Biopharmaceutical Informatics: Learning to Discover Developable Biotherapeutics
eBook 정보
This unique volume describes ways to invent and commercialize biomedicines more efficiently:
- Calls for digital transformation of biopharmaceutical industry by appropriately collecting, curating, and making available discovery and pre-clinical development project data using FAIR principles
- Describes applications of artificial intelligence and machine learning (AIML) in discovery of antibodies in silico (DAbI) starting with antigen design, constructing inherently developable antibody libraries, finding hits, identifying lead candidates, and optimizing them
- Details applications of AIML, physics-based computational design methods, and other bioinformatics tools in fields such as developability assessments, formulation and excipient design, analytical and bioprocess development, and pharmacology
- Presents pharmacokinetics/pharmacodynamics (PK/PD) and Quantitative Systems Pharmacology (QSP) models for biopharmaceuticals
- Describes uses of AIML in bispecific and multi-specific formats
Dr Sandeep Kumar has also edited a collection of articles dedicated to this topic which can be found in the Taylor and Francis journal mAbs.
저자 정보
Dr. Sandeep Kumar is currently a Distinguished Fellow (Executive Director) at the department of Computational Science in Moderna Therapeutics, Cambridge, MA where he leads Molecular Design and Modeling team. Sandeep Kumar holds a Ph.D. in Computational Biophysics and has over 25 years of experience researching protein structure – Function relationships. Sandeep Kumar has so far contributed towards more than 100 research articles, reviews, book chapters, and has previously edited a book entitled “Developability of Biotherapeutics: Computational Approaches”. Sandeep has been contributing towards discovery and development of numerous monoclonal antibodies, antibody drug conjugates, bispecific and multi-specific modalities, as well as vaccines. Based on the insights gained from these experiences, Sandeep has been advocating for Biopharmaceutical Informatics, a strategic vision dedicated to synergistic use of computation and experimentation towards a cost effective and more efficient discovery and development of Biotherapeutics. More recently, he is promoting the concept of DAbI (Discovery of Antibodies in silico) where he sees an opportunity for generative AI to not only accelerate biopharmaceutical drug design but also to expand the antigen space druggable by antibody-based biotherapeutics.
Dr. Andrew Nixon is currently Vice President, Biotherapeutics Molecule Discovery at Boehringer Ingelheim Pharmaceuticals, Inc., Ridgefield, CT, USA. Andy earned his Ph.D. in Physical Biochemistry from the University of London for studies completed at the MRC’s National Institute for Medical Research. Andy has over 20 years of experience in biologic drug discovery and has contributed to over 100 antibody discovery programs resulting in numerous clinical candidates and approved biologics including TAKHZYRO, a fully human antibody inhibitor of plasma kallikrein.
