|Biophysics Working Group|
CASSS announces the creation of a Biophysics Working Group. This group brings together scientists from across public and private sectors to foster collaboration and address unmet challenges in the application of biophysical methods to biologics research and development.
The goals of the group are to provide guidance and best practices, support innovation and advance transformative ideas, and generally enhance the overall scientific dialogue through contributions in various publications and CASSS conferences around the world. This group also aligns with CASSS’ purpose to enable a global community of industry, academic and regulatory professionals to work together to resolve scientific challenges in the field of biopharmaceutical development and regulation.
Members of the former “HOS Consortium” have included: Amgen Inc., AbbVie, Biogen, Bristol-Myers Squibb, Boehringer Ingelheim, Eli Lilly and Company, Elion Labs, Genentech, a Member of the Roche Group, GlaxoSmithKline, Janssen, MedImmune, A member of the AstraZeneca Group, Pfizer, Inc., NIST, Sandoz, University of Delaware, University of Kansas, University of New Hampshire, and Yeshiva University.
The group is currently soliciting proposals for collaborative research projects or other initiatives that will effectively leveraging capabilities across member organizations.
Technical Decision-Making with Higher Order Structure Data Series (Published Dates 2015-2016)
Industry Case Studies
Arthur KK, Dinh N, Gabrielson JP 2015. Technical decision making with higher order structure data: utilization of differential scanning calorimetry to elucidate critical protein structural changes resulting from oxidation. Journal of pharmaceutical sciences 104(4):1548-1554.
Budyak IL, Doyle BL, Weiss WF 4th 2015. Technical decision-making with higher order structure data: specific binding of a nonionic detergent perturbs higher order structure of a therapeutic monoclonal antibody. Journal of pharmaceutical sciences 104(4):1543-1547.
Gruia F, Du J, Santacroce PV, Remmele RL, Jr., Bee JS 2015. Technical decision making with higher order structure data: impact of a formulation change on the higher order structure and stability of a mAb. Journal of pharmaceutical sciences 104(4):1539-1542.
Jiang Y, Li C, Li J, Gabrielson JP, Wen J 2015. Technical decision making with higher order structure data: higher order structure characterization during protein therapeutic candidate screening. Journal of pharmaceutical sciences 104(4):1533-1538.
Wei JY, Bou-Assaf GM, Houde D, Weiskopf A 2015. Technical Decision-Making with Higher Order Structure Data: Detecting Reversible Concentration-Dependent Self-Association in a Monoclonal Antibody and a Preliminary Investigation to Eliminate It. Journal of pharmaceutical sciences 104(11):3984-3989.
Bain DL, Brenowitz M, Roberts CJ 2016. An Opportunity for Industry-Academia Partnership: Training the Next Generation of Industrial Researchers in Characterizing Higher Order Protein Structure. Journal of pharmaceutical sciences S0022-3549(16)41665-5.
Weiss WF 4th, Gabrielson JP, Al-Azzam W, Chen G, Davis DL, Das TK, Hayes DB, Houde D, Singh SK 2016. Technical Decision Making With Higher Order Structure Data: Perspectives on Higher Order Structure Characterization From the Biopharmaceutical Industry. Journal of biopharmaceutical sciences. S0022-3549(16)41695-3.
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