Protein Structure Prediction and Analysis

Rossen Donev

Sep 2025 · Advances in Protein Chemistry and Structural Biology Book 147 · Academic Press

Ebook

488

Pages

Eligible

This book will become available on September 1, 2025. You will not be charged until it is released.

About this ebook

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. - Provides comprehensive coverage on the principles and fundamentals underlying protein structure, including amino acid sequence, secondary structure, tertiary structure, and quaternary structure - Explores computational methods, algorithms, and tools used for predicting protein structure, including homology modeling, ab initio methods, and machine learning approaches - Includes detailed discussions on techniques such as molecular modeling, molecular dynamics simulations, and structural bioinformatics for predicting and analyzing protein structures

About the author

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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