Protein Structure Prediction and Analysis
Elsevier (Publisher)
Published on 19. September 2025
488 pages
978-0-443-29413-6 (ISBN)
Description
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
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09/2025
Academic Press
€147.32
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Content
1. Current approaches for protein structure prediction and designGeorge Priya Doss Priya Doss C2. Protein Modelling, Prediction servers and applications in molecular modellingSelvaraj Chandrabose Sr.3. Toward accurate in silico prediction of antigen binding affinities in antibody engineeringSeyit Kale, Sibel Kalyoncu Uzunlar, Hatice Döseme, Merve Arslan and Tugçe Uluçay4. Molecular Blueprints: Guiding Drug Discovery through Protein Structure AnalysisDileep Francis5. Protein Structure Prediction Using Dynamic Speciation Evolutionary Algorithm with Problem Information AggregationRafael Stubs Parpinelli Sr.6. Tau protein structure and dynamicsSubashchandrabose Chinnathambi, Gowshika Velmurugan and Madhura Chandrashekar7. Tau interacts with G-protein coupled receptors (GPCRs)Subashchandrabose Chinnathambi, Madhura Chandrashekar, Gowshika Velmurugan, Vaishnavi Ananthanaraya and Nagaraj Rangappa8. How to accurately predict nanobody structure: Classical physics-based simulations or deep learning approachesWeiwei Xue9. Medicinal Chemistry-based Novel Therapeutics for Tauopathies in Alzheimer's DiseaseSubashchandrabose Chinnathambi, Sneha Malik, Madhura Chandrashekar and Murugappan Kumurappan10. Mapping the Pathogenic Nexus: Gene Overlap and Protein Interaction Networks in Alzheimer's and Breast Cancer as a Precursor to Protein Structure Prediction and AnalysisVinoth Kumar Raja11. Predicting protein structural insight changes upon hotspot mutations of ERBB2 gene affecting NSCLCGeorge Priya Doss Priya Doss C12. Computational Modeling of RET Hotspot Mutations in the NSCLC: Impact on Protein Structure, Dynamics, and StabilityGeorge Priya Doss Priya Doss C13. Deciphering the Impact of Genetic Variants of Unknown Significance in Inherited Retinal Disease Through Computational and Functional ApproachesEsther E. Biswas-Fiss, Senem Cevik, Jazzlyn Jones and Subhasis Biswas14. The structure-based approaches to computing viral fitnessRukmankesh Mehra and Shivani Thakur15. Structural Insights from Neuraminidase Diversity: Implications for Selectivity in Anti-Infective and Anticancer StrategiesCiro Leonardo Pierri16. Machine learning and molecular modeling based design of nanobodies targeting human serotonin transporter and receptorWeiwei Xue and Binbin Xu17. Tau proteostasis in Alzheimer's DiseaseSubashchandrabose Chinnathambi18. SUMO inhibits Tau aggregation in Alzheimer's diseaseSubashchandrabose Chinnathambi and Nagaraj Rangappa19. Apolipoprotein E and Tau Interaction in Alzheimer's diseaseSubashchandrabose Chinnathambi, Anusree Adithyan, Madhura Chandrashekar and Hariharakrishnan Chidambaram20. Cholesterol metabolism regulates Tauopathy in Alzheimer's diseaseSubashchandrabose Chinnathambi, Anusree Adithyan and Madhura Chandrashekar
