Khan / Pazos | Protein Evolution | Buch | 978-1-0716-4827-8 | www.sack.de

Buch, Englisch, 320 Seiten, Format (B × H): 183 mm x 260 mm, Gewicht: 821 g

Reihe: Methods in Molecular Biology

Khan / Pazos

Protein Evolution

Methods and Protocols
Erscheinungsjahr 2025
ISBN: 978-1-0716-4827-8
Verlag: Springer

Methods and Protocols

Buch, Englisch, 320 Seiten, Format (B × H): 183 mm x 260 mm, Gewicht: 821 g

Reihe: Methods in Molecular Biology

ISBN: 978-1-0716-4827-8
Verlag: Springer


This volume details computational tools for the study of protein evolution based on 1D-sequence and 3D-structure databases. Chapters guide readers through the analysis of 1D protein sequences for coevolutionary fold prediction, protein-nucleic acid interactions, distant homologs and functional motifs, characterization of fold energetics, disordered proteins, mutagenesis-driven modulation of conformational landscapes, 3D protein domains, prediction of 3D protein-protein interactions, and hybrid methods that mine both 1D and 3D genomic and protein databases for gene editing and alternative splicing. Written in the highly successful series format, the chapters include brief introductions to the material, lists of necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and a Notes section which highlights tips on troubleshooting and avoiding known pitfalls.

Authoritative and cutting-edge, aims to be comprehensive guide for researchers in the field.

Khan / Pazos Protein Evolution jetzt bestellen!

Zielgruppe


Professional/practitioner

Weitere Infos & Material


Distant Homology BLASTP Searches identify Neuropeptide Counterparts across Species.- Predicting Protein Folding Dynamics using Sequence Information.- Predictive Model for Single-site Mutations that change Intrinsically Disordered Protein Binding Energetics.- Detection of Specificity-determining Positions in Protein Families.- Co-Var, a measure to determine intra-protein, inter-protein, protein-DNA or protein-RNA co-evolution.- adabmDCA 2.0 – A flexible but easy-to-use package for direct coupling analysis.- Unlocking Protein Evolution Insights: Efficient and Interpretable Mutational Effect Predictions with GEMME.- Using Total Network Dissimilarity to Analyze Protein Structures across Homologs.- Allosteric Network Analysis Toolkit for Single-Domain PhosphoProteins.- Computational identification of potential shape-shifting proteins from structures.- Transition state-based computational enzyme design.- Quantification of conformational changes of kinase regulators, kinases and regulator - kinase complexes using the TSR algorithm.- Identifying functional Water Encapsulation Sites within the Transmembrane Domain of Sensor Kinases.- Protein-Protein Interaction Site Prediction via EquiPPIS and its Application in Studying Viral Replication.- Modeling protein-protein complexes by combining pyDock and AlphaFold.- Binding affinity prediction of membrane protein-protein complexes using MPA-Pred.- Computational Methods to Engineer Cas Proteins for Efficient Genome Editing.- Exploring the Functional Consequences of Protein-Coding Alternative Splice Variants at a Genome scale: A Guide to Utilizing Expansion.



Ihre Fragen, Wünsche oder Anmerkungen
Vorname*
Nachname*
Ihre E-Mail-Adresse*
Kundennr.
Ihre Nachricht*
Lediglich mit * gekennzeichnete Felder sind Pflichtfelder.
Wenn Sie die im Kontaktformular eingegebenen Daten durch Klick auf den nachfolgenden Button übersenden, erklären Sie sich damit einverstanden, dass wir Ihr Angaben für die Beantwortung Ihrer Anfrage verwenden. Selbstverständlich werden Ihre Daten vertraulich behandelt und nicht an Dritte weitergegeben. Sie können der Verwendung Ihrer Daten jederzeit widersprechen. Das Datenhandling bei Sack Fachmedien erklären wir Ihnen in unserer Datenschutzerklärung.