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M A Unseren

Publications and source records attributed to M A Unseren.

2 recordsLinked to original sources

Sequence-structure specificity of a knowledge based energy function at the secondary structure level.

MOTIVATION: This paper investigates the sequence-structure specificity of a representative knowledge based energy function by applying it to threading at the level of secondary structures of proteins. Assessing the strengths and weaknesses of an energy function at this fundamental level provides more detailed and insightful information than at the tertiary structure level and the results obtained can be useful in tertiary level threading. RESULTS: We threaded each of the 293 non-redundant proteins onto the secondary structures contained in its respective native protein (host template). We also used 68 pairs of proteins with similar folds and low sequence identity. For each pair, we threaded the sequence of one protein onto the secondary structures of the other protein. The discerning power of the total energy function and its one-body, pairwise, and mutation components is studied. We then applied our energy function to a recent study which demonstrated how a designed 11-amino acid sequence can replace distinct segments (one segment is an alpha-helix, the other is a beta-sheet) of a protein without changing its fold. We conducted random mutations of the designed sequence to determine the patterns for favorable mutations. We also studied the sequence-structure specificity at the boundaries of a secondary structure. Finally, we demonstrated how to speed up tertiary level threading by filtering out alignments found to be energetically unfavorable during the secondary structure threading. AVAILABILITY: The program is available on request from the authors. CONTACT: xud@ornl.gov

Amino Acid Sequence↗

Protein threading by PROSPECT: a prediction experiment in CASP3.

We present an analysis of the protein fold recognition experiment using PROSPECT in The Third Community Wide Experiment on the Critical Assessment of Techniques for Protein Structure Prediction (CASP3). PROSPECT is a computer program we have recently developed for finding an optimal alignment between a protein sequence and a protein structural fold. Two unique features of PROSPECT are (a) that it guarantees to find the globally optimal sequence-structure alignment and does so in an efficient manner, when the alignment-scoring function consists of three additive terms: (i) a singleton fitness term, (ii) a pairwise contact preference term between residues that are spatially close (</=15 A between their beta-carbons) and (iii) an alignment gap penalty; and (b) that it guarantees to find the globally-optimal alignment under various constraints on the unknown protein specified by the user. In the CASP3 experiment, PROSPECT correctly identified the most similar folds for 11 targets and predicted closely-similar folds for five other targets among the 23 targets which can be classified into the category of fold-recognition problems and also had their experimentally-determined structures available. Among the 11 correctly identified folds, PROSPECT obtained good sequence-structure alignments for nine of them. On three of the five ab initio prediction problems, PROSPECT successfully located partial structures from our template library, which align accurately with the corresponding targets.

Amino Acid Sequence↗