| 청구기호 |
QA612.3 H66 2012 |
| 형태사항 |
xi, 419 p. : ill. (some col.) ; 27 cm.
|
| 총서명 |
Methods in molecular biology, 1064-3745 ; 857
Springer protocols
|
| 언어 |
English |
| 서지주기 |
Includes bibliographical references and index.
|
| 내용 |
Classification of proteins : available structural space for molecular modeling / Antonina Andreeva -- Effective techniques for protein structure mining / Stefan J. Suhrer ... [et al.] -- Methods for sequence-structure alignment / Ceslovas Venclovas -- Force fields for homology modeling / Andrew J. Bordner -- Automated protein structure modeling with SWISS-MODEL workspace and the protein model portal / Lorenza Bordoli and Torsten Schwede -- Practical introduction to molecular dynamics simulations : applications to homology modeling / Alessandra Nurisso, Antoine Daina, and Ross C. Walker -- Methods for accurate homology modeling by global optimization / Keehyoung Joo, Jinwoo Lee, and Jooyoung Lee -- Ligand-guided receptor optimization / Vsevolod Katritch, Manuel Rueda, and Ruben Abagyan -- Loop simulations / Maxim Totrov -- Methods of protein structure comparison / Irina Kufareva and Ruben Abagyan -- Homology modeling of class A G protein-coupled receptors / Stefano Costanzi -- Homology modeling of transporter proteins (carriers and ion channels) / Aina Westrheim Ravna and Ingebrigt Sylte -- Methods for the homology modeling of antibody variable regions / Aroop Sircar -- Investigating protein variants using structural calculation techniques / Jonas Carlsson and Bengt Persson -- Macromolecular assembly structures by comparative modeling and electron microscopy / Keren Lasker ... [et al.] -- Preparation and refinement of model protein-ligand complexes / Andrew J. W. Orry and Ruben Abagyan -- Modeling peptide-protein interactions / Nir London, Barak Raveh, and Ora Schueler-Furman -- Comparison of common homology modeling algorithms : application of user-defined alignments / Michael A. Dolan, James W. Noah, and Darrell Hurt.
|
| 주제 |
Homology theory.
|
| LCCN |
2011945847
|
| ISBN |
9781617795879 (alk. paper) :, 1617795879 (alk. paper)
, 9781617795886 (e-ISBN)
, 1617795887 (e-ISBN)
|
| QR CODE |
|
