{"product_id":"computer-simulations-of-aggregation-of-proteins-and-peptides-9781071615454","title":"Computer Simulations of Aggregation of Proteins and Peptides","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis 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 Alzheimer''s, Parkinson''s, and preeclampsia. Written in the highly successful \u003ci\u003eMethods in Molecular Biology \u003c\/i\u003eseries 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.\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003eAuthoritative and cutting-edge, \u003ci\u003eComputer Simulations of Aggregation of Proteins and Peptides \u003c\/i\u003eaims to ensure successful results in the further study of this vital field.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e1. Bioinformatics Methods in Predicting Amyloid Propensity of Peptides and Proteins\u003c\/p\u003e  \u003cp\u003eMałgorzata Kotulska and Jakub W. Wojciechowski\u003c\/p\u003e  \u003cp\u003e \u003c\/p\u003e  2. Protocols for Rational Design of Protein Solubility and Aggregation Properties using Aggrescan3D Standalone\u003cp\u003e\u003c\/p\u003e  \u003cp\u003eAleksander Kuriata, Aleksandra E. Badaczewska-Dawid, Jordi Pujols, Salvador Ventura, and Sebastian Kmiecik\u003csup\u003e\u003c\/sup\u003e\u003c\/p\u003e  \u003cp\u003e \u003c\/p\u003e  \u003cp\u003e3. Using Surface Hydrophobicity Together with Empirical Potentials to Identify Protein-Protein Binding Sites. Application to the Interactions of E-cadherins\u003c\/p\u003e  Robert L. Jernigan, Pranav Khade, Ambuj Kumar, and Andrzej Kloczkowski   \u003cp\u003e4. Computational Models for Study of Protein Aggregation\u003c\/p\u003e  \u003cp\u003eNguyen Truong Co, Mai Suan Li, and Pawel Krupa\u003c\/p\u003e  \u003cp\u003e \u003c\/p\u003e  5. Probing Protein Aggregation Using the Coarse-Grained UNRES Force Field Ana V. Rojas, Gia G. Maisuradze, Harold A. Scheraga, and Adam Liwo\u003cp\u003e\u003c\/p\u003e  \u003cp\u003e \u003c\/p\u003e  \u003cp\u003e6. Contact-based Analysis of Aggregation of Intrinsically Disordered Proteins\u003c\/p\u003e  \u003cp\u003eMarek Cieplak, Łukasz Mioduszewski, and Mateusz Chwastyk\u003c\/p\u003e  \u003cp\u003e \u003c\/p\u003e  \u003cp\u003e7. Molecular Insights into the Effect of Metals on Amyloid Aggregation\u003c\/p\u003e  \u003cp\u003eYifat Miller\u003c\/p\u003e  \u003cp\u003e \u003c\/p\u003e  \u003cp\u003e8. From Quantum Mechanics, Classical Mechanics and Bioinformatics to Artificial Intelligence Studies in Neurodegenerative Diseases \u003c\/p\u003e  \u003cp\u003eOrkid Coskuner-Weber, M. Gokhan Habiboglu, David Teplow, and Vladimir N. Uversky\u003c\/p\u003e  \u003cp\u003e\u003csup\u003e \u003c\/sup\u003e\u003c\/p\u003e  \u003cp\u003e9. Computer Simulations Aimed at Exploring Protein Aggregation and\u003cbr\u003e Dissociation\u003c\/p\u003e  Phuong H. Nguyen and Philippe Derreumaux\u003csup\u003e\u003c\/sup\u003e\u003cp\u003e\u003c\/p\u003e  \u003cp\u003e\u003csup\u003e \u003c\/sup\u003e\u003c\/p\u003e  \u003cp\u003e10. All-atom Molecular Dynamics Simulation Methods for Aggregation of Protein and Peptides: Replica-exchange\/permutation and Nonequilibrium Simulations\u003c\/p\u003e  \u003cp\u003eSatoru G. Itoh\u003csup\u003e \u003c\/sup\u003eand Hisashi Okumura\u003csup\u003e\u003c\/sup\u003e\u003c\/p\u003e  \u003cp\u003e \u003c\/p\u003e  \u003cp\u003e11. Key Factors Controlling Fibril Formation of Proteins\u003c\/p\u003e  \u003cp\u003eTran Thi Minh Thu, Andrzej Kloczkowski, Mai Suan Li, and Maksim Kouza\u003csup\u003e\u003c\/sup\u003e\u003c\/p\u003e  \u003cp\u003e\u003csup\u003e \u003c\/sup\u003e\u003c\/p\u003e  \u003cp\u003e12. Determination of the Most Stable Packing Of Peptides From Ribosomal S1 Protein, Protein Bgl2p and Aβ peptide in β-layers during Molecular Dynamics Simulations\u003c\/p\u003e  \u003cp\u003eGlyakina A.V., Balabaev N.K., and Galzitskaya O.V\u003csup\u003e\u003c\/sup\u003e\u003c\/p\u003e  \u003cp\u003e \u003c\/p\u003e  \u003cp\u003e13. Molecular Dynamics Simulations Of Protein Aggregation: Protocols For Simulation Setup and Analysis with Markov State Models And Transition Networks\u003c\/p\u003e  \u003cp\u003e \u003c\/p\u003e  Suman Samantray, Wibke Schumann, Alexander-Maurice Illig, Arghadwip Paul, Bogdan Barz, and Birgit Strodel\u003cp\u003e\u003c\/p\u003e  \u003cp\u003e \u003c\/p\u003e  \u003cp\u003e14. Challenges in Experimental Methods\u003c\/p\u003e  \u003cp\u003eMarlena E. Gąsior-Głogowska, Natalia Szulc, and Monika Szefczyk\u003c\/p\u003e  \u003cp\u003e \u003c\/p\u003e  \u003cp\u003e15. Aggregates Sealed By Ions\u003c\/p\u003e  \u003cp\u003eGiovanni La Penna and Silvia Morante\u003c\/p\u003e  \u003cp\u003e \u003c\/p\u003e  \u003cp\u003e16. Modifying Amyloid Motif Aggregation through Local Structure\u003c\/p\u003e  \u003cp\u003eSofia Bali\u003csup\u003e \u003c\/sup\u003eand Lukasz A. Joachimiak\u003c\/p\u003e  \u003cp\u003e\u003csup\u003e \u003c\/sup\u003e\u003c\/p\u003e  \u003cp\u003e17. Assessing the Stability Of Biological Fibrils By Molecular-Scale Simulations\u003c\/p\u003e  Rodrigo A. Moreira\u003cp\u003e\u003c\/p\u003e  \u003cp\u003e \u003c\/p\u003e  \u003cp\u003e18. Predictive Modeling of Neurotoxic α-Synuclein Polymorphs\u003c\/p\u003e  Liang Xu, Shayon Bhattacharya, and Damien Thompson\u003cp\u003e\u003c\/p\u003e  \u003cp\u003e\u003c\/p\u003e  \u003cp\u003e19. Characterization of Amyloidogenic Peptide Aggregability in Helical Subspace\u003c\/p\u003e  \u003cp\u003eShayon Bhattacharya, Liang Xu, and Damien Thompson\u003c\/p\u003e  \u003cp\u003e \u003c\/p\u003e  \u003cp\u003e20. Exploration of Protein Aggregations in Parkinson’s Disease through Computational Approaches and Big Data Analytics\u003c\/p\u003e  \u003cp\u003eSaba Shahzadi, Muhammad Yasir, Bisma Jawad, Sumbal Baber, Mubashir Hassan\u003c\/p\u003e  \u003cp\u003e\u003csup\u003e \u003c\/sup\u003e\u003c\/p\u003e  \u003cp\u003e21. Computational Studies of Protein Aggregation In Preeclampsia\u003c\/p\u003e  \u003cp\u003eMaksim Kouza, Andrzej Kolinski, Irina Buhimschi, and Andrzej Kloczkowski\u003csup\u003e\u003c\/sup\u003e\u003c\/p\u003e  \u003cp\u003e \u003c\/p\u003e  22. Final remarks\u003cp\u003e\u003c\/p\u003e  \u003cp\u003eMai Suan Li, Andrzej Kloczkowski, Marek Cieplak, and Maksim Kouza\u003c\/p\u003e","brand":"Springer-Verlag New York Inc.","offers":[{"title":"Default Title","offer_id":53186413429079,"sku":"9781071615454","price":143.99,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/computer-simulations-of-aggregation-of-proteins-and-peptides-9781071615454","provider":"Book Curl","version":"1.0","type":"link"}