Maciej Majewski

PhD in comp. chem. Currently @sanofi.
Previously in @acellera, @gdefabritiis, @XavierBarril and @JemielityLab labs
He/him

[Maciej Majewski @MacMaje]

I’m happy to share our recent preprint on using neural network potentials (NNPs) for coarse-grained molecular dynamics (CGMD) simulations of proteins. Here's a summary of our findings: 🧵1/8
https://t.co/yAkn5gTvXs

[Cecilia Clementi @CecClementi]

Our development of machine-learned transferable coarse-grained models in now on Nat Chem! https://t.co/HGngd8Vpop
I am so proud of my group for this work! Particularly first authors Nick Charron, Klara Bonneau, @sayeg84, Andrea Guljas.

[Christian Dallago @sacdallago]

@HeinzingerM and I are seeking talented postdocs to support for the Marie Skłodowska-Curie Fellowship! Join our international AI+biology team, collaborate on protein design, and access top labs in the US & EU. Interested? Apply by July 15! Details: https://t.co/acANow4a4q

[Christian Dallago @sacdallago]

GPUs are *fast* at aligning protein sequences (and profiles!). 178x faster than JackHMMER!

In ColabFold, 23x faster end-to-end compared to AlphaFold2 reaching the same accuracy!

You get immediate speedups for all methods leveraging MSAs, from DCA, to PoET, and even AlphaFold3!

[Christian Dallago @sacdallago]

https://t.co/RqGm9YJ4Nm will be next friday.

We haveso many quality submissions -- come meet the authors!

Likewise, we have a fantastic lineup, prizes, food,... Everything to set you up for the next exciting paper!

Also, sign up for the social ASAP: https://t.co/2FNQn2t655

[Christian Dallago @sacdallago]

🏳️🏳️🏳️🏳️🏳️🏳️

OK, ok; my bad!

https://t.co/RqGm9YJ4Nm submission deadline extended to May 23rd.

Remember: it's **UP TO** 5 pages. Subit any below that and you're fine! Just make it sensible, topical & exciting.

[Gianni De Fabritiis @gdefabritiis]

In #ACEGEN, we take advantage of the #TorchRL library of #PyTorch to do generative chemistry. It implements #REINFORCE, #REINVENT, #A2C, #PPO, #PPOD etc. A solid base for #RL in drug discovery. Code available under MIT. @acellera
https://t.co/623ccQM0iy

[Maciej Majewski @MacMaje]

Great opportunity for fresh BSc graduates to do an internship at Sanofi in Barcelona!
Feel free to reach out if you have any questions.

[Sanofi España @SanofiES]

📣¡Llega el #SanofiGraduateProgram 2024-25 con 50 vacantes para roles digitales y empresariales!

Cristina quiere dar un consejo a l@s recién graduad@s que queréis comenzar vuestra carrera profesional en una farmacéutica líder.

🔗https://t.co/OzzUGwEM0d

#SanofiEsTalento

[Acellera @acellera]

We are thrilled to share our new publication https://t.co/r4qA6FH3fw 📚 Using only protein structures and short trajectories, we have trained coarse-grained NNPs capable of maintaining native structures and folding proteins. Thanks to @11carlesnavarro, @MacMaje and @gdefabritiis!

[Acellera @acellera]

Excited to share our latest review article on advancing the frontier of #DrugDiscovery through #MachineLearning! We delve into ML algorithms for predicting molecular properties of small molecules, a key step towards computable drug discovery. 🧪🖥️
🔗 https://t.co/Ics6Pw2v57

[Cecilia Clementi @CecClementi]

I am excited to present this work, result of a 4-year big collaborative project: https://t.co/zb79BH9iz1 #MachineLearning a transferable bottom-up protein force field, trained on force data from over all-atom MD simulations, using physical priors and graph neural networks.🧵⬇️

[JCIM & JCTC Journals @JCIM_JCTC]

👩‍💻 TorchMD: A Deep Learning Framework for Molecular Simulations #JCTC

#OpenAccess 🔓 https://t.co/adS2mEDt4E #MolecularMechanics 📚🔬🖥️

[Maciej Majewski @MacMaje]

Happy to share that my latest paper was published in @NatureComms ! 🥳 #MolecularDynamics #MachineLearning #CoarseGraining #MD #ML #NNP #NatureComms #BiotechNatureComms

[Nature Communications @NatureComms]

MacMaje @gdefabritiis @FrankNoeBerlin @CecClementi @acellera construct coarse-grained molecular potentials using artificial neural networks, accelerating protein dynamics simulations while preserving their thermodynamics.
#BiotechNatureComms

https://t.co/IDlj0BW6sK

[Qian Cheng @sgqcheng]

⁦@MacMaje⁩ ⁦@gdefabritiis⁩ @CecClementi ⁦@acellera⁩ present machine learning coarse-grained potentials of protein thermodynamics. ⁦@NatureComms⁩ #moleculardynamics #coarsegraining #BiotechNatureComms https://t.co/c40blzheqv

[Maciej Majewski @MacMaje]

@DomenecE Thanks!

[Maciej Majewski @MacMaje]

We're expanding our AI team specialising in Biologics. Contact me if you are looking for a job. #Sanofi #job #biologics #ML

[Maciej Majewski @MacMaje]

We're expanding our AI team specialising in Biologics. Contact me if you are looking for a job. #Sanofi #job #biologics #ML

[Maciej Majewski @MacMaje]

I have some news! After 2 amazing years at #Acellera, I'm starting a new chapter at #Sanofi as a Computational Scientist. Excited to chase the miracles of science to improve people's lives! 🚀 #PursueProgress #DiscoverExtraordinary

[Diego del Alamo @DdelAlamo]

"Top-down machine learning of coarse-grained protein force-fields"

General-purpose neural network potentials trained on 15,000 proteins are compared to protein-specific potentials

https://t.co/ntnOehgP8u

[Carles Navarro @11krls]

1/🧵 Happy to share my first preprint!

"Top-down machine learning of coarse-grained protein force-fields"

We've trained a general and protein specific coarse-grained neural network potentials (NNPs) using only protein structures and short molecular dynamic trajectories.