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We're back from #PEGSEurope where discussions centered on the transformative role of machine learning in antibody drug discovery. We had the chance to hear from: Rebecca Croasdale-Wood, PhD, Senior Director, Augmented Biologics Discovery & Design, Biologics Engineering, Oncology, AstraZeneca Andrew Bradbury, MD, PhD, CSO, Specifica, an IQVIA business Charlotte Deane, PhD, Professor, Structural Bioinformatics, Statistics, University of Oxford; Executive Chair, Engineering and Physical Sciences Research Council (EPSRC) Andreas Evers, PhD, Associate Scientific Director, Antibody Discovery & Protein Engineering, Global Research & Development Discovery Technology, Merck Healthcare KGaA The panelists emphasized the importance of training ML models on high-quality, targeted datasets to improve predictions for antibody optimization, including binding affinity and developability. In addition to our VP of Antibody Discover, Monica Schwartz presenting our poster, we attended insightful discussions on the latest in de novo design, where computational methods are driving antibody discovery forward. Key themes included integrating in silico methods throughout the discovery pipeline, the importance of both positive and negative data to refine models, and the challenge of advancing from binding predictions to functional outcomes, and more. It was an informative and inspiring week! Special thanks to Twist Bioscience for organizing a wonderful happy hour with scientists from the Weizmann Institute of Science, bringing together innovative minds in the field!?Thank you everyone for a memorable week at PEGS!

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