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--- title: "ASBMB2023 Index" source: https://www.jemoka.com/posts/kbhasbmb2023_index/ --- 2023 annual meeting of ASBMB. Talks Molecular Engineering Christopher Barnes, Stanford SARS-COV2 Structural Analysis 10.1126/sciimmunol.ade0958 Emma J. Chory, Duke Robotics-Assisted Directed Evolution 10.1038/s41592-021-01348-4 Daniel-Adriano Silva, Monod De novo biosensors 10.1038/s41586-021-03258-z Structure Determination and Machine Learning Sonya Hanson, Flatiron cyro-EM + ensemble reweighting 10.1073/pnas.1419276111 Celia Schiffer, UMass Med Drug Resistance Analysis 10.7554/eLife.77433 Arvind Ramanathan, Argonne Lab Models of Interaction Analysis ?, see GenSLMs Jason K Perry, Gilead Structure of COVID Replication Protein Structure and Biophysics Erik Yukl Zinc ABC Transporters ? Wentao Li Calpains … AFIB Drug Design w/ AI Alpha Lee, PostEra ML COVID Drug Discovery 10.1101/2020.10.29.339317 David Baker, UW De Novo Protein Design RFDiffusion, RoseTTAFold2 Relay Therapeutics Active Learning Molecule Iteration Rommie E Amary, UCSD Immunogen Design Things to Google diffusion maps and https://www.charmm-gui.org/ GenSLMs: LLMs, but genome sequence representation learning RFDiffusion “quantum chemistry” https://www.biosolveit.de/infiniSee what tool do these people use to make these?