Matthieu da Costa
@mdc-biocat.bsky.social
30 followers 73 following 5 posts
Computational Biology - Enzyme Design & Discovery - Chemoinformatics Abolis Biotechnologies
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mdc-biocat.bsky.social
Mercredi prochain je serai de retour à Villejuif pour les 10 ans d’iGEM IONIS.

Table ronde sur la biologie de synthèse face aux enjeux climatiques que je partagerai avec Andrew Tolonen… mon prof en 2015 et advisor IGEM en 2014.
Reposted by Matthieu da Costa
forlilab.bsky.social
Excited to announce a preprint describing our software package Meeko! Meeko is a Python package that uses RDKit for receptor and ligand preparation, including protonation, bond order, and connectivity and processing of docking results. It is customizable and suitable for high-throughput workflows.
Reposted by Matthieu da Costa
mdc-biocat.bsky.social
With the release of Boltz 2, is there already a review comparing the efficiency of different (new) docking tools? (I’ve already tried Pocket Vina, which is actually quite good for high-throughput)
mdc-biocat.bsky.social
Entre deux simulations, épris de rationalité et mu par le désir de progrès, je me plonge dans cet ouvrage qui saura sans doute tempérer mes ardeurs…
Reposted by Matthieu da Costa
asarigun.bsky.social
I'm excited to share our new preprint: PocketVina — a fast, scalable, and accurate multi-pocket molecular docking method.

Docking remains essential in early-stage drug discovery, but recent deep learning–based approaches still face limitations in generating...

Thread - (1/n)
Reposted by Matthieu da Costa
rdkbio.bsky.social
🚀 Our paper on the updated PrankWeb, a web app for protein binding site prediction using P2Rank, is out in
@narjournal.bsky.social. Now with docking integration!

👨‍💻 Try it: prankweb.cz
📄 Paper: doi.org/10.1093/nar/...
💻 GitHub: github.com/cusbg/prankweb

Developed at @cusbg.bsky.social
Screenshot of PrankWeb.
mdc-biocat.bsky.social
The heptagonal box model is a specificity and activity model that helps identify the type of reaction an enzyme catalyzes and its substrate, but it is not meant to indicate how well the enzyme performs. Structural features clearly play a critical role in catalysis (dynamics, binding, etc.).
mdc-biocat.bsky.social
It actually feels like the opposite here in Paris. I keep seeing more and more people with a book in hand on public transport. Even at Abolis, there's a growing habit of sharing and recommending books.
Reposted by Matthieu da Costa
jameslingford.bsky.social
Close to recreating it in ChimeraX:

1. Install the python file: github.com/smsaladi/chi...
2. rainbow palette magma
3. col modify #1 blackness - 40
4. col modify #1 whiteness - 40
5. col modify #1 saturation - 50
6. col modify #1 lightness + 20

Room for improvement, needs more desaturation
Trying to recreate the Baker lab RFdiffusion colour palette
Reposted by Matthieu da Costa
cameo3d.org
Introducing CAMEO Structures & Complexes - automated weekly blind benchmarking of structure prediction servers. Now with heteromeric and protein-ligand complexes.
Join us and register your server now!
cameo3d.org
Reposted by Matthieu da Costa
delalamo.xyz
"De novo prediction of protein structural dynamics"

I'll be presenting an overview of the field tomorrow at a workshop. Link to a PDF copy of the presentation: delalamo.xyz/assets/post_...
delalamo.xyz
Reposted by Matthieu da Costa
martinsteinegger.bsky.social
AFESM: a metagenomic guide through the protein structure universe! We clustered 821M structures (AFDB&ESMatlas) into 5.12M groups; revealing biome-specific groups, only 1 new fold even after AlphaFold2 re-prediction & many novel domain combos. 🧵
🌐 afesm.foldseek.com
📄 www.biorxiv.org/content/10.1...
Reposted by Matthieu da Costa
kevinkaichuang.bsky.social
Gene synthesis is often the most expensive part of protein engineering with generative models.

Happy to have played a small part in this work, where Chase developed a method for precision library construction at scale, with per-gene costs as low as $1.50.

@philromero.bsky.social
Oligo-based Multiplexed Efficient Gene Assembly (OMEGA)
Reposted by Matthieu da Costa
kevinkaichuang.bsky.social
Three BioML starter packs now!

Pack 1: go.bsky.app/2VWBcCd
Pack 2: go.bsky.app/Bw84Hmc
Pack 3: go.bsky.app/NAKYUok

DM if you want to be included (or nominate people who should be!)
Reposted by Matthieu da Costa
kevinkaichuang.bsky.social
RFDiffusion2: a diffusion model that scaffolds enzyme active sites at the atomic level enables the generation of functional de novo enzymes

www.biorxiv.org/content/10.1...
Reposted by Matthieu da Costa
grocklin.bsky.social
Small proteins can be more complex than they look!

We know proteins fluctuate between different conformations- but by how much? How does it vary from protein to protein? Can highly stable domains have low stability segments? @ajrferrari.bsky.social experimentally tested >5,000 domains to find out!
Reposted by Matthieu da Costa
jeeberhardt.bsky.social
For future reference, this is the slide (without the bottom cropped) that should have been posted here. Boltz-1 and AF3 are actually performing similarly on the Chymase and Mpro datasets, and differ only on the Autotaxin dataset for still unknown reasons.
Reposted by Matthieu da Costa
Reposted by Matthieu da Costa
ikalvet.bsky.social
We are happy to share that the code and weights of PLACER (formerly known as ChemNet) are now public!
This method allows for rapid evaluation of protein side chain and ligand conformational ensembles, with uses in ligand docking and enzyme evaluation.
github.com/baker-labora...
GitHub - baker-laboratory/PLACER: PLACER is graph neural network for local prediction of protein-ligand conformational ensembles.
PLACER is graph neural network for local prediction of protein-ligand conformational ensembles. - baker-laboratory/PLACER
github.com