AUC 2022

GMP Processing and Automatic Data Acquisition from the Optima AUC with UltraScan

Presenters: Alexey Savelyev, University of Montana, USA, and Borries Demeler, University of Lethbridge, Canada


The UltraScan GMP module completely automates AUC data processing, observing 21 CFR, Part 11 GMP requirements for electronic records 1). The GMP process includes a complete description of the experimental design, which is stored read-only in the UltraScan LIMS database, and proceeds with automated data acquisition on the Optima AUC. After data collection is complete, the program automatically imports the data in the original double precision floating point format into the UltraScan LIMS database, without the ASCII loss of precision incurred in the Beckman program. In the next step, the program automatically edits the data. Next, the data will be analyzed automatically according to an analysis and result refinement workflow that is pre-defined in the experimental design protocol in the database. The analysis is performed on a supercomputer in parallel for all datasets in the experiment. After analysis is completed, and finite element models have been refined with 2DSA, 2DSA-FMB, 2DSA-IT, 2DSA-MC, and PCSA, the program proceeds to the reporting stage, automatically generating a comprehensive GMP report that is stored read-only in the UltraScan LIMS database. The program applies a collection of validation tests and reports automatically generated graphs, spreadsheets, and report items. In this workshop the participants will learn how to design a GMP protocol and run that protocol on the Optima AUC at the Canadian Center for Hydrodynamics. Questions about reporting formats, experimental design, 21 CFR-part 11 adherence and UltraScan data acquisition will be discussed.

1) Savelyev A, Gorbet GE, Henrickson A, Demeler B. Moving analytical ultracentrifugation software to a good manufacturing practices (GMP) environment. PLoS Comput Biol. 2020 Jun 19;16(6):e1007942. doi: 10.1371/journal.pcbi.1007942. PMID: 32559250; PMCID: PMC7347214.

This workshop will be presented on Monday from 11:30-13:30 (session 6).