title: Automated side-chain model building and sequence assignment by template matching.
abstract: An algorithm is described for automated building of side chains in an electron-density map once a main-chain model is built and for alignment of the protein sequence to the map. The procedure is based on a comparison of electron density at the expected side-chain positions with electron-density templates. The templates are constructed from average amino-acid side-chain densities in 574 refined protein structures. For each contiguous segment of main chain, a matrix with entries corresponding to an estimate of the probability that each of the 20 amino acids is located at each position of the main-chain model is obtained. The probability that this segment corresponds to each possible alignment with the sequence of the protein is estimated using a Bayesian approach and high-confidence matches are kept. Once side-chain identities are determined, the most probable rotamer for each side chain is built into the model. The automated procedure has been implemented in the RESOLVE software. Combined with automated main-chain model building, the procedure produces a preliminary model suitable for refinement and extension by an experienced crystallographer.
authors.affiliation: Los Alamos National Laboratory, Los Alamos, NM 87545, USA. terwilliger@lanl.gov
authors.forename: Thomas C
authors.initials: TC
authors.lastname: Terwilliger
mesh_terms: D000465:Algorithms; D000595:Amino Acid Sequence; D001331:Automation; D018360:Crystallography, X-Ray / Q000379:methods; D030562:Databases, Protein; D008956:Models, Chemical; D008958:Models, Molecular; D010446:Peptide Fragments / Q000737:chemistry*; D011487:Protein Conformation; D012680:Sensitivity and Specificity; D016415:Sequence Alignment; D012984:Software; D055672:Static Electricity
chemical_list: D010446:Peptide Fragments