Overview

Protein Structure Prediction and Analysis, Volume 146 offers a comprehensive exploration of the methodologies, tools, and techniques utilized in the prediction and analysis of protein structures. The book delves into the fundamental principles of protein folding, modeling, and computational simulations, providing insights into the intricate process of predicting the three-dimensional structures of proteins. Sections in this new release include coverage of Current approaches for protein structure prediction and design, Protein Modelling, Prediction servers and applications in molecular modelling, Toward accurate in silico prediction of antigen binding affinities in antibody engineering, Molecular Blueprints: Guiding Drug Discovery through Protein Structure Analysis, and much more. Additional sections focus on Protein Structure Prediction Using Dynamic Speciation Evolutionary Algorithm with Problem Information Aggregation, Tau protein structure and dynamics, Tau interacts with G-protein coupled receptors (GPCRs), How to accurately predict nanobody structure: Classical physics-based simulations or deep learning approaches, Medicinal Chemistry-based Novel Therapeutics for Tauopathies in Alzheimer’s Disease, Mapping the Pathogenic Nexus: Gene Overlap and Protein Interaction Networks in Alzheimer's and Breast Cancer as a Precursor to Protein Structure Prediction and Analysis, and much more.

Full Product Details

Author:   Rossen Donev (Head of Research, MicroPharm Limited, UK)
Publisher:   Elsevier Science Publishing Co Inc
Imprint:   Academic Press Inc
Weight:   0.450kg
ISBN:  

9780443294129

ISBN 10:   0443294127
Pages:   488
Publication Date:   01 September 2025
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Forthcoming
Availability:   Not yet available  
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

1. Current approaches for protein structure prediction and design George Priya Doss Priya Doss C 2. Protein Modelling, Prediction servers and applications in molecular modelling Selvaraj Chandrabose Sr. 3. Toward accurate in silico prediction of antigen binding affinities in antibody engineering Seyit Kale, Sibel Kalyoncu Uzunlar, Hatice Döşeme, Merve Arslan and Tuğçe Uluçay 4. Molecular Blueprints: Guiding Drug Discovery through Protein Structure Analysis Dileep Francis 5. Protein Structure Prediction Using Dynamic Speciation Evolutionary Algorithm with Problem Information Aggregation Rafael Stubs Parpinelli Sr. 6. Tau protein structure and dynamics Subashchandrabose Chinnathambi, Gowshika Velmurugan and Madhura Chandrashekar 7. Tau interacts with G-protein coupled receptors (GPCRs) Subashchandrabose Chinnathambi, Madhura Chandrashekar, Gowshika Velmurugan, Vaishnavi Ananthanaraya and Nagaraj Rangappa 8. How to accurately predict nanobody structure: Classical physics-based simulations or deep learning approaches Weiwei Xue 9. Medicinal Chemistry-based Novel Therapeutics for Tauopathies in Alzheimer’s Disease Subashchandrabose Chinnathambi, Sneha Malik, Madhura Chandrashekar and Murugappan Kumurappan 10. Mapping the Pathogenic Nexus: Gene Overlap and Protein Interaction Networks in Alzheimer's and Breast Cancer as a Precursor to Protein Structure Prediction and Analysis Vinoth Kumar Raja 11. Predicting protein structural insight changes upon hotspot mutations of ERBB2 gene affecting NSCLC George Priya Doss Priya Doss C 12. Computational Modeling of RET Hotspot Mutations in the NSCLC: Impact on Protein Structure, Dynamics, and Stability George Priya Doss Priya Doss C 13. Deciphering the Impact of Genetic Variants of Unknown Significance in Inherited Retinal Disease Through Computational and Functional Approaches Esther E. Biswas-Fiss, Senem Cevik, Jazzlyn Jones and Subhasis Biswas 14. The structure-based approaches to computing viral fitness Rukmankesh Mehra and Shivani Thakur 15. Structural Insights from Neuraminidase Diversity: Implications for Selectivity in Anti-Infective and Anticancer Strategies Ciro Leonardo Pierri 16. Machine learning and molecular modeling based design of nanobodies targeting human serotonin transporter and receptor Weiwei Xue and Binbin Xu 17. Tau proteostasis in Alzheimer’s Disease Subashchandrabose Chinnathambi 18. SUMO inhibits Tau aggregation in Alzheimer's disease Subashchandrabose Chinnathambi and Nagaraj Rangappa 19. Apolipoprotein E and Tau Interaction in Alzheimer's disease Subashchandrabose Chinnathambi, Anusree Adithyan, Madhura Chandrashekar and Hariharakrishnan Chidambaram 20. Cholesterol metabolism regulates Tauopathy in Alzheimer's disease Subashchandrabose Chinnathambi, Anusree Adithyan and Madhura Chandrashekar

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Author Information

Rossen Donev received his PhD degree in 1999 from the Institute of Molecular Biology, Bulgarian Academy of Sciences. He did postdoctoral training at Imperial Cancer Research Fund, UK (renamed after the merger with Cancer Research Campaign to Cancer Research UK, London Research Institute) and Cardiff University. In 2007 he was awarded a New Investigator Grant Award from the Medical Research Council (UK) to establish himself as an independent Principle Investigator. In 2010 Dr. Donev was appointed Senior Lecturer at Swansea University. In 2016 Dr. Donev joined MicroPharm Ltd (UK) where currently he is Head of Research. He has published more than 60 research papers, chaired scientific meetings and given invited plenary talks. Rossen Donev has consulted on projects related to development of treatments for neurodevelopmental disorders and cancer therapies. He serves as Editor-in-Chief of the Advances in Protein Chemistry and Structural Biology and on editorial board of several other journals. His research interests include signaling pathways involved in neuropsychiatric disorders and tumor escape from the immune system, and development of therapeutic strategies for their treatment. More recently he has focused on development of immunotherapeutics for non-systemic applications.

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