Pierre Millard

@pierremillard.bsky.social

Systems biologist at Toulouse Biotechnology Institute, INRAE, France Member of MetaboHub consortium ❓️ Focus on microbial metabolism for biotechnology and health 🛠 Main tools: modeling, fluxomics, metabolomics, isotope-based approaches

Cool enzyme specificity predictor🦠✨! Build on >300k enzyme-substrate pairs (UniProt, BRENDA, literature), combining ESM-2 embeddings and GNNs to model atom–residue interactions. In one test (34 E. coli metabolites × 860 enzymes), it correctly matched 10! #microsky 🧪 www.nature.com/articles/s41...

Enzyme specificity prediction using cross attention graph neural networks - Nature

Nature - Enzyme specificity prediction using cross attention graph neural networks

nature.com

Domesticated animals have pulled our heavy carts and turned our large mills for centuries. But what about the opposite end of the spectrum—what if the wheel you want to turn is so small you can’t see it? Turns out we can harness the power of bacteria to power the world’s smallest machines. 1/7 ⚛️🧪

Suite à la migration de scientifiques et d'universitaires de X, Bluesky est devenue une l'une des alternatives. Afin d'évaluer sa viabilité/pertinence pour la communication scientifique, cette étude présente une analyse à grande échelle de la diffusion d'articles scientifiques sur Bluesky. 1/5

Image d'un téléphone sur lequel se trouve le logo et le nom de Bluesky.
En arrière-plan, un papillon blanc sur fond bleu

A plasmid golden ratio? 🧬 Plasmid copy number ≈ 2.5% of chromosome size—consistent across bacterial species! pmc.ncbi.nlm.nih.gov/articles/PMC... @jerorb.bsky.social 🧪 #microbesky

a Scatter plots showing the correlation between plasmid size (x-axis) and PCN (y-axis) for the analysed genera. Each point represents the median PCN and plasmid size for each PTU, and error bars indicate the standard deviation from the median. Grey lines represent ordinary least squares regression, with the surrounding shaded area indicating 95% confidence intervals. The scaling factor or slope, k, is indicated on each panel. b Distribution of total DNA load per plasmid (x-axis) relative to chromosome size per genus (y-axis). The DNA load of each plasmid is calculated by multiplying the plasmid size by the copy number and then expressed as a proportion relative to the chromosome size. The point inside the box marks the median. The upper and lower hinges correspond to the 25th and 75th percentiles, and whiskers extend to 1.5 times the interquartile range. Only Escherichia and Salmonella significantly differ from All; Kruskal–Wallis test followed by Dunn’s test for pairwise multiple comparisons p < 10−4; effect size = 0.006. c Relative plasmid DNA load observed (%) (x-axis) and expected (y-axis) per cell. The y-axis indicates the expected plasmid DNA load (%) inside a cell when it contains one plasmid (1n), two plasmids (2n), and so on. This expected data has been calculated by generating a sequence from 1 to 9 multiplied by the median of the DNA load per plasmid (2.49%). Each green point represents a single genome, and the black points are the median for each category. Shading indicates interquartile ranges. Pearson’s p value and coefficient are shown for the correlation between expected and observed plasmid DNA.
Jerónimo Rodríguez-Beltrán@jerorb.bsky.social · last yr.

🚨🚨New paper out in @natcomms.nature.com!! Come for the first large-scale analysis of plasmid copy number across species, stay for one of the most intriguing results of my lab: universal scaling laws in plasmid biology! 📈🧬 👉 www.nature.com/articles/s41...

I'm going to be advertising for a few positions in my group in the next couple of months for a big project on synthetic microbial communities. I would love to hear from you if you are interested and I'd also appreciate if everyone could share this far and wide!

Bild

big one! a decade in the making. nadler & team develop tools to track lipid transport in living cells at single-species resolution. turns out non-vesicular, asymmetry-driven transport is the main architect of organelle identity. feels like the dawn of a golden era for lipid biology. rdcu.be/eBGJv

Quantitative imaging of lipid transport in mammalian cells

Nature - Directional, non-vesicular lipid transport is responsible for fast, species-selective lipid sorting into organelle membranes.

rdcu.be