
Converting SMILES Strings to 2D Molecular Images
Learn how to create 2D molecular images from SMILES strings using RDKit and PIL, with proper formatting and legends.
Learn how to create 2D molecular images from SMILES strings using RDKit and PIL, with proper formatting and legends.
MARCEL dataset provides 722K+ conformers across 76K+ molecules for drug discovery, catalysis, and molecular …
Henze and Blair's 1931 JACS paper introducing the recursive method for counting alkane isomers, founding mathematical …...
A dataset card for the GEOM dataset, a collection of energy-annotated molecular conformations for property prediction …
A dataset card for the Generated Database 11 (GDB-11), a database of 26.4 million small organic molecules for virtual …
A dataset card for the Generated Database 13 (GDB-13), a database of nearly 1 billion small organic molecules for …
Dataset card for GDB-17, containing 166 billion small organic molecules representing the largest enumerated chemical …
Learn how GEOM transforms 2D molecular graphs into dynamic 3D conformer ensembles for molecular machine learning …
Supervised learning reveals hidden eigenvalue patterns that clustering missed, testing k-NN and logistic regression on …
Clustering analysis reveals why Coulomb matrix eigenvalues struggle with larger alkanes, using Dunn Index and silhouette …
Explore molecular shape recognition using Coulomb matrix eigenvalues. Analysis of alkane isomers from data generation to …
Learn how Coulomb matrices encode 3D molecular structure for machine learning—from basic theory to Python implementation …