📢 Get ready for #MLDD2023 happening TOMORROW at #ICLR2023! Tune in to hear about the latest research in machine learning for Drug Discovery🧬💊 #MLDD2023 https://t.co/Qq1Sb5mJvW
Tomorrow at @iclr_conf@MLDD_Workshop, @EliWeinstein6 and I will be talking about generative ML for cell therapy design and synthesis! Tune in around 10:15AM ET if you’re interested! @jura_bio
Excited to share that our work (w/ @erikjbekkers ) “An Exploration of Conditioning Methods in Graph Neural Networks” was accepted to Machine Learning for Drug Discovery workshop at ICLR’23 @MLDD_Workshop@iclr_conf.
Paper:https://t.co/tfwHw7BIDb
Code:https://t.co/6ea4TIXLdP 1/7
Andrea & Kevin will present our work on prompt tuning for conditional generation of #protein sequences from pre-trained protein language models. Come by tomorrow (05/05), 5pm GMT/7pm CAT to Poster Session 2 at #ICLR2023@MLDD_Workshop! w/ @MelaniaNowicka@jmbartoszewicz
Our first "joint-last author" paper with @MelaniaNowicka is now accepted at #iclr2023 ML for Drug Discovery workshop @MLDD_Workshop! Great work by Andrea Nathansen & Kevin Klein, two very ambitious & talented students @HPI_DE
We are postponing the submission deadline to Monday Feb 13th (AOE). If planning on submitting a paper, please submit an abstract on OpenReview by the original deadline (Feb 10th AOE) #ICLR2023
We are very excited to announce the lineup of speakers for the #MLDD workshop at #ICLR2023, featuring leading scientists and innovators from academia and industry! https://t.co/CQgm5XoQ9Y @OkkoClev @fabian_theis@lizbwood@mmbronstein@RGBLabMIT (1/2)
The MLDD workshop will be back at #ICLR2023! Our updated website is up: https://t.co/umcFGeJUd7. We will be making announcements soon re: invited speakers and a new GeneDisco challenge for 2023!
Happy to present our work on “Predicting Single-Cell Perturbation Responses for Unseen Drugs” at #ICLR2022@MLDD_Workshop (spotlight) today at 12pm ET. The method, chemCPA, predicts phenotypic responses by including the molecular information about drugs:
Tune in for the @MLDD_Workshop@iclr_conf tday!
We will give a spotlight talk about the *Regression Transformer* - a dichotomous transformer that combines sequence regression with conditional sequence generation: https://t.co/QIfZU6hivI Joint work with @drugilsberg@IBMResearch
Excited to present our work on Improving the Assessment of Drug-Target Interactions Predictors at the MLDD workshop at #iclr2022. Fabs collaboration w @adlvdl and more at CITRE-BMS. 1/5
https://t.co/3Onm8V2DWt
Happy to be presenting our new work "Decoding Surface Fingerprints for Protein-Ligand Interactions" at #ICLR2022@MLDD_Workshop poster session today at 12pm ET!
Paper: https://t.co/L4MexnKbqu
Very excited to be presenting a poster at #ICLR2022@MLDD_Workshop tomorrow on our work! Great job by @MLDD_Workshop for reviewing and putting everything together. Also, cannot wait to check out all of the other interesting papers and presentations on ML for drug discovery.
Really excited to be introducing our new framework for de novo protein design, tomorrow at the @MLDD_Workshop#ICLR_2022 at 10:30-10:50am ET!
Paper: https://t.co/u6jEl4pGzG