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.
Reihe
Sprache
Verlagsort
Verlagsgruppe
Elsevier Science Publishing Co Inc
Zielgruppe
Für Beruf und Forschung
Für höhere Schule und Studium
Maße
Höhe: 229 mm
Breite: 152 mm
Gewicht
ISBN-13
978-0-443-29412-9 (9780443294129)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
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.
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 Doeseme, Merve Arslan and Tugce Ulucay
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
