From protein structure to function with bioinformatics

• Other Authors: Rigden, Daniel John
• Format: Book
• Language: English
• Published: Springer 2020
• Subjects: Proteins > Structure-activity relationships > Research > Methodology ; Proteins > Structure > Research > Methodology ; Proteins > Structure > Computer simulation ; Bioinformatics ; Protein - Mối quan hệ hoạt động cấu trúc > Nghiên cứu - Phương pháp ; Protein > Cấu trúc > Nghiên cứu > Phương pháp ; Protein - Cấu trúc - Mô phỏng máy tính ; Tin sinh học; 572.633 FRO 2017
• Online Access: http://repository.vnu.edu.vn/handle/VNU_123/90747
• Institution: Vietnam National University, Hanoi

This book is about protein structural bioinformatics and how it can help understand and predict protein function. It covers structure-based methods that can assign and explain protein function based on overall folds, characteristics of protein surfaces, occurrence of small 3D motifs, protein-protein interactions and on dynamic properties. Such methods help extract maximum value from new experimental structures, but can often be applied to protein models. The book also, therefore, provides comprehensive coverage of methods for predicting or inferring protein structure, covering all structural classes from globular proteins and their membrane-resident counterparts to amyloid structures and intrinsically disordered proteins. The book is split into two broad sections, the first covering methods to generate or infer protein structure, the second dealing with structure-based function annotation. Each chapter is written by world experts in the field.