Daphne Kontogiorgos-Heintz
@daphnekheintz
CS PhD student at @UW working on ML for single-molecule protein sequencing with @datamolecules | Prev @Penn BE and CIS
ID: 1468745867419164678
09-12-2021 00:54:45
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There's a buzz around Multi-pass, Single-Molecule Nanopore Reading of Long Protein Strands, a recent nature publication from Jeff Nivala, Keisuke Motone / 元根 啓佑, Daphne Kontogiorgos-Heintz and colleagues. Watch this publication highlight where they discuss their work! youtube.com/watch?v=aaE7kZ…
Research highlight by Dr. Arunima Singh: A multi-pass nanopore for single-molecule protein sequencing from Jeff Nivala from University of Washington allowed rereading the same peptide strand multiple times providing higher resolution readouts. Highlight: nature.com/articles/s4159…
Protein sequencing is key to understanding cellular signalling pathways and metabolic processes. In their Review, cees dekker - also at @ceesdekker.bsky.social et al discuss how nanopores enable single-molecule protein sequencing and the identification of post-translational modifications go.nature.com/40ZutV0
Last week, Reha Mathur, Bauer LeSavage, and I attended several ML + Biology workshops at #neurips2024. We've compiled our workshop notes as a community resource. Enjoy! tinyurl.com/3esnu2fw
Following the announcement of our first speaker Jeff Nivala, we’re happy to announce early bird tickets for London Calling 2025, are now available. Make sure to purchase before 19th Jan to avoid the price increase. Get your ticket here: nanoporetech.com/about/events/c… #nanoporeconf
Sara Mostafavi (Genentech ) & I (Stanford University) r excited to announce co-advised postdoc positions for candidates with deep expertise in ML for bio (especially sequence to function models, causal perturbational models & single cell models). See details below. Pls RT 1/
🚫 No dyes. No bleaching. 🔬 Just AI + label-free microscopy = vivid virtually stained images New in Nature Machine Intelligence: A deep learning model that enables robust virtual staining across microscopes, cell types & conditions. #CZBiohubSF Shalin Mehta explains:
Undruggable ‘disordered’ proteins become druggable with new AI techniques from David Baker. Science Magazine science.org/doi/10.1126/sc…
Glad to see our antibody design paper finally out in nature (and congrats to lead authors and everyone involved )! At XairaTherapeutics we are excited about pushing antibody design further to bind harder targets and make drugs for unmet medical needs. Paper: nature.com/articles/s4158…