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Computational Peptide Science = Methods and Protocols /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Computational Peptide Science/ edited by Thomas Simonson.
其他題名:
Methods and Protocols /
其他作者:
Simonson, Thomas.
面頁冊數:
XIII, 427 p. 93 illus., 83 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Life Sciences. -
電子資源:
https://doi.org/10.1007/978-1-0716-1855-4
ISBN:
9781071618554
Computational Peptide Science = Methods and Protocols /
Computational Peptide Science
Methods and Protocols /[electronic resource] :edited by Thomas Simonson. - 1st ed. 2022. - XIII, 427 p. 93 illus., 83 illus. in color.online resource. - Methods in Molecular Biology,24051940-6029 ;. - Methods in Molecular Biology,2540.
Machine Learning Prediction of Antimicrobial Peptides -- Tools for Characterizing Proteins: Circular Variance, Mutual Proximity, Chameleon Sequences and Subsequence Propensities -- Exploring the Peptide Potential Of Genomes -- Computational Identification and Design of Complementary β-strand Sequences -- Dynamics of Amyloid Formation from Simplified Representation to Atomistic Simulations -- Predicting Membrane-Active Peptide Dynamics in Fluidic Lipid Membranes -- Coarse-grain simulations of membrane-adsorbed helical peptides -- Peptide dynamics and metadynamics: leveraging enhanced sampling molecular dynamics to robustly model long-timescale transitions -- Metadynamics Simulations to Study the Structural Ensembles and Binding Processes of Intrinsically Disordered Proteins -- Computational and Experimental Protocols to Study Cyclo-Dihistidine Self- and Co-Assembly: Minimalistic Bio-assemblies with Enhanced Fluorescence and Drug Encapsulation Properties -- Computational Tools and Strategies to Develop Peptide-Based Inhibitors of Protein-Protein Interactions -- Rapid Rational Design of Cyclic Peptides Mimicking Protein-Protein Interfaces -- Structural prediction of peptide-MHC binding modes -- Molecular Simulation of Stapled Peptides -- Free Energy-Based Computational Methods for the Study of Protein-Peptide Binding Equilibria -- Computational Evolution Protocol for Peptide Design.-Computational design of miniprotein binders -- Computational Design of LD Motif-Peptides with Improved Recognition of the Focal Adhesion Kinase FAT Domain -- Knowledge-based unfolded state model for protein design.
This volume details current and new computational methodologies to study peptides. Chapters guide readers through antimicrobial peptides, foldability, amyloid sheet formation, membrane-active peptides, organized peptide assemblies, protein-peptide interfaces, prediction of peptide-MHC complexes, advanced free energy simulations for peptide binding, and methods for high throughput peptide or miniprotein design. Written in the format of the highly successful Methods in Molecular Biology series, each chapter includes an introduction to the topic, lists necessary materials, software, and reagents, includes tips on troubleshooting and known pitfalls, and step-by-step, readily reproducible protocols. Authoritative and cutting-edge, Computational Peptides Science: Methods and Protocols aims to provide concepts, methods, and guidelines to help both novices and experienced workers benefit from today's new opportunities and challenges.
ISBN: 9781071618554
Standard No.: 10.1007/978-1-0716-1855-4doiSubjects--Topical Terms:
593888
Life Sciences.
LC Class. No.: QH324.2-324.25
Dewey Class. No.: 570.285
Computational Peptide Science = Methods and Protocols /
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Machine Learning Prediction of Antimicrobial Peptides -- Tools for Characterizing Proteins: Circular Variance, Mutual Proximity, Chameleon Sequences and Subsequence Propensities -- Exploring the Peptide Potential Of Genomes -- Computational Identification and Design of Complementary β-strand Sequences -- Dynamics of Amyloid Formation from Simplified Representation to Atomistic Simulations -- Predicting Membrane-Active Peptide Dynamics in Fluidic Lipid Membranes -- Coarse-grain simulations of membrane-adsorbed helical peptides -- Peptide dynamics and metadynamics: leveraging enhanced sampling molecular dynamics to robustly model long-timescale transitions -- Metadynamics Simulations to Study the Structural Ensembles and Binding Processes of Intrinsically Disordered Proteins -- Computational and Experimental Protocols to Study Cyclo-Dihistidine Self- and Co-Assembly: Minimalistic Bio-assemblies with Enhanced Fluorescence and Drug Encapsulation Properties -- Computational Tools and Strategies to Develop Peptide-Based Inhibitors of Protein-Protein Interactions -- Rapid Rational Design of Cyclic Peptides Mimicking Protein-Protein Interfaces -- Structural prediction of peptide-MHC binding modes -- Molecular Simulation of Stapled Peptides -- Free Energy-Based Computational Methods for the Study of Protein-Peptide Binding Equilibria -- Computational Evolution Protocol for Peptide Design.-Computational design of miniprotein binders -- Computational Design of LD Motif-Peptides with Improved Recognition of the Focal Adhesion Kinase FAT Domain -- Knowledge-based unfolded state model for protein design.
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