Mathematical methods for protein structure analysis and design : C.I.M.E. Summer School, Martina Franca, Italy, July 9-15, 2000 : advanced lectures
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 f...
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| Другие авторы: | , |
| Формат: | Livre numérique |
| Язык: | Anglais |
| Опубликовано: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Серии: | Lecture notes in computer science. Lecture notes in bioinformatics
2666 |
| Предметы: | |
| Online-ссылка: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Примечание: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Mathematical methods for protein structure analysis and design, C.I.M.E. Summer School, Martina Franca, Italy, July 9-15, 2000, advanced lectures, [Concettina Guerra, Sorin Istrail (eds.)], Berlin, Springer, 2003, 1 vol. (XI-157 p.), Lecture notes in computer science, 3-540-40104-0 • Mathematical Methods for Protein Structure Analysis and Design, Texte imprimé, 9783662192887 |
Оглавление:
- Protein 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.