Working with molecular structures in pandas DataFrames
Jupyter widget to interactively view molecular structures and trajectories
Autoencoder network for learning a continuous representation of molecular structures.
Describe and apply transformation on molecular structures and topologies
Calculation of interatomic interactions in molecular structures
G-SchNet - a generative model for 3d molecular structures
Calculation of interatomic interactions in molecular structures
Computes a molecular graph for protein structures.
Modeling molecular ensembles with scalable data structures and parallel computing
ASAP is a package that can quickly analyze and visualize datasets of crystal or molecular structures.
Applies linear transformation to molecular structures and writes them to a PDB file
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
Molecular simulation in Julia
MaSIF- Molecular surface interaction fingerprints. Geometric deep learning to decipher patterns in molecular surfaces.
Molecular dynamics simulation software
MolMapNet: An Efficient ConvNet with Knowledge-based Molecular Represenations for Molecular Deep Learning
Search, molecular modeling and molecular docking of peptides.
Graphics Processing Units Molecular Dynamics