Toward an atomistic model for predicting transcription-factor binding sites. Author Robert Endres, Thomas Schulthess, Ned Wingreen Publication Year 2004 Type Journal Article Abstract Identifying the specific DNA-binding sites of transcription-factor proteins is essential to understanding the regulation of gene expression in the cell. Bioinformatics approaches are fast compared to experiments, but require prior knowledge of multiple binding sites for each protein. Here, we present an atomistic force-field method to predict binding sites based only on the X-ray structure of a related bound complex. Specific flexible contacts between the protein and DNA are modeled by a library of amino acid side-chain rotamers. Using the example of the mouse transcription factor, Zif268, a well-studied zinc-finger protein, we show that the protein sequence alone, without the detailed experimental structure, gives a strong bias toward the consensus binding site. Keywords Transcription Factors, Computational Biology, Algorithms, Binding Sites, Crystallography, X-Ray, DNA, DNA-Binding Proteins, Software, Models, Molecular, Early Growth Response Protein 1, Immediate-Early Proteins, Pliability, Predictive Value of Tests, Protein Conformation, Software Design Journal Proteins Volume 57 Issue 2 Pages 262-8 Date Published 11/2004 Alternate Journal Proteins Google ScholarBibTeXEndNote X3 XML