🚀 Sponsorship opportunities still available 📍 Lyon, France | 14–16 October 2026 Registration opening soon. Stay tuned for further announcements! #CGML2026 #MachineLearning #MolecularModeling #CoarseGrained #DrugDiscovery #Formulations #MaterialsScience
Paulo C. T. Souza
@pauloctsouza.bsky.social
Martini developer trying to make CG models more useful for molecular design and drug/vaccine delivery 🖥️+🍸=💊💉 | Group leader at CBPsmn/ENS de Lyon | CNRS Researcher at DAMM team of LBMC/ENS de Lyon | Scientific consultant
Our paper on [Bentopy](doi.org/10.1002/pro....) is out in Protein Science! We developed Bentopy to make assembling large-scale MD models more accessible, building on what we learned from trying to simulate whole-cell models. Here's our updated Martini JCVI-syn3A cell model👇
New preprint: “When lipids embrace RNA” www.biorxiv.org/content/10.6... Using multiscale simulations (🍸 #Martini + constant-pH MD), we show that: • Local pKa ≠ global pKa • Endosomal escape is limited by persistent protonation. #LNP #MolecularDynamics
Very happy to see our recent work featured on the cover of the Journal of Chemical Theory and Computation 🎉 A long journey with many people involved — grateful to everyone who helped make this happen. Paper: pubs.acs.org/doi/10.1021/... @pubs.acs.org #MyACSCover #JCTC #Martini3
Our collective work with @tbereau.bsky.social and @pauloctsouza.bsky.social labs to automatically parametrize CG models of small molecules is now published in JCTC! Nice Christmas present for 1st author @szczukam.bsky.social and all the coauthors! pubs.acs.org/doi/full/10....
Fast Parametrization of Martini3 Models for Fragments and Small Molecules
Coarse-grained molecular dynamics simulations, such as those performed with the recently parametrized Martini 3 force field, simplify molecular models and enable the study of larger systems over longer time scales. With this new implementation, Martini 3 allows more bead types and sizes, becoming more amenable to studying dynamical phenomena involving small molecules such as protein–ligand interactions and membrane permeation. However, while solutions existed to automatically model small molecules using the previous iteration of the Martini force field, there is no simple way to generate such molecules for Martini 3 yet. Here, we introduce Auto-MartiniM3, an advanced and updated version of the Auto-Martini program designed to automate the coarse-graining of small molecules to be used with the Martini 3 force field. We validated our approach by modeling 81 simple molecules from the Martini Database and comparing their structural and thermodynamic properties with those obtained from models designed by Martini experts. Additionally, we assessed the behavior of Auto-MartiniM3-generated models by calculating solute translocation and free energy across lipid bilayers. We also evaluated more complex molecules such as caffeine by testing its binding to the adenosine A2A receptor. Finally, our results from deploying Auto-MartiniM3 on a large data set of molecular fragments demonstrate that this program can become a tool of choice for fast, high-throughput creation of coarse-grained models of small molecules, offering a good balance between automation and accuracy. Auto-MartiniM3 source code is freely available at https://github.com/Martini-Force-Field-Initiative/Automartini_M3.
pubs.acs.org
Looking forward to #acsfall2025! Hoping to finally meet in person the colleagues I’ve long admired at the @acscomp.bsky.social reception Sunday as well. 😄🍸
🔬 Coarse-Grained Modeling @ ACS Fall 2025 — Program Out Now! 🚀 📍 Washington DC | Aug 17–21 - Wed, Aug 20 AM: LNPs — nucleic acid delivery → viral entry simulations - Wed, Aug 20 PM: Proteins & multiscale modeling - Thu, Aug 21 AM: Methods & industry
Our collaborative work "The #Martini3 #Lipidome: Expanded and Refined Parameters Improve Lipid Phase Behavior" is now published in #ACSCentralScience! 🎉 📄 Read: pubs.acs.org/doi/10.1021/... 💾 GitHub: github.com/Martini-Forc... #MolecularDynamics #Biophysics #Simulations #Lipids
The Martini 3 Lipidome: Expanded and Refined Parameters Improve Lipid Phase Behavior
Lipid membranes are central to cellular life. Complementing experiments, computational modeling has been essential in unraveling complex lipid-biomolecule interactions, crucial in both academia and industry. The Martini model, a coarse-grained force field for efficient molecular dynamics simulations, is widely used to study membrane phenomena but has faced limitations, particularly in capturing realistic lipid phase behavior. Here, we present refined Martini 3 lipid models with a mapping scheme that distinguishes lipid tails that differ by just two carbon atoms, enhancing the structural resolution and thermodynamic accuracy of model membrane systems including ternary mixtures. The expanded Martini lipid library includes thousands of models, enabling simulations of complex and biologically relevant systems. These advancements establish Martini as a robust platform for lipid-based simulations across diverse fields.
