Titlebook: Mathematical Methods for Protein Structure Analysis and Design; Advanced Lectures Concettina Guerra,Sorin Istrail Conference proceedings 20

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/m/image/626247.jpg

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Learning Effective Amino-Acid Interactions,Proteins are heteropolymers of 20 amino acids with genetically determined sequences. Most proteins assume specific globular conformations under physiological conditions. Several experiments indicate that this unique native state is thermodynamically stable and encoded unambiguously by the sequence of amino acids [1].

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Proteinlike Properties of Simple Models,During the last decade, it has been shown that several properties of natural proteins can be captured by simple models, such as 2-D or 3-D lattice models [1, 2, 5, 6, 9, 11, 13]. In these models, the protein is figured as a chain of beads occupying the sites of a lattice in a self avoiding way.

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Mathematical Methods for Protein Structure Analysis and Design978-3-540-44827-3Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Geometric Methods for Protein Structure Comparison,. As proteins fold in three dimensional space, assuming a variety of shapes, a careful characterization of their geometry is needed to study their function which is known to be related to the shape. Moreover, the comparison of protein structures is essential to infer evolutionary information.

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Protein Structure Comparison: Algorithms and Applications,l, three dimensional shape. Such shape (3D structure) is perhaps the most important of all protein’s features, since it determines completely how the protein functions and interacts with other molecules. Most biological mechanisms at the protein level are based on shape-complementarity, so that prot

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Spatial Pattern Detection in Structural Bionformatics, Processing ([29]), Classification of Anatomical Form ([7]) and more. In the last decade a new major application of 3D geometric pattern discovery has emerged in the rapidly developing field of Bioinformatics ([60]), which is dealing with the development of algorithms for Molecular Biology applicati