Pablo Arantes

@pabloarantes.bsky.social

#compchem Research Scientist at Vita Nova Institute- Work interests mostly related to the simulation of biomolecular systems - Lead developer of the Making It Rain, Cloud-Bind and ParametrizANI projects. https://pablo-arantes.github.io/

🚀 ParametrizANI is now a Python package! From SMILES to AMBER/GROMACS/OpenMM force field parameters in one script, powered by neural network potentials (TorchANI, MACE-OFF, AIMNet2, xTB). DFT-level accuracy, CPU-only. 📦 github.com/pablo-arantes/ParametrizANI 📚 parametrizani.readthedocs.io 🧵1/4

GitHub - pablo-arantes/ParametrizANI: Free Parametrization for Small Molecules

Free Parametrization for Small Molecules. Contribute to pablo-arantes/ParametrizANI development by creating an account on GitHub.

github.com

I'm super excited to announce the first preprint of my PhD, together with Chenxi Ou and @sokrypton.org! ML has revolutionized protein modeling, but crucial challenges remain. For example, we can't reliably predict complicated protein structures without MSAs, which limits what we can design.

🎉 New publication in JCIM at @pubs.acs.org! We present eRMSF, a Python package for ensemble-based RMSF analysis of biomolecular systems, supporting MD, PDB, and ML ensembles. Proud to collaborate with Rodrigo Ligabue-Braun and @conradopedebos.bsky.social pubs.acs.org/doi/10.1021/...

eRMSF: A Python Package for Ensemble-Based RMSF Analysis of Biomolecular Systems

Understanding molecular flexibility and dynamics across different structural ensembles is essential for interpreting the behavior of complex biological systems. Here, we introduce eRMSF, a fast and user-friendly Python package built with MDAKit from MDAnalysis, designed to perform ensemble-based root mean square fluctuation (RMSF) analyses. Unlike traditional approaches limited to molecular dynamics trajectories, eRMSF extends flexibility analysis to ensembles generated by different methods, such as MD simulations, BioEmu (a deep learning tool for equilibrium ensemble prediction), subsampled AlphaFold2 (AlphaFold ensemble generation), and other computational or experimental sources. By enabling RMSF calculations across heterogeneous ensembles, eRMSF provides a unified framework to evaluate residue or atomic fluctuations in both simulated and predicted structures. Users can easily customize atom, residue, or region selections, tailoring analyses to specific research questions. This approach delivers high-resolution insights into localized motions, complements global stability assessments, and reveals dynamic regions often overlooked by single-method analyses. The repository for eRMSF is available at https://github.com/pablo-arantes/ermsfkit.

pubs.acs.org

Exciting news for molecular research! Introducing ParametrizANI: a fast, accurate, & free tool for small molecule parametrization! We're democratizing research, enabling teams of all sizes to perform dihedral parametrization with DFT-level accuracy. 1/8 doi.org/10.26434/che...

ParametrizANI: Fast, Accurate, and Free Parametrization for Small Molecules

In molecular studies, the accurate parametrization of small molecules stands as an essential yet growing demand. Addressing this, we introduce ParametrizANI, a tool crafted explicitly for establishing...

doi.org

🚨BREAKING: 300+ NIH employees call out the harm of censorship & politicized science in scathing email to Bhattacharya, demanding an end to political interference, a lift on funding freezes, & rehiring of fired staff whose work saves lives. This is historic - insiders are blowing the whistle. 🧵(1/5)

Front-page-style graphic titled “BREAKING NEWS” with photos of RFK Jr. and Dr. Bhattacharya in front of a government hearing chamber. Text reads: “NIH Scientists Sound the Alarm as Health Research Faces Historic Threat” and “NIH Employees Send Trump Cronies Scathing Wake-Up Call.”

This is the kind of message that makes it all worth it. When someone takes a moment to say thank you, it reminds me why we keep pushing forward—sharing tools, writing posts, and trying to make science more open and accessible. Grateful for the kind words!

Bild

I’ve just updated the BioEmu notebook to include the powerful LogMD. Now, you can generate equilibrium ensembles and explore the full ensemble directly in the notebook. A huge thanks to Alexander Mathiasen for the support! 🙌 🔗 Try it on Google Colab: lnkd.in/gcuqd-fT

Pablo Arantes@pabloarantes.bsky.social · 2y ago

🎓 BioEmu is based on the paper: 📄 Scalable emulation of protein equilibrium ensembles with generative deep learning 👨‍🔬 Authors: SarahLewis & @franknoe.bsky.social (corresponding), et al. 📌 Read it here: doi.org/10.1101/2024...

The d0 is key to eliminating the dependence of the TM score on alignment/structure length. It's easier for two short proteins to be randomly similar than it is for two very large proteins. A bit Bayesian: short proteins require better evidence for similarity than large ones. Better p(data | model)

Figure from Zhang and Skolnigk paper on how d0 makes TM score length-independent for random unrelated protein pairs of same length.The value of d0 as a function of length. It's a cube root.

Have any academic researchers started hearing about cuts/holds on federal grants from other federal agencies outside of NIH? I got a concerning message today about a grant hold, and it seems to be the same politics. Not surprising, but further worrying ... 😨

Nazis: "that's a nazi salute" Historians: "that's a nazi salute" Average person: "that's a nazi salute" The Media: "Elon Musk makes odd gesture throwing his heart to the crowd."