667 Innovative Technologies to Accelerate and Enhance Drug Discovery, Development, and Manufacturing


Description:
This session will showcase innovations that advance drug discovery, development, and manufacturing. Topics such as biocatalysis, green chemistry, and application of other novel process engineering tools in drug substance and drug product will be discussed. A particular focus on the judicious application of experimental and theoretical techniques targeting acquisition of fundamental understanding will be highlighted.

Sponsor:
Pharmaceutical Discovery, Development and Manufacturing Forum
Co-Sponsor(s):
Pharmaceuticals (15B)


Chair:
Shane T. Grosser
Principal Scientist
Merck & Co., Inc.
Chemical Engineering R&D
126 E. Lincoln Ave.
Rahway, NJ
07065
Fax Number: 732-594-7355
Email: shane_grosser@merck.com

Co-Chair:
Andreas S. Bommarius
Professor
Georgia Institute of Technology
School of Chemical & Biomolecular Engineering
Parker H. Petit Institute for Bioengineering and Bioscience
Atlanta, GA
30332
Fax Number: 404-894-2291
Email: andreas.bommarius@chbe.gatech.edu


Papers:
667a
Greenness By Design for Pharmaceutical Synthetic Processes
Jacob Albrecht, Bristol-Myers Squibb; Jun Li, Bristol-Myers Squibb; Alina Borovika, Bristol-Myers Squibb; Martin Eastgate, Bristol-Myers Squibb
667b
Data Rich Experimentation Methods Towards Immobilized Biocatalysis for Drug Substance Manufacture
Shane T. Grosser, Merck & Co., Inc.; Jacob H. Forstater, Merck & Co., Inc.
667c
Enzyme Deactivation Probed By Non-Isothermal Continuous Activity Assay
Matthew A. McDonald, Georgia Institute of Technology; Ronald W. Rousseau, Georgia Institute of Technology; Martha A. Grover, Georgia Institute of Technology; Andreas S. Bommarius, Georgia Institute of Technology
667d
Removing Endotoxins from E. coli-Based Cell-Free Systems: Towards Enabling on-Demand Distributed Production of Therapeutics
Bradley C. Bundy, Brigham Young University; Kristen M. Wilding, Brigham Young University
667e
Mechanistic Modeling and Parameter-Adaptive Nonlinear Model Predictive Control of a Microbioreactor
Moo Sun Hong, Massachusetts Institute of Technology; Richard D. Braatz, Massachusetts Institute of Technology
667f
Automated in silico Crystallization Process Design Using Solubility Models; Web Applications for Visualization and an Overview of a Solvent Selection Workflow
Jeremy Merritt, Eli Lilly and Company; Jeffrey Tan, Eli Lilly & Co; Ravi Ananthula, Eli Lilly; Roger Rothhaar, Eli Lilly
667g
Computational Fluid Dynamics Boosted Stochastic Modelling for Integrated Quantitative Understanding of API Crystalline Product Manufacturing Process
Deepak Jain, Zoetis, Inc.; Joydeep Kant, Zoetis, Inc.; Vishwanath Dalvi, Institute of Chemical Technology; Channamallikarjun Mathpati, Institute of Chemical Technology
Abstract Submissions Closed
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