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Mathematical Methods for Protein Structure Analysis and Design

Advanced Lectures

  • Conference proceedings
  • © 2003

Overview

Editors:
  1. Concettina Guerra

    1. Topic Chairs,  

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  2. Sorin Istrail

    1. Center for Molecular Biology and Computer Sciecne Department, Brown University, USA

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 2666)

Part of the book sub series: Lecture Notes in Bioinformatics (LNBI)

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Table of contents (11 papers)

  1. Front Matter

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  2. Protein Structure Comparison: Algorithms and Applications

    • Giuseppe Lancia, Sorin Istrail
    Pages 1-33

  3. Spatial Pattern Detection in Structural Bionformatics

    • Haim J. Wolfson
    Pages 35-56

  4. Geometric Methods for Protein Structure Comparison

    • Carlo Ferrari, Concettina Guerra
    Pages 57-82

  5. Identifying Flat Regions and Slabs in Protein Structures

    • Mary Ellen Bock, Concettina Guerra
    Pages 83-97

  6. OPTIMA: A New Score Function for the Detection of Remote Homologs

    • Maricel Kann, Richard A. Goldstein
    Pages 99-108

  7. A Comparison of Methods for Assessing the Structural Similarity of Proteins

    • Dean C. Adams, Gavin J. P. Naylor
    Pages 109-115

  8. Prediction of Protein Secondary Structure at High Accuracy Using a Combination of Many Neural Networks

    • Claus Lundegaard, Thomas Nordahl Petersen, Morten Nielsen, Henrik Bohr, Jacob Bohr, Søren Brunak et al.
    Pages 117-122

  9. Self-consistent Knowledge-Based Approach to Protein Design

    • Andrea Rossi, Cristian Micheletti, Flavio Seno, Amos Maritan
    Pages 123-129

  10. Protein Structure from Solid-State NMR

    • John R. Quine, Timothy A. Cross
    Pages 131-137

  11. Learning Effective Amino-Acid Interactions

    • Flavio Seno, Cristian Micheletti, Amos Maritan, Jayanth R. Banavar
    Pages 139-145

  12. Proteinlike Properties of Simple Models

    • Yves-Henri Sanejouand, Georges Trinquier
    Pages 147-153

  13. Back Matter

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Keywords

About this book

The papers collected in this volume reproduce contributions by leading sch- arstoaninternationalschoolandworkshopwhichwasorganizedandheldwith thegoaloftakinga snapshotofadiscipline undertumultuous growth. Indeed, the area of protein folding, docking and alignment is developing in response to needs for a mix of heterogeneous expertise spanning biology, chemistry, mathematics, computer science, and statistics, among others. Some of the problems encountered in this area are not only important for the scienti?c challenges they pose, but also for the opportunities they disclose intermsofmedicalandindustrialexploitation. Atypicalexampleiso?eredby protein-drug interaction (docking), a problem posing daunting computational problems at the crossroads of geometry, physics and chemistry, and, at the same time, a problem with unimaginable implications for the pharmacopoeia of the future. The schoolfocused on problems posed by the study of the mechanisms - hind protein folding, and explored di?erent ways of attacking these problems under objective evaluations of the methods. Together with a relatively small core of consolidated knowledge and tools, important re?ections were brought to this e?ort by studies in a multitude of directions and approaches. It is obviously impossible to predict which, if any, among these techniques will prove completely successful, but it is precisely the implicit dialectic among them that best conveys the current ?avor of the ?eld. Such unique diversity and richness inspired the format of the meeting, and also explains the slight departure of the present volume from the typical format in this series: the exposition of the current sediment is complemented here by a selection of quali?ed specialized contributions.

Editors and Affiliations

  • Topic Chairs,  

    Concettina Guerra

  • Center for Molecular Biology and Computer Sciecne Department, Brown University, USA

    Sorin Istrail

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