LEADER 05632nam 22008055 450 001 996466356503316 005 20200630062606.0 010 $a3-540-44827-6 024 7 $a10.1007/b11686 035 $a(CKB)1000000000212018 035 $a(SSID)ssj0000324684 035 $a(PQKBManifestationID)11239161 035 $a(PQKBTitleCode)TC0000324684 035 $a(PQKBWorkID)10319251 035 $a(PQKB)10402029 035 $a(DE-He213)978-3-540-44827-3 035 $a(MiAaPQ)EBC3088392 035 $a(PPN)155191918 035 $a(EXLCZ)991000000000212018 100 $a20121227d2003 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aMathematical Methods for Protein Structure Analysis and Design$b[electronic resource] $eAdvanced Lectures /$fedited by Concettina Guerra, Sorin Istrail 205 $a1st ed. 2003. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2003. 215 $a1 online resource (XI, 157 p.) 225 1 $aLecture Notes in Bioinformatics ;$v2666 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-40104-0 320 $aIncludes bibliographical references and index. 327 $aProtein Structure Comparison: Algorithms and Applications -- Spatial Pattern Detection in Structural Bionformatics -- Geometric Methods for Protein Structure Comparison -- Identifying Flat Regions and Slabs in Protein Structures -- OPTIMA: A New Score Function for the Detection of Remote Homologs -- A Comparison of Methods for Assessing the Structural Similarity of Proteins -- Prediction of Protein Secondary Structure at High Accuracy Using a Combination of Many Neural Networks -- Self-consistent Knowledge-Based Approach to Protein Design -- Protein Structure from Solid-State NMR -- Learning Effective Amino-Acid Interactions -- Proteinlike Properties of Simple Models. 330 $aThe papers collected in this volume reproduce contributions by leading sch- arstoaninternationalschoolandworkshopwhichwasorganizedandheldwith thegoaloftakinga snapshotofadiscipline undertumultuous growth. Indeed, the area of protein folding, docking and alignment is developing in response to needs for a mix of heterogeneous expertise spanning biology, chemistry, mathematics, computer science, and statistics, among others. Some of the problems encountered in this area are not only important for the scienti?c challenges they pose, but also for the opportunities they disclose intermsofmedicalandindustrialexploitation. Atypicalexampleiso?eredby protein-drug interaction (docking), a problem posing daunting computational problems at the crossroads of geometry, physics and chemistry, and, at the same time, a problem with unimaginable implications for the pharmacopoeia of the future. The schoolfocused on problems posed by the study of the mechanisms - hind protein folding, and explored di?erent ways of attacking these problems under objective evaluations of the methods. Together with a relatively small core of consolidated knowledge and tools, important re?ections were brought to this e?ort by studies in a multitude of directions and approaches. It is obviously impossible to predict which, if any, among these techniques will prove completely successful, but it is precisely the implicit dialectic among them that best conveys the current ?avor of the ?eld. Such unique diversity and richness inspired the format of the meeting, and also explains the slight departure of the present volume from the typical format in this series: the exposition of the current sediment is complemented here by a selection of quali?ed specialized contributions. 410 0$aLecture Notes in Bioinformatics ;$v2666 606 $aMathematics 606 $aAlgorithms 606 $aComputer science?Mathematics 606 $aDatabase management 606 $aComputer graphics 606 $aOptical data processing 606 $aMathematics, general$3https://scigraph.springernature.com/ontologies/product-market-codes/M00009 606 $aAlgorithm Analysis and Problem Complexity$3https://scigraph.springernature.com/ontologies/product-market-codes/I16021 606 $aDiscrete Mathematics in Computer Science$3https://scigraph.springernature.com/ontologies/product-market-codes/I17028 606 $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024 606 $aComputer Graphics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22013 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 615 0$aMathematics. 615 0$aAlgorithms. 615 0$aComputer science?Mathematics. 615 0$aDatabase management. 615 0$aComputer graphics. 615 0$aOptical data processing. 615 14$aMathematics, general. 615 24$aAlgorithm Analysis and Problem Complexity. 615 24$aDiscrete Mathematics in Computer Science. 615 24$aDatabase Management. 615 24$aComputer Graphics. 615 24$aImage Processing and Computer Vision. 676 $a572/.633/015118 702 $aGuerra$b Concettina$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aIstrail$b Sorin$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996466356503316 996 $aMathematical methods for protein structure analysis and design$9955129 997 $aUNISA