficult for fold recognition methods to always select the correct model. While a native-like model is often among a pool of highly ranked models, it is not necessarily the highest-ranked one, and the model rankings depend sensitively on the scoring function used. Structure elucidation methods can then be employed to decide among the models based on relatively rapid biochemical/biophysical experiments.

DOI

10.1186/1471-2105-12-S12-S5

Original Citation

Xiong F, Friedman AM, Bailey-Kellogg C. Planning combinatorial disulfide cross-links for protein fold determination. BMC Bioinformatics. 2011 Nov 24;12 Suppl 12(Suppl 12):S5. doi: 10.1186/1471-2105-12-S12-S5. PMID: 22168447; PMCID: PMC3247086.

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