Advances in Structural Biology

Applications in Protein Structure, Function, and Disease
Erscheinungsjahr 2026
ISBN: 978-0-443-44988-8
Verlag: Elsevier Science

Buch, Englisch, 400 Seiten, Format (B × H): 191 mm x 235 mm, Gewicht: 449 g

Advances in Structural Biology: From Protein Structures to Function and Disease offers a comprehensive, practical resource that bridges the latest experimental and computational approaches in structural biology. Backed by real-world case studies, the book demonstrates how these technologies can be utilized to serve a range of biological needs. The content spans foundational principles of protein structure and bioinformatics tools, cutting-edge methodologies such as MicroED and Cryo-EM, and the transformative role of artificial intelligence and big data analytics in structural biology. It also considers applications including drug discovery, vaccine development, antiviral therapy, personalized medicine, and the structural basis of aging and neurodegenerative diseases.

Readers will find detailed investigation into the latest developments in structural and computational biology, including insights into integrative methodologies that combine both traditional and emerging technologies. This resource is invaluable for advanced students, researchers, and professionals aiming to harness structural biology for innovative solutions in precision medicine and translational research.

Autoren/Hrsg.

Shamsi, Anas

Hassan, Imtaiyaz

Shahwan, Moyad

Fachgebiete

• Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Bioinformatik
• Naturwissenschaften Biowissenschaften Molekularbiologie

Inhaltsverzeichnis

Section I: Foundations: Computational and Conceptual
1. Unraveling Protein Function with Structural Biology Approaches
2. Bioinformatics Tools for Protein Modeling in Neurodegenerative Diseases
3. Bioinformatics Tools for Protein Modeling in Cancer
4. Unravelling protein folding and structural dynamics

Section II: Methodologies: Experimental and Integrative Techniques
5. Cryo-Electron Microscopy: Unlocking Protein Structures in Disease Biology
6. Computational and AI Methodologies for Big Data Analytics in Structural Biology
7. Big Data Analytics in Structural Biology and Bioinformatics
8. AI and machine learning in structural biology
9. Integrating structural and omics data for drug discovery

Section III: Applications
10. Applications of structural biology in drug discovery
11. Structural biology approaches in vaccine development
12. Structural Insights into Antiviral Drug Design: From Viral Targets to Therapeutic Leads
13. Structural bioinformatics in personalized medicine
14. Structural biology in understanding bacterial resistance
15. Structural biology approaches in Neurodegeneration and Aging
16. Structural biology of protein misfolding and aggregation in disease
17. Integrated structural approaches in immunotherapy

Section IV: Translational Biology
18. Structural and systems biology in cancer therapy
19. Structural biology in precision medicine and clinical translation
20. Future trends in structural biology

Über Autor(innen)

Hassan, Imtaiyaz
Dr. Md. Imtaiyaz Hassan is a renowned structural biologist and drug discovery expert. With over 17 years of distinguished academic and research experience, Dr. Hassan has established himself as a prominent figure in biomedical sciences, with deep expertise in structural biology, protein folding, drug design, and kinase-targeted therapeutics. Prof. Hassan’s research portfolio reflects a profound commitment to the identification and validation of novel drug targets, particularly in the context of cancer and neurodegenerative diseases. His groundbreaking work in structure-based drug design and protein-ligand interactions has significantly advanced the development of selective and potent protein kinase inhibitors. A prolific researcher, Dr. Hassan has authored over 600 peer-reviewed research articles in leading international journals. His work has garnered more than 22,000 citations, and his current h-index stands at an impressive 72, reflecting his global impact in the scientific community. He has led more than 22 funded research projects and continues to make meaningful contributions to cancer biology, structural biochemistry, and therapeutic innovation.

Shahwan, Moyad
Dr. Moyad Shahwan is a professor of Clinical Biochemistry at Ajman University, UAE, with extensive expertise in biochemistry, drug design, molecular modeling, and the biochemical analysis of phytochemicals. He earned his PhD and MSc in Biochemistry from Aligarh University, India. Dr. Shahwan has published over 180 research articles in peer-reviewed journals and supervised more than 37 master's theses. His work has been recognized with multiple awards, including Ajman University's Best Researcher Award in 2021. As the Head of the Centre of Medical and Bio-Allied Health Sciences Research, Dr. Shahwan has led research initiatives and established new research groups and facilities. His deep expertise in clinical and biochemical research, particularly in diabetes mellitus and public health, makes him an invaluable editor for this book.

Shamsi, Anas
Dr. Anas Shamsi is an assistant research professor who leads the structure based drug design and discovery group at Centre of Medical and Bio-allied Health Sciences Research, Ajman University, UAE.

He specializes in computational biochemistry, protein folding, drug design and discovery, and therapeutic interventions for cancer and neurodegenerative diseases. Dr. Shamsi holds a PhD in Biochemistry from Aligarh Muslim University, India, and has contributed to over 150 publications in high-impact journals, with more than 4500 citations. With a strong interest in emerging technologies, he actively explores the integration of artificial intelligence into drug discovery workflows, aiming to accelerate the development of novel therapeutics. Dr. Shamsi is a member of the Royal Society of Biology (FRSB) and American Chemical Society (ACS), and has received numerous accolades, including the prestigious medals for his bachelor's and national level postdoctoral fellowships. With expertise in both experimental and computational approaches, he has secured multiple competitive research grants and awards.