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Protein Structure Prediction and Analysis
- 1st Edition, Volume 146 - July 1, 2025
- Editor: Rossen Donev
- Language: English
- Hardback ISBN:9 7 8 - 0 - 4 4 3 - 2 9 4 1 2 - 9
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 2 9 4 1 3 - 6
Protein Structure Prediction and Analysis, offers a comprehensive exploration of the methodologies, tools, and techniques utilized in the prediction and analysis of protein struct… Read more
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Request a sales quoteProtein Structure Prediction and Analysis, offers a comprehensive exploration of the methodologies, tools, and techniques utilized in the prediction and analysis of protein structures. This 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. From homology modeling to ab initio prediction methods, the text delves into the wide array of predictive algorithms and bioinformatics approaches used to decipher protein structures. Additionally, the book discusses the significance of protein structural analysis in understanding biological functions, drug discovery, and disease mechanisms. With a focus on cutting-edge advancements in the field, this resource serves as a valuable guide for researchers, bioinformaticians, and students seeking to enhance their understanding of protein structure prediction and analysis.
Protein Structure Fundamentals: Comprehensive coverage of the principles and fundamentals underlying protein structure, including amino acid sequence, secondary structure, tertiary structure, and quaternary structure
Prediction Algorithms: Exploration of computational methods, algorithms, and tools used for predicting protein structure, including homology modeling, ab initio methods, and machine learning approaches
Structure Prediction Techniques: Detailed discussion of techniques such as molecular modeling, molecular dynamics simulations, and structural bioinformatics for predicting and analyzing protein structures
Researchers, scientists, and academics, Professionals and students in bioinformatics, Professionals in the pharmaceutical industry
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
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
- No. of pages: 488
- Language: English
- Edition: 1
- Volume: 146
- Published: July 1, 2025
- Imprint: Academic Press
- Hardback ISBN: 9780443294129
- eBook ISBN: 9780443294136
RD
Rossen Donev
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.
Affiliations and expertise
Head of Research, MicroPharm Limited, UK