Data & Resources

Models and platforms we maintain, with links to code and papers where available.

Models

Mpipi-Recharged Model
2026
Code availability for the work "Chemically-informed coarse-graining of electrostatic forces in charge-rich biomolecular condensates"
RNA2PS Model
2026
This repository provides the files required to set up and run coarse-grained RNA duplex simulations using the RNA2PS model with LAMMPS.

Platforms

Chemfit
2026
ChemFit is a framework for fitting parameters of models used in computational chemistry, molecular dynamics, and materials science. It provides composable building blocks for constructing objective functions from many independent terms, computing intermediate quantities using simulation workflows, and optimizing model parameters. A small set of core abstractions makes it straightforward to implement custom objective functions and to parallelize their evaluation across objective terms and/or trial parameters.

Other Data

Protein Structural Transitions
2022
Supporting code and Data for the Paper of Tejedor et al entitled "Protein structural transitions critically transform the network connectivity and viscoelasticity of RNA-binding protein condensates but RNA can prevent it"
LAMMPS Mold Package
2024
Lammps package including square-like well potential to implement Mold integration and Lattice mold techniques
Time dependent material properties
2023
Supporting code and Data for the Paper of Tejedor et al entitled "Time-dependent material properties of ageing biomolecular condensates from different viscoelasticity measurements in molecular dynamics simulations"
hnRNPA1 Data Scripts
2024
Repository to benchmark different residue-resolution coarse-grained models using A1-LCD mutants. We provide the LAMMPS scripts and the data files to reproduce the phase diagrams presented in these works: https://doi.org/10.1080/00268976.2024.2425757 https://doi.org/10.1371/journal.pcbi.1012737
TDP-43 Data Scripts
2025
Supporting code and Data for the Paper of Espejo et al entitled "Compositional Control of Aging Kinetics in TDP-43 Condensates" (PRX Life, 2025, https://doi.org/10.1103/w7g3-6rsd). Here we include the code necessary to reproduce the molecular dynamics simulations and analysis of TDP-43 condensate aging presented in our work.

Computing Resources

Our lab utilizes high-performance computing resources for molecular simulations. Lab members have access to:

  • HPC Cluster (1000+ CPU cores, 10+ GPUs)
  • National and International computing allocations
  • Local GPU workstations for development and testing
  • Cloud computing resources