Homology Modeling
Springer-Verlag New York Inc.
978-1-0716-2976-5 (ISBN)
Authoritative and practical, Homology Modeling: Methods and Protocols serves as an ideal guide to recent homology modeling procedures, assumptions made, and model quality assessment that will illuminate the black box of homology modeling for novice readers and broaden the knowledge of this methodology for professionals.
Homology Modeling in the Twilight Zone: Improved Accuracy by Sequence Space Analysis.- Illuminating the ‘Twilight Zone’: Advances in Difficult Protein Modeling.- Contact-Assisted Threading in Low-Homology Protein Modeling.- Omics and Remote Homology Integration to Decipher Protein Functionality.- Easy not Easy: Comparative Modeling with High Sequence Identity Templates.- Quality Estimates for 3D Protein Models.- Using Local Protein Model Quality Estimates to Guide a Molecular Dynamics Based Refinement Strategy.- Specificities of Modeling of Membrane Proteins Using Multi-Template Homology Modeling.- Homology Modeling of the G Protein-Coupled Receptors.- Modeling of Olfactory Receptors.- Analyses of Mutation Displacements from Homology Models.- Persistent Homology for RNA Data Analysis.- Computational Methods to Predict Intrinsically Disordered Regions and Functional Regions in Them.- Homology Modeling of Transporter Proteins.- Modeling of SARS-CoV-2 Virus Proteins: Implications on Its Proteome.- Homology Modeling of Antibody Variable Regions: Methods and Applications.- 3D-BMPP: 3D Beta-Barrel Membrane Protein Predictor.- Protein Homology Modeling for Effective Drug Design.- Specificities of Protein Homology Modeling for Allosteric Drug Design.- Modeling of Protein Complexes.
Erscheinungsdatum | 28.03.2024 |
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Reihe/Serie | Methods in Molecular Biology |
Zusatzinfo | 87 Illustrations, color; 5 Illustrations, black and white; XIII, 376 p. 92 illus., 87 illus. in color. |
Verlagsort | New York, NY |
Sprache | englisch |
Maße | 178 x 254 mm |
Themenwelt | Mathematik / Informatik ► Informatik ► Theorie / Studium |
Informatik ► Weitere Themen ► Bioinformatik | |
Naturwissenschaften ► Biologie | |
Technik ► Maschinenbau | |
Schlagworte | 3d models • Bioinformatics • Deep learning technology • Protein Modeling • Protein Structure Prediction |
ISBN-10 | 1-0716-2976-X / 107162976X |
ISBN-13 | 978-1-0716-2976-5 / 9781071629765 |
Zustand | Neuware |
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