‘Developability of Biotherapeutics: Computational Approaches presents the most extensive and systematic overview to date, of modern computational approaches that are being used industrially to assess potential manufacturability and overall ease of development of biotherapeutics such as monoclonal antibodies. The book covers a wide array of topics, spanning from immunogenicity and pharmacokinetic/dynamic properties to key chemical and physical stability attributes. It is recommended as important reading for researchers from both academic and industrial perspectives, and will be of particular interest for graduate students seeking to gain an experienced perspective of the current state of the art and opportunities for high impact research in the future’.
– Christopher J. Roberts, Professor of Chemical & Biomolecular Engineering, University of Delaware.
'Developability of Biotherapeutics: computational approaches presents a state-of-the art and modern overview on computational approaches for evaluating developability of biotherapeutics. Optimal molecule design and selection is a yet underappreciated and underutilized element of finding, developing, and finally commercializing the best molecule. The optimum molecule not only serves patient needs by ensuring efficacy and safety, but is also optimized from a technical drug product development perspective. This book is a must-read for industrial and academic researchers involved in discovering, identifying and optimizing molecules and transitioning from research to development and beyond.'
– Prof. Dr. Hanns-Christian Mahler, Head of Drug Product Services, Lonza AG.
‘This book represents a compelling opening salvo to the field of computational methods applied to antibody developability. The chapters are… supported by extensive and timely literature citations: the average number of citations per chapter goes above 90, with over 50% of the references dating to 2009 or later. Developability of Biotherapeutics: Computational Approaches should be a good addition to the libraries of industrial and academic groups engaged in, or supporting, development of biopharmaceutical drugs.’
– Charlotte M. Deane & Maximiliano Vásquez (2016), mAbs, DOI: 10.1080/19420862.2016.1256723.
‘Developability of Biotherapeutics: Computational Approaches presents the most extensive and systematic overview to date, of modern computational approaches that are being used industrially to assess potential manufacturability and overall ease of development of biotherapeutics such as monoclonal antibodies. The book covers a wide array of topics, spanning from immunogenicity and pharmacokinetic/dynamic properties to key chemical and physical stability attributes. It is recommended as important reading for researchers from both academic and industrial perspectives, and will be of particular interest for graduate students seeking to gain an experienced perspective of the current state of the art and opportunities for high impact research in the future’.
– Christopher J. Roberts, Professor of Chemical & Biomolecular Engineering, University of Delaware.
'Developability of Biotherapeutics: computational approaches" presents a state-of-the art and modern overview on computational approaches for evaluating developability of biotherapeutics. Optimal molecule design and selection is a yet underappreciated and underutilized element of finding, developing, and finally commercializing the best molecule. The optimum molecule not only serves patient needs by ensuring efficacy and safety, but is also optimized from a technical drug product development perspective. This book is a must-read for industrial and academic researchers involved in discovering, identifying and optimizing molecules and transitioning from research to development and beyond.'
– Prof. Dr. Hanns-Christian Mahler, Head of Drug Product Services, Lonza AG.
‘This book represents a compelling opening salvo to the field of computational methods applied to antibody developability. The chapters are… supported by extensive and timely literature citations: the average number of citations per chapter goes above 90, with over 50% of the references dating to 2009 or later. Developability of Biotherapeutics: Computational Approaches should be a good addition to the libraries of industrial and academic groups engaged in, or supporting, development of biopharmaceutical drugs.’
– Charlotte M. Deane & Maximiliano Vásquez (2016), mAbs, DOI: 10.1080/19420862.2016.1256723.
