Bioinformatics allows researchers to answer biological questions with advanced computational methods which involves the application of statistics and mathematical modeling. Structural bioinformatics enables the prediction and analysis of 3D structures of macromolecules while Computer Aided Drug Designing (CADD) assists scientists to design effective active molecules against diseases. However, the concepts in structural bioinformatics and CADD can be complex to understand for students and educated laymen. This quick guideline is intended as a basic manual for beginner students and instructors involved in bioinformatics and computational chemistry courses. Readers will learn the basics of structural bioinformatics, primary and secondary analysis and prediction, structural visualization, structural analysis and molecular docking. The book provides the reader an easy to read summary of the tools and techniques in structural bioinformatics as well as their limitations. In this revised edition, the authors have updated information in a number of chapters with a specific focus on the section on protein structure visualization and evaluation. Additional information on protein-ligand interaction studies has also been provided in this new edition. Therefore, the book is a useful handbook for aspiring scholars who wish to learn the basic concepts in computational analysis of biomolecules.

Bioinformatics allows researchers to answer biological questions with advanced computational methods which involves the application of statistics and mathematical modeling. Structural bioinformatics enables the prediction and analysis of 3D structures of macromolecules while Computer Aided Drug Designing (CADD) assists scientists to design effective active molecules against diseases. However, the concepts in structural bioinformatics and CADD can be complex to understand for students and educated laymen. This quick guideline is intended as a basic manual for beginner students and instructors involved in bioinformatics and computational chemistry courses. Readers will learn the basics of structural bioinformatics, primary and secondary analysis and prediction, structural visualization, structural analysis and molecular docking. Therefore, the book is a useful handbook for aspiring scholars who wish to learn the basic concepts in computational analysis of biomolecules.

Advances in Biobanking Practice Through Public and Private Collaborations presents an analysis of methods and current models of partnership between public and private organizations designed to improve biobanking practices in European countries. Chapters describe the state-of-the-art of public-private collaborations in biobanking on a global scale, innovative approaches to public-private partnership the role of a quality management system in biobanking collaborations, quality standard criteria specifically shaped for tumor biobanks, theoretical and practical access conditions to biobanks, the general legal framework governing biobanks at national, European and international levels and a concrete public-private partnership model for managing sample requests. The contributions in this book include examples of established biobanking institutions (such as Spanish National Cancer Research Centre, National Institute of Health, Italy, and 3C-R, France among others) which serve to give readers a concrete perspective on current biobanking practices and relevant legal and ethical issues that shape the field. This book is an ideal handbook for all medical researchers, healthcare professionals and biobanking stakeholders seeking information about international biobanking practices and business models.