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Computer Simulations of Aggregation of Proteins and Peptides 2022 ed. [Kõva köide]

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  • Formaat: Hardback, 478 pages, kõrgus x laius: 254x178 mm, kaal: 1114 g, 150 Illustrations, color; 7 Illustrations, black and white; XIII, 478 p. 157 illus., 150 illus. in color., 1 Hardback
  • Sari: Methods in Molecular Biology 2340
  • Ilmumisaeg: 16-Feb-2022
  • Kirjastus: Springer-Verlag New York Inc.
  • ISBN-10: 1071615459
  • ISBN-13: 9781071615454
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Computer Simulations of Aggregation of Proteins and Peptides 2022 ed.Suurem pilt
  • Formaat: Hardback, 478 pages, kõrgus x laius: 254x178 mm, kaal: 1114 g, 150 Illustrations, color; 7 Illustrations, black and white; XIII, 478 p. 157 illus., 150 illus. in color., 1 Hardback
  • Sari: Methods in Molecular Biology 2340
  • Ilmumisaeg: 16-Feb-2022
  • Kirjastus: Springer-Verlag New York Inc.
  • ISBN-10: 1071615459
  • ISBN-13: 9781071615454
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781071615454.html
Märksõnad:
This volume provides computational methods and reviews various aspects of computational studies of protein aggregation. Chapters discuss the relationship between protein misfolding and protein aggregation, methods of prediction of aggregation propensities of protein, peptides, protein structure, results of computer simulations of aggregation, and computational simulations focused on specific diseases such as Alzheimers, Parkinsons, and preeclampsia. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.





 





Authoritative and cutting-edge, Computer Simulations of Aggregation of Proteins and Peptides aims to ensure successful results in the further study of this vital field.
Bioinformatics Methods in Predicting Amyloid Propensity of Peptides and
Proteins.- Protocols for Rational Design of Protein Solubility and
Aggregation Properties using Aggrescan3D Standalone.- Using Surface
Hydrophobicity Together with Empirical Potentials to Identify Protein-Protein
Binding Sites. Application to the Interactions of E-cadherins.- Computational
Models for Study of Protein Aggregation.- Probing Protein Aggregation Using
the Coarse-Grained UNRES Force Field.- Contact-based Analysis of Aggregation
of Intrinsically Disordered Proteins.- Molecular Insights into the Effect of
Metals on Amyloid Aggregation.- From Quantum Mechanics, Classical Mechanics
and Bioinformatics to Artificial Intelligence Studies in Neurodegenerative
Diseases.- Computer Simulations Aimed at Exploring Protein Aggregation
and Dissociation.- All-atom Molecular Dynamics Simulation Methods for
Aggregation of Protein and Peptides: Replica-exchange/permutationand
Nonequilibrium Simulations.- Key Factors Controlling Fibril Formation of
Proteins- Determination of the Most Stable Packing Of Peptides From Ribosomal
S1 Protein, Protein Bgl2p and A peptide in -layers during Molecular
Dynamics Simulations.- Molecular Dynamics Simulations Of Protein Aggregation:
Protocols For Simulation Setup and Analysis with Markov State Models And
Transition Networks.- Challenges in Experimental Methods.- Aggregates Sealed
By Ions.- Modifying Amyloid Motif Aggregation through
Local Structure.- Assessing the Stability Of Biological Fibrils By
Molecular-Scale Simulations.- Predictive Modeling of Neurotoxic -Synuclein
Polymorphs.- Characterization of Amyloidogenic Peptide Aggregability in
Helical Subspace.- Exploration of Protein Aggregations in Parkinsons Disease
through Computational Approaches and Big Data Analytics.- Computational
Studies of Protein Aggregation In Preeclampsia.- Final remarks.