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Ajouter au panierhardcover. Etat : Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Ajouter au panierEtat : New. Sandeep Kumar, PhD, is a senior principal scientist at Pfizer, Inc. in the Biotherapeutics Pharmaceutical Sciences group, working on computational modeling and developability risk assessments of a wide variety of biotherapeutic drug cand.
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Langue: anglais
Edité par Taylor & Francis Ltd Jun 2021, 2021
ISBN 10 : 1032098201 ISBN 13 : 9781032098203
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware - This reference describes applications of computational and molecular modeling techniques toward more efficient and affordable biopharmaceutical drug development at the pre-clinical stages that could positively impact clinical outcomes. With a primary focus on the developability of monoclonal antibody candidates, it addresses many contributions t.
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Ajouter au panierHardcover. Etat : Brand New. 1st edition. 297 pages. 8.00x5.00x1.00 inches. In Stock.
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Ajouter au panierBuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.