We are pleased to announce that NIIMBL has published a Request for Application (RFA) to participate in the Big Data Program initiative to Simulate Buffer-Induced pH-Shifts During Chromatography Steps.
Objectives of the project: Develop software modules which are interoperable with others within the CADET Chromatography Analysis and Design Toolkit (CADET · GitHub). The resulting modules would increase accuracy of predictions for all chromatography separations which involve ionic interactions (CEX, AEX, Protein-A, Hydroxyapatite, etc.). The modules would also be applicable to many different wash and elution contexts (buffer, salts, adsorbed species, adsorbent ligand, etc.) through use of libraries of titratable group pK values and other parameters needed for the simulation. It is most desirable that modules use open-source tools which do not require special licenses or cost for their use (Python, etc.)
Through this RFA, NIIMBL intends to fund one project with funding up to $300,000.
For more information, visit Big Data | Interoperable Model Module to Simulate Simulate Buffer-Induced pH-Shifts During Chromatography Steps RFA2025.02 - NIIMBL