pubs.acs.org
🚀 New preprint out! "Fast Parameterization of #Martini3 Models for Fragments and Small Molecules" is now on #bioRxiv 👉 doi.org/10.1101/2025... #AutoMartiniM3 – tool for automated #CG modeling. With @matthchavent.bsky.social, @tbereau.bsky.social and others. #CoarseGraining #MD #DrugDiscovery
Very happy to release AutoMartiniM3 for Martini3 to automatize CG modelling of small molecules and fragments. Great work from M Szczuka in my lab in collab with @pauloctsouza.bsky.social and @tbereau.bsky.social teams! Give it a try: github.com/Martini-Forc... poke @cg-martini.bsky.social
New paper out in Nature Communications from @natureportfolio.nature.com : We present #GōMartini 3 — combining structure-based Gōwith #Martini3 to better capture #protein conformational changes and environmental effects. 📄 www.nature.com/articles/s41...
GōMartini 3: From large conformational changes in proteins to environmental bias corrections - Nature Communications
This work presents GōMartini 3, an improved coarse-grained protein model combining physics- and structure-based approaches. It boosts computational efficiency and accuracy for structured soluble and m...
nature.com
🔬Just published in Bioinformatics Advances: "Challenges in predicting PROTAC-mediated protein-protein interfaces with AlphaFold reveal a general limitation on small interfaces": https://doi.org/10.1093/bioadv/vbaf056 #ProteinDesign #AlphaFold #StructuralBiology @pauloctsouza.bsky.social
doi.org
🎉 Big news! 🎉 Together with Jianing Li (Purdue Univ.) & John Shelley (@schrodingerinc.bsky.social), I’m organizing a symposium on #CG #Modeling for Molecular & Formulation Design at ACS Fall 2025 (Aug 17-21, Washington, DC)! 🔬✨ For my part, I am grateful for the support of @ensdelyon.bsky.social!
🚀 Check out our latest review, "Computational Methods for Modeling Lipid-Mediated Active Pharmaceutical Ingredient Delivery", now published in Molecular Pharmaceutics (@ACS Journals)! 🧪📖 🔗 Read here: doi.org/10.1021/acs....
Computational Methods for Modeling Lipid-Mediated Active Pharmaceutical Ingredient Delivery
Lipid-mediated delivery of active pharmaceutical ingredients (API) opened new possibilities in advanced therapies. By encapsulating an API into a lipid nanocarrier (LNC), one can safely deliver APIs n...
doi.org
So seems like the group is on a roll this month! Here’s our latest work on parametrising coarse-grained models of sugars (disaccharides) by Astrid Brandner & in collaboration with Iain Smith, @pauloctsouza.bsky.social and @cg-martini.bsky.social pubs.acs.org/doi/10.1021/... #glycotime
Systematic Approach to Parametrization of Disaccharides for the Martini 3 Coarse-Grained Force Field
Sugars are ubiquitous in biology; they occur in all kingdoms of life. Despite their prevalence, they have often been somewhat neglected in studies of structure–dynamics–function relationships of macro...
pubs.acs.org
After some work, we’ve now made the #GitHub for our #Martini3 #LNP models and protocols publicly available: github.com/Martini-Forc... We also have a new #ChemRxiv with some minor updates: chemrxiv.org/engage/chemr... #LipidNanoparticles #MolecularDynamics #DrugDelivery #mRNA #Simulation
Excited to announce the release of our preprint, "The Martini 3 Lipidome: Expanded and Refined Parameters Improve Lipid Phase Behavior", now available on @chemrxiv.bsky.social 👉 Read the full preprint here: chemrxiv.org/engage/chemr...
Martini 3 parameters for carbon nanomaterials, including my nanotubes. #CompChem chemrxiv.org/engage/chemr...
Martini 3 coarse-grained models for carbon nanomaterials
The Martini model is a coarse-grained force field allowing simulations of biomolecular systems as well as a range of materials, including different types of nanomaterials of technological interest. Re...
chemrxiv.org
Excited to share that our recent research using #Martini3 #CG simulations on the role of Spc2 in the yeast signal peptidase complex (SPC) has been published in the Journal of Cell Biology. Read the full article here: rupress.org/jcb/article/...