Books > Science & Mathematics > Biology, life sciences > Biochemistry
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Developability of Biotherapeutics - Computational Approaches (Paperback)
Loot Price: R1,561
Discovery Miles 15 610
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Developability of Biotherapeutics - Computational Approaches (Paperback)
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Biopharmaceuticals are emerging as frontline medicines to combat
several life-threatening and chronic diseases. However, such
medicines are expensive to develop and produce on a commercial
scale, contributing to rising healthcare costs. Developability of
Biotherapeutics: Computational Approaches describes applications of
computational and molecular modeling techniques that improve the
overall process of discovery and development by removing
empiricism. The concept of developability involves making rational
choices at the pre-clinical stages of biopharmaceutical drug
development that could positively impact clinical outcomes. The
book also addresses a general lack of awareness of the many
different contributions that computation can make to
biopharmaceutical drug development. This informative and practical
reference is a valuable resource for professionals engaged in
industrial research and development, scientists working with
regulatory agencies, and pharmacy, medicine, and life science
students and educators. It focuses primarily on the developability
of monoclonal antibody candidates, but the principles described can
also be extended to other modalities such as recombinant proteins,
fusion proteins, antibody drug conjugates and vaccines. The book is
organized into two sections. The first discusses principles and
applications of computational approaches toward discovering and
developing biopharmaceutical drugs. The second presents best
practices in developability assessments of early-stage
biopharmaceutical drug candidates. In addition to raising awareness
of the promise of computational research, this book also discusses
solutions required to improve the success rate of translating
biologic drug candidates into products available in the clinic. As
such, it is a rich source of information on current principles and
practices as well as a starting point for finding innovative
applications of computation towards biopharmaceutical drug
development.
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