β Scribed by Marcos R. Betancourt; Jeffrey Skolnick
No coin nor oath required. For personal study only.
We introduce a new variant of the root mean square distance (RMSD) for comparing protein structures whose range of values is independent of protein size. This new dimensionless measure (relative RMSD, or RRMSD) is zero between identical structures and one between structures that are as globally dissimilar as an average pair of random polypeptides of respective sizes. The RRMSD probability distribution between random polypeptides converges to a universal curve as the chain length increases. The correlation coefficients between aligned random structures are computed as a function of polypeptide size showing two characteristic lengths of 4.7 and 37 residues. These lengths mark the separation between phases of different structural order between native protein fragments. The implications for threading are discussed.
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Following the first experiment for the Critical Assessment of methods for protein Structure Prediction (CASP1), numerical criteria were devised to analyze the performance of prediction methods. We report here the criteria for comparative modeling, and how effective they were in CASP2. These criteria
We have developed an automatic protein fingerprinting method for the evaluation of protein structural similarities based on secondary structure element compositions, spatial arrangements, lengths, and topologies. This method can rapidly identify proteins sharing structural homologies as we demonstra