GenAI designs novel Ab targeting. It uses structure, sequence, & co-folding for binding.
Strategies for in-silico filtering and ranking of antibody designs have been under-discussed in the literature, e.g. in most technical reports on antibody design that I've seen. Let's talk about these here! [1/n]
Via @robinbisson.bsky.social @sophieatrpn.bsky.social
www.researchprofessionalnews.com/rr-news-uk-r...
Via @robinbisson.bsky.social @sophieatrpn.bsky.social
www.researchprofessionalnews.com/rr-news-uk-r...
Strategies for in-silico filtering and ranking of antibody designs have been under-discussed in the literature, e.g. in most technical reports on antibody design that I've seen. Let's talk about these here! [1/n]
GenAI designs novel Ab targeting. It uses structure, sequence, & co-folding for binding.
Strategies for in-silico filtering and ranking of antibody designs have been under-discussed in the literature, e.g. in most technical reports on antibody design that I've seen. Let's talk about these here! [1/n]
Model architectures, training data curation, and scoring protocols are fully described.
Preprint: www.absci.com/wp-content/u...
Model architectures, training data curation, and scoring protocols are fully described.
Preprint: www.absci.com/wp-content/u...
“.. the United States has broken with the values that it helped to establish ..
“.. we have now moved beyond the stage where we can lament the lack of respect for international law or the erosion of the international order; we are far beyond that, I believe.”
“.. the United States has broken with the values that it helped to establish ..
“.. we have now moved beyond the stage where we can lament the lack of respect for international law or the erosion of the international order; we are far beyond that, I believe.”
Seriously, watch it all the way through.
www.youtube.com/watch?v=Y-aP...
"There are no optical corrections in the Parthenon"
One of the oldest myths in human history is that the Parthenon was cleverly built with curves so that it looks straight, to correct some visual illusions
In this paper I demonstrate that there are NO optical corrections in the Parthenon
arxiv.org/abs/2510.16831. [1/n]
"There are no optical corrections in the Parthenon"
@krzakalaf.bsky.social lab.
@krzakalaf.bsky.social lab.
Topics include anything in the ML+bio intersection.
Submit your ML+bio short papers! Authors can even present in both locations if they have people in both locations 🚀
Two workshops (San Diego & Copenhagen) will run concurrently to support broader attendance. You can indicate your location preference(s) in the submission portal💫
Topics include anything in the ML+bio intersection.
Submit your ML+bio short papers! Authors can even present in both locations if they have people in both locations 🚀
We expanded and refined the preprint thanks to the insightful feedback from reviewers!
paper: pubs.acs.org/doi/10.1021/...
code: github.com/RitAreaScien...
go.nature.com/45Ftiw4
go.nature.com/45Ftiw4
- AI Scientist 👉 lnkd.in/eDXHH4E8
- AI Scientist, Drug Creation 👉 lnkd.in/eEvGyaTR
You'll work on antibody sequence/structure design, antibody-antigen co-folding, antibody-antigen binding prediction, physics-based methodologies, and more!
DMs welcome!
- AI Scientist 👉 lnkd.in/eDXHH4E8
- AI Scientist, Drug Creation 👉 lnkd.in/eEvGyaTR
You'll work on antibody sequence/structure design, antibody-antigen co-folding, antibody-antigen binding prediction, physics-based methodologies, and more!
DMs welcome!
We introduce RAG-ESM, a retrieval-augmented framework that makes pretrained protein language models (like ESM2) homology-aware with minimal training cost.
📄 Paper: journals.aps.org/prxlife/abst...
🔗 doi.org/10.1101/2025...
💻 github.com/Bitbol-Lab/r...
1/7
We introduce RAG-ESM, a retrieval-augmented framework that makes pretrained protein language models (like ESM2) homology-aware with minimal training cost.
📄 Paper: journals.aps.org/prxlife/abst...
"ProteomeLM significantly outperforms DCA in recovering experimentally validated interactions. In H. sapiens, ProteomeLM achieves an AUC of 0.83, compared to 0.73 for DCA. Among the top 10 million scored pairs, it recovers 50% of known PPI, versus only 20% for DCA"
"ProteomeLM significantly outperforms DCA in recovering experimentally validated interactions. In H. sapiens, ProteomeLM achieves an AUC of 0.83, compared to 0.73 for DCA. Among the top 10 million scored pairs, it recovers 50% of known PPI, versus only 20% for DCA"
If you want more information, contact the committee heads, or feel free to DM me.
tinyurl.com/bd27ky7p
If you want more information, contact the committee heads, or feel free to DM me.
tinyurl.com/bd27ky7p
AtomWorks: github.com/RosettaCommo...
RF3: github.com/RosettaCommo...
Paper: tinyurl.com/y2w4z65b
1/6
AtomWorks: github.com/RosettaCommo...
RF3: github.com/RosettaCommo...
Paper: tinyurl.com/y2w4z65b
1/6
Pre-order now to Take Back Control on August 5.
bit.ly/4idpeGr
Pre-order now to Take Back Control on August 5.
bit.ly/4idpeGr
Zhidian Zhang, @milot.bsky.social, @martinsteinegger.bsky.social, and @sokrypton.org
biorxiv.org/content/10.1...
TLDR: We introduce MSA Pairformer, a 111M parameter protein language model that challenges the scaling paradigm in self-supervised protein language modeling🧵
Zhidian Zhang, @milot.bsky.social, @martinsteinegger.bsky.social, and @sokrypton.org
biorxiv.org/content/10.1...
TLDR: We introduce MSA Pairformer, a 111M parameter protein language model that challenges the scaling paradigm in self-supervised protein language modeling🧵
I am so proud of my group for this work! Particularly first authors Nick Charron, Klara Bonneau, Aldo Pasos-Trejo, Andrea Guljas.
I am so proud of my group for this work! Particularly first authors Nick Charron, Klara Bonneau, Aldo Pasos-Trejo, Andrea Guljas.