Computational Methods in Protein Evolution
| 団体著者: | |
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| その他の著者: | |
| 要約: | XIII, 420 p. 103 illus., 80 illus. in color. text |
| 言語: | 英語 |
| 出版事項: |
New York, NY :
Springer New York : Imprint: Humana,
2019.
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| 版: | 1st ed. 2019. |
| シリーズ: | Methods in Molecular Biology,
1851 |
| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1007/978-1-4939-8736-8 |
| フォーマット: | 電子媒体 図書 |
目次:
- Predicting the Effect of Mutations on Protein Folding and Protein-Protein Interactions
- Accurate Calculation of Free Energy Changes Upon Amino Acid Mutation
- Protocols for the Molecular Evolutionary Analysis of Membrane Protein Gene Duplicates
- Computational Prediction of De Novo Emerged Protein-Coding Genes
- Coevolutionary Signals and Structure-Based Models for the Prediction of Protein Native Conformations
- Detecting Amino Acid Coevolution with Bayesian Graphical Models
- Context-Dependent Mutation Effects in Proteins
- High-Throughput Reconstruction of Ancestral Protein Sequence, Structure, and Molecular Function
- Ancestral Sequence Reconstruction as a Tool for the Elucidation of a Stepwise Evolutionary Adaptation
- Enhancing Statistical Multiple Sequence Alignment and Tree Inference using Structural Information
- The Influence of Protein Stability on Sequence Evolution: Applications to Phylogenetic Inference
- Navigating Among Known Structures in Protein Space
- A Graph-Based Approach for Detecting Sequence Homology in Highly Diverged Repeat-Protein Families
- Exploring Enzyme Evolution from Changes in Sequence, Structure, and Function
- Identification of Protein Homologs and Domain Boundaries by Iterative Sequence Alignment
- A Roadmap to Domain Based Proteomics
- Modelling of Protein Tertiary and Quaternary Structures Based on Evolutionary Information
- Interface-Based Structural Prediction of Novel Host-Pathogen Interactions
- Predicting Functions of Disordered Proteins with MoRFpred
- Exploring Protein Conformational Diversity
- High-Throughput Antibody Structure Modelling and Design using ABodyBuilder
- In Silico Directed Evolution using CADEE.