Biopharmaceutical Informatics

Biopharmaceutical Informatics

Learning to Discover Developable Biotherapeutics

Nixon, Andrew; Kumar, Sandeep

Taylor & Francis Ltd

01/2025

370

Dura

9781032291673

Pré-lançamento - envio 15 a 20 dias após a sua edição

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Foreword
Preface
About the editors
List of contributors

1. Biopharmaceutical Informatics: An Introduction

2. Digital transformation in the biopharmaceutical industry: rebuilding the way we discover complex therapeutics

3. Computational protein design strategies for optimization of antigen generation to drive antibody discovery

4. Bioinformatic Analyses of Antibody Repertoires and Their Roles in Modern Antibody Drug Discovery

5. Applications of Artificial Intelligence and Machine Learning Towards Antibody Discovery and Development

6. From Deep Generative Models to Structure-Based Simulations: Computational Approaches for Antibody Design

7. Computational biophysical analyses of antibody structure-function relationships with emphasis on therapeutic antibody-based biologics

8. Use of molecular simulations to understand structural dynamics of antibodies

9. Considerations of developability during the early stages of antibody drug discovery and design

10. In Silico Approaches to Deliver Better Antibodies by Design - The Past, the Present and the Future

11. Use of systems biology approaches towards target discovery, validation, and drug development

12. Recent advances in PK/PD and Quantitative Systems Pharmacology (QSP) models for biopharmaceuticals

13. The Artificial Intelligence Revolution: Transforming the Design and Optimization of Multispecific Antibodies

Index.
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Biopharmaceuticals;Artificial Intelligence and machine learning in drug discovery;Structure-based affinity maturation;Computational methodologies and biophysical techniques;Cost effective drug discovery and development of biotherapeutics;Computational protein design strategies