Download Computational Structural Biology: Methods and Applications by Torsten Schwede, Torsten Schwede, Manuel C. Peitsch PDF

By Torsten Schwede, Torsten Schwede, Manuel C. Peitsch

ISBN-10: 9812778772

ISBN-13: 9789812778772

Computational structural biology has made super growth over the past twenty years, and this booklet offers a contemporary and extensive assessment of such computational tools in structural biology. It covers the effect of computational structural biology on protein constitution prediction equipment, macromolecular functionality and protein layout, and key equipment in drug discovery. It additionally addresses the computational demanding situations of experimental ways in structural biology. as well as reviewing the present nation of computational structural biology, every one bankruptcy ends with a short, visionary dialogue at the destiny outlook, wherein the most demanding situations for the arriving years are elucidated. Written through a world panel of specialist members, this e-book can function a reference handbook for college students and practitioners alike.

Contents: constitution Prediction and evaluation equipment: Protein Fold popularity and Threading (L J McGuffin); evaluate of Protein constitution Predictions (E Capriotti & M A Marti-Renom); From constitution to operate to layout: Evolution of Protein Folds (A N Lupas & ok ok Koretke); Atomistic Simulations of Reactions and Transition States (M Meuwly); Protein Protein Interactions and Aggregation strategies (R I Dima); Drug Discovery and Pharmacology: MD-Based loose power Simulations (M A Cuendet et al.); Structure-Based Computational techniques to Drug Metabolism (M A Lill); New Frontiers in Experimental tools: New Frontiers in X-ray Crystallography (C U Stirnimann & M G Grütter); New Frontiers in Characterizing constitution and Dynamics by way of NMR (M Nilges et al.); chosen issues: Docking for ignored ailments as neighborhood Efforts (M Podvinec et al.); Protein constitution Databases (M John et al.); Molecular photographs in Structural Biology (A M Lesk et al.); and different chapters.

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Extra resources for Computational Structural Biology: Methods and Applications

Sample text

3. Peitsch MC. (1997) Large scale protein modelling and model repository. Proc Int Conf Intell Syst Mol Biol 5: 234–236. 4. Peitsch MC, Schwede T, Guex N. (2000) Automated protein modelling — the proteome in 3D. Pharmacogenomics 1(3): 257–266. 5. Baker D, Sali A. (2001) Protein structure prediction and structural genomics. Science 294(5540): 93–96. 6. Melo F, Sali A. (2007) Fold assessment for comparative protein structure modeling. Protein Sci 16(11): 2412–2426. 7. Altschul SF, Madden TL, Schaffer AA, et al.

44. Dyson HJ, Wright PE. (2005) Intrinsically unstructured proteins and their functions. Nat Rev Mol Cell Biol 6(3): 197–208. 45. Radivojac P, Iakoucheva LM, Oldfield CJ, et al. (2007) Intrinsic disorder and functional proteomics. Biophys J 92(5): 1439–1456. 46. Fink AL. (2005) Natively unfolded proteins. Curr Opin Struct Biol 15(1): 35–41. 47. Namba K. (2001) Roles of partly unfolded conformations in macromolecular self-assembly. Genes Cells 6(1): 1–12. 48. Tompa P, Csermely P. (2004) The role of structural disorder in the function of RNA and protein chaperones.

Org/ Page 39 The Robetta (47) meta-server for full-chain protein structure prediction. Information regarding the series of CASP assessments. Information regarding the series of LiveBench assessments. 4 However, it is often the case that for many target sequences templates cannot be found using simple sequence searching alone, due to the low sequence identity to any known structure. Fold recognition and threading methods aim to assign folds to target sequences that have very low sequence identity to known structures.

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Computational Structural Biology: Methods and Applications by Torsten Schwede, Torsten Schwede, Manuel C. Peitsch


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