Tuesday Afternoon Session Preview: Fundamentals of Peptide Fragmentation
Among the Tuesday afternoon oral sessions taking place on June 17 between 2:30 p.m. and 4:30 p.m. in Room 314-317 is ?Fundamentals of Peptide Fragmentation.? Yu Xia, of Purdue University (West Lafayette, Indiana), will preside.
Among the Tuesday afternoon oral sessions taking place on June 17 between 2:30 p.m. and 4:30 p.m. in Room 314-317 is “Fundamentals of Peptide Fragmentation.” Yu Xia, of Purdue University (West Lafayette, Indiana), will preside.
Bela Paizs, of Bangor University (Bangor, UK) will start the session at 2:30 p.m. with a presentation titled “IRMPD Spectroscopy of Ammonia Complexes of Peptide Fragments.”
Following Paizs, Chang Xue, of the University of Washington, Department of Chemistry (Seattle, Washington), will speak on “EDT Performance Comparison among Benzyl/Methl/ n-Butylguanidine-Tagged Peptides. Xue’s talk begins at 2:50 p.m.
At 3:10 p.m., Xing Zhang, of the University of California, Riverside (Riverside, California), will give a presentation titled “Radical Additions to Aromatic Residues in Peptides Facilitate Unexpected Side Chain and Backbone Losses.”
Helen J. Cooper, of the University of Birmingham (Birmingham, UK), will follow Zhang at 3:30 p.m. with a presentation on “Understanding the Electron Capture Dissociation of Phosphopeptides by Use of Ion Mobility Mass Spectrometry and Molecular Dynamics Simulations.”
Robert A. Everley, of the Harvard Medical School (Boston, Massachusetts) will present next, with a talk at 3:50 p.m. titled “Enhanced Loss of Phosphate from Isobarically Tagged Phosphotyrosine Peptides: Impact on Site Localization Assignment, Immonium Ion Formation and MS/MS Interpretation.
The session’s final presentation, starting at 4:10 p.m., will be given by Alexander Ebhardt, of ETH Zurich (Zurich, Switzerland). Ebhardt’s talk is titled “Applying Arginylation for Proteomics.”
AI and GenAI Applications to Help Optimize Purification and Yield of Antibodies From Plasma
October 31st 2024Deriving antibodies from plasma products involves several steps, typically starting from the collection of plasma and ending with the purification of the desired antibodies. These are: plasma collection; plasma pooling; fractionation; antibody purification; concentration and formulation; quality control; and packaging and storage. This process results in a purified antibody product that can be used for therapeutic purposes, diagnostic tests, or research. Each step is critical to ensure the safety, efficacy, and quality of the final product. Applications of AI/GenAI in many of these steps can significantly help in the optimization of purification and yield of the desired antibodies. Some specific use-cases are: selecting and optimizing plasma units for optimized plasma pooling; GenAI solution for enterprise search on internal knowledge portal; analysing and optimizing production batch profitability, inventory, yields; monitoring production batch key performance indicators for outlier identification; monitoring production equipment to predict maintenance events; and reducing quality control laboratory testing turnaround time.
