Kai Blin
@kaiblinMicrobiology PhD, co-author of antiSMASH, Open Source geek, views are my own. @[email protected]
Similar User
@NadineZiemert
@lab_shen
@tilmweber
@marnixmedema
@ZiemertLab
@ZachReitzPhD
@BradMoore_SIO
@kwan_lab
@GillesvanWezel
@MitjaMZ
@EustaquioLab
@CBeemelmanns
@kerrymcphail1
@LabRudolf
@MurphyLabUIC
First secondary metabolite talk at #GiMMES2024 and #antiSMASH mentioned. Before AlphaFold, too.
I might be missing something obvious, but is there a place to let @haveibeenpwned know about apparent new breaches? I’m sitting here with a notice in my inbox about a breach of one of my accounts that HIBP doesn’t list yet…
It looks like the DTU firewall is having some fun with a high load of malicious requests, impacting the antiSMASH web service response times. Our servers themselves are unaffected.
Hey @PLOSONE, that’s the second time in two weeks that I, a computational biologist, was invited to review papers with economy and political policy topics. Do you still care about where reviews come from? Because once is a fluke, but twice starts looking like a pattern.
And we're back to normal.
We're currently seeing some sort of sporadic network outages for the servers we're running #antiSMASH on. I'm unclear on what's happening at the moment.
We're currently seeing some sort of sporadic network outages for the servers we're running #antiSMASH on. I'm unclear on what's happening at the moment.
Carlos Acevedo-Rocha from @DTUBiosustain presenting ProteusAI, a tool to make ML more accessible for protein engineers #theautomatedscientist2024
DB points out the importance of considering codon diversity, not amino acid diversity when designing novel protein sequences. #theautomatedscientist2024
Douglas Kell @dbkell talking about the necessity of navigating sequence space intelligently by using active learning #theautomatedscientist2024
KW ending up with a prediction that AI won't replace scientists, but will replace scientists that won't use AI #theautomatedscientist2024
KW now rocking a live demo of their prototype generative protein design tool. I'm impressed, even if the prototype is still a bit rough on the edges. #theautomatedscientist2024
KW: Frequently you can see if your model is working by looking at training graphs, before even hitting the lab. #theautomatedscientist2024
KW pitching a "one model to rule them all" approach. This runs inverse to what I currently see to be the trend, so I'm interested in how that is going to work out. #theautomatedscientist2024
Kathy Wei making the point that developing new drugs is following the inverse Moore's Law, getting ever more expensive to create. #theautomatedscientist2024
Interesting discussion around the effect of being able to easily generate highly active enzymes with relatively low sequence similarities will have on the current IP landscape, where patent protection usually only covers up to 15 % similarity #theautomatedscientist2024
AF showing that at the moment latent space exploration still outperforms diffusion-based models, but is convinced that once we figure out how to nudge diffusion models into the right direction, lots of new interesting protein sequences will happen #theautomatedscientist2024
Andrew Ferguson from Evozyne talking about using transformer models to get away from multiple sequence alignments for protein design. Interesting to see them use a T5 encoder and then go into a family-specific dimensionality reduction encoder layer #theautomatedscientist2024
“The question is not how to make the next alphafold, but rather how do we make the next PDB.” Peter Kelly at #theAutomatedScientist2024 @ScienceCluster conference, and I’m here getting a sore neck from agreeing so hard.
United States Trends
- 1. Dayton 5.800 posts
- 2. Seth Trimble N/A
- 3. Chargers 57,4 B posts
- 4. Quentin Johnston 6.218 posts
- 5. Kerr 8.344 posts
- 6. Ravens 69,3 B posts
- 7. Canada 417 B posts
- 8. Drake Powell N/A
- 9. Irene 165 B posts
- 10. #WWERaw N/A
- 11. #GMMTV2025 159 B posts
- 12. Herbert 20,1 B posts
- 13. Lamar 185 B posts
- 14. #Dragula N/A
- 15. Cadeau 9.323 posts
- 16. Maui 16,2 B posts
- 17. Kofi 16,9 B posts
- 18. Heels 22,4 B posts
- 19. RJ Davis N/A
- 20. Corey Alexander N/A
Who to follow
-
Nadine Ziemert
@NadineZiemert -
Shen Lab
@lab_shen -
Tilmann Weber
@tilmweber -
Marnix Medema
@marnixmedema -
ZiemertLab
@ZiemertLab -
Zach Reitz
@ZachReitzPhD -
Bradley Moore
@BradMoore_SIO -
Jason C Kwan
@kwan_lab -
Gilles van Wezel 💙💛
@GillesvanWezel -
Mitja Zdouc, PhD
@MitjaMZ -
Eustaquio Lab
@EustaquioLab -
BeemelmannsLab
@CBeemelmanns -
Kerry McPhail
@kerrymcphail1 -
Rudolf Lab
@LabRudolf -
BT Murphy Lab
@MurphyLabUIC
Something went wrong.
Something went wrong.