A toolkit for working with coarse-grain systems
-
Updated
Sep 7, 2026 - Python
A toolkit for working with coarse-grain systems
Efficient Protein Backmapping via Constraint Decoupled Latent Diffusion
Microstate Sparse Reconstruction (MSR): a backmapping method that recovers all-atom structures from reduced/coarse-grained variables
Python code to produce Parker's like solar wind modeling (isopoly) including expansion factor effects, and streamline tracing (Dakeyo et al. 2024b).
Utilizing TensorFlow and Python, we employ a CNN-based AI model to convert atomistic DOPC lipids into a coarse-grained representation, enhancing molecular dynamics simulations and structural analysis.
BackMapNet is a deep-learning framework for reconstructing all-atom protein coordinates from coarse-grained (CG) trajectories.
To associate your repository with the backmapping topic, visit your repo's landing page and select "manage topics."