Introduction to Structural Bioinformatics

Nyhet

Häftad, Engelska, 2026

1 259 kr

Kommande

Introduction to Structural Bioinformatics offers a complete overview on the fundamental concepts and methodologies of structural bioinformatics and computational structural biology. The book is divided into three sections, beginning with a discussion of the key principles of bioinformatics and fundamental aspects, including bioinformatics databases, multiple sequence alignment, and machine learning. Section two then moves on to structural bioinformatics, where topics include Monte Carlo simulation, protein structure prediction, RNA structure prediction, and protein design. The final section of the book focuses on experimental structural determination, where chapters focus on techniques including X-ray crystallography, nuclear magnetic resonance and cryo-electron microscopy.

This is an ideal guide on key principles, methods, and the most up-to-date developments across structural bioinformatics and computational structural biology. It will be a comprehensive reference for postgraduate students, instructors, and researchers working in these and adjacent subjects.

Discusses cutting-edge AI and deep-learning techniques, including AlphaFold and D-I-TASSER, along with their impact on structural bioinformatics
Explores protein and RNA structure prediction
Considers the most recent advances in the field as well as more classical physics-based approaches
Features chapter outlines, definitions, key learning objectives, and case studies throughout the book to aid comprehension

Produktinformation

Utgivningsdatum2026-11-01
Mått216 x 276 x undefined mm
Vikt450 g
FormatHäftad
SpråkEngelska
Antal sidor350
FörlagElsevier Science
ISBN9780443337659

Tillhör följande kategorier

Biovetenskap inom Naturvetenskap och teknik

Dr Yang Zhang is Professor in the Department of Computer Science, School of Computing, National University of Singapore (NUS). He also serves as Professor and Senior Principal Investigator in the Department of Biochemistry at School of Medicine, NUS, and Cancer Science Institute of Singapore, respectively. Prior to this, Dr Zhang worked as Professor in the Department of Computational Medicine and Bioinformatics and the Department of Biological Chemistry, University of Michigan. Dr Zhang has been teaching graduate courses in bioinformatics for more than a decade. His research interests are in artificial intelligence, deep neural network learning, protein folding, structure prediction, and protein design and engineering. Dr. Zhang is the inventor of many fundamental concepts and methods in structural bioinformatics, including TM-score, TM-align, I-TASSER, and QUARK. Dr. Zhang has received honours including the Alfred P Sloan Award, US NSF Career Award, ASBMB DeLano Award, and University of Michigan Basic Science Research Award. Dr. Jun Hu obtained his Ph.D. in Control Science and Engineering from Nanjing University of Science and Technology. He served as an Associate Professor of Bioinformatics at Zhejiang University of Technology from 2018 to 2023 and has been a Research Associate Professor of AI and Bioinformatics at the Suzhou Institute of Systems Biology since 2024. His research focuses on deep learning-based protein structure and function prediction. He has authored over 40 peer-reviewed publications, including 18 as first and/or corresponding author. His work includes widely used open-source algorithms in structural bioinformatics, such as LS-align, ATPdock, and RLEAAI, for ligand structure alignment, protein–ATP docking, and antibody–antigen interaction prediction, respectively.

Part 1: Bioinformatics Basics1. Bioinformatics databases2. Pairwise sequence alignments and database search3. Evolution and phylogenetic tree4. Multiple sequence alignments5. Machine learning and deep neural-network learningPart 2: Structural Bioinformatics6. Protein structure alignments7. Monte Carlo simulation and local energy minimization8. Protein structure prediction9. RNA structure prediction10. Quaternary structure prediction11. Function annotations12. Protein designPart 3: Experimental Structural Determination13. Principle of X-ray crystallography and molecular replacement14. Introduction to nuclear magnetic resonance15. Cryo-electron microscopy for protein structure determination