This year's Peptide Therapeutics Forum will take place in the virtual space, and we are thrilled to be a part of the program with fantastic speakers. Our presentation will cover the results from our collaboration with NEC Laboratories Europe GmbH and the endeavor to find peptide targets for an efficient vaccine against the SARS-CoV-2 (Press release).
Title. Parallel manufacturing of AI-predicted peptide epitopes for vaccination against the SARS-CoV-2 virus
Authors. Dominik Sarma1 , Stephan Lüdtke1 , Brandon Malone2 , Robert Zitterbart1
1Belyntic GmbH, Richard-Willstaetter-Str. 11, 12489 Berlin, Germany; 2 NEC Laboratories Europe GmbH, Kurfuersten-Anlage 36, 69115 Heidelberg, Germany email@example.com
Abstract. Fast and parallel purification of chemically synthesized peptides from in-silico or biochemical discovery processes is essential to expose their immense potential during subsequent validation studies. In this presentation, we show how machine learning algorithms can predict MHC Class I epitopes from the SarsCoV-2 virus, which are likely to elicit a T-cell response. A selection of 96 peptide sequences with free Cand N-terminus was quickly synthesized and purified in 96-well filter plates using a safety-release purification linker. The peptides were validated using immune response assays to investigate their potential as elements of a peptide vaccine against COVID-19. The results show how catch-and-release methodologies can help to massively increase the throughput and success rate during preclinical hit-to-lead studies.
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