Kristian Frandsen 🦋 @kristianfrandsen.bsky.social
@KrFrandsen
Followers
971
Following
6K
Media
74
Statuses
2K
Researcher @DTUbioengineer Enzyme Discovery | Guest researcher @cpsc_ucph @KU_PLEN | former @HOPE_NNF and #INRAE @BBF_lab | #CAZymes #cryoEM #Engineering #AI
København, Danmark
Joined March 2015
One of the greatest is no longer 😢 Dear Sine, it has been an honour to do MSc, PhD and postdoc in your crystallography section 🫡 Tribute to Professor Emerita Sine Larsen https://t.co/879XmVC5AF
esrf.fr
0
2
2
«If you wish to understand the universe, think of energy, frequency, and vibration» — Nikola Tesla https://t.co/uqiK5oacQb
74
1K
6K
A few 2Dmol updates 🧬 https://t.co/iHwS4XvrUj Integration with AlphaFoldDB (will auto fetch results). Drag and drop results from AF3-server or ColabFold for interactive experience! (1/5)
5
30
207
Excited to share our new preprint in collaboration with Ahmet Yildiz's lab. Check out how our team uncovers a novel binding footprint and motor regulation mechanism for MAP9 Congrats to Burak Cetin and @AryanTaheri4
https://t.co/0tIZ752bQr
1
20
102
Visual proof that: 6 ⋅ (1² + 2² + ... + n²) = (n) (n+1) (2n+1) [🎞️ Beau Janzen / reason4math] https://t.co/U9RPwEH2cZ
29
594
5K
Watch a 2-TON stone dragged a very short distance by 30 men… Then realize that ancient Egyptians mysteriously transported the 1,000-TON Ramesseum Statue 170 miles Guys, that’s 500X HEAVIER than this…🤯👇🏻
1K
882
16K
ipython/jupyter widget version of nano-protein-viewer is coming out soon stay tuned!
12
29
343
Boltzgen is out, and once again, it's fully open-source! We experimentally validated the model on a wide array of targets and use cases with impressive results, including 67% success rate on nanobody design! Huge credit to @HannesStaerk for driving this in a way only he can.
Excited to release BoltzGen which brings SOTA folding performance to binder design! The best part of this project has been collaborating with many leading biologists who tested BoltzGen at an unprecedented scale, showing success on many novel targets and pushing its limits! 🧵..
1
13
102
Introducing Latent-X — our all-atom frontier AI model for protein binder design. State-of-the-art lab performance, widely accessible via the Latent Labs Platform. Free tier: https://t.co/NamdznPWjL Blog: https://t.co/2UkYDEe8a9 Technical report: https://t.co/0m2s3y7vwN
17
56
271
Intrinsic water in protein–ligand complexes is more important than you think. Most people remove all water before simulations, but that’s often where critical binding physics hide. Bridging waters, hydration hotspots, and entropy–enthalpy balance can make or break your binding
5
16
107
AlphaFold2 gave us the AlphaFold Database. AF-CALVADOS gives us the next layer: proteome-scale dynamic ensembles. 12,483 human proteins simulated, SAXS-validated, freely available, a proteome-scale ensemble dataset for biology.
2
27
160
a small attempt to learn from the pymol/chimera wizards
i spent a small fraction of my unemployment working on cartoonifying proteins in nicer ways
5
14
306
The development of metal–organic frameworks (MOFs) 🤩
BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2025 #NobelPrize in Chemistry to Susumu Kitagawa, Richard Robson and Omar M. Yaghi “for the development of metal–organic frameworks.”
0
0
0
BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2025 #NobelPrize in Chemistry to Susumu Kitagawa, Richard Robson and Omar M. Yaghi “for the development of metal–organic frameworks.”
498
9K
19K
eRMSF: A Python Package for Ensemble-Based RMSF Analysis of Biomolecular Systems 1. eRMSF is a novel Python package that extends the traditional Root Mean Square Fluctuation (RMSF) analysis to diverse ensembles, not just molecular dynamics trajectories. This innovation allows
1
27
153
Interesting... 🤔 Reminds me of older work (MirrorTree) where folks used to compare similarity of gene trees (topology and branch lengths) for PPI prediction. Since interacting proteins are likely to have similar phylogenetic reconstructions.
Protein Language Models are Accidental Taxonomists 1. A new study revealing a significant issue in protein-protein interaction (PPI) prediction models. These models, which use protein language models (pLMs), have been found to exploit phylogenetic distances rather than genuine
2
18
115
AlphaFoldDB updated, now includes the MSAs 🥳
We’re renewing our collaboration with @GoogleDeepMind! We'll keep developing the AlphaFold Database to support protein science worldwide 🎉 To mark the moment we’ve synchronised the database with UniProtKB release 2025_03 https://t.co/VTzPuEUC1r
#AlphaFold
4
46
343
Read the paper: The Viral AlphaFold Database of monomers and homodimers reveals conserved protein folds in viruses of bacteria, archaea, and eukaryotes https://t.co/HfDcAVmsQV
science.org
VAD is a Viral AlphaFold Database of protein monomers and homodimers from viruses infecting hosts across the tree of life.
0
6
21
A hard decision that every proteinologist must make
12
26
270
Very excited to share our paper "De novo Design of All-atom Biomolecular Interactions with RFdiffusion3", now on BioRXiv. https://t.co/ry7b17DHgy 1/n
5
90
409