Download Computational Methods for Protein Structure Prediction and by Ying Xu (Editor), Dong Xu (Editor), Jie Liang (Editor) PDF

By Ying Xu (Editor), Dong Xu (Editor), Jie Liang (Editor)

Quantity certainly one of this two-volume series specializes in the fundamental characterization of recognized protein constructions, and constitution prediction from protein series info. 11 chapters survey of the sphere, masking key themes in modeling, strength fields, category, computational equipment, and constitution prediction. every one bankruptcy is a self contained evaluation overlaying definition of the matter and ancient viewpoint; mathematical formula; computational tools and algorithms; functionality effects; latest software program; strengths, pitfalls, demanding situations, and destiny examine.

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Extra info for Computational Methods for Protein Structure Prediction and Modeling 1: Basic Characterization (Biological and Medical Physics, Biomedical Engineering)

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Rosetta has also been further refined and extended to related prediction tasks, namely, docking on predicted interactions (see below). Zhang and Skolnick developed TASSER, a threading template assembly/refinement approach, for ab initio prediction of protein structures (Zhang and Skolnick, 2004). The test of TASSER on a comprehensive benchmark set of 1489 single-domain proteins in the Protein Data Bank (PDB) with length below 200 residues showed that 990 targets could be folded by TASSER with an RMSD < ˚ in at least one of the top five models.

It is therefore very important to study the detailed structural differences associated with mutations and sequence differences among families. For example, homology modeling (Lee, 1995) and molecular dynamics (MD) were used for studying the consequences of mutations (see the section “Molecular Dynamics Simulations of Membrane Proteins”). , 2004). In comparative modeling, an issue has been that a given protein model is frequently more similar to the template(s) used for modeling than to the target protein’s native structure.

1998). Intermolecular NOEs and residual dipolar couplings (RDCs) were combined to solve the structure of the EIN–HPr complex (Clore, 2000). TreeDock (Fahmy and Wagner, 2002) enumerates the search space at a user-defined resolution subject to the condition that a pair of atoms, one from each molecule, are always in contact, which can be in principle derived from NMR chemical shift perturbation or mutagenesis data. Dominguez et al. (2003) developed an approach called HADDOCK (High Ambiguity Driven protein–protein Docking), which makes use of biochemical and/or biophysical interaction data such as chemical shift perturbation data resulting SVNY330-Xu-Vol-I November 2, 2006 16:58 1.

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