MolPic: Name/SMILES to Publication-Ready Molecular Figures
Abstract
Here, we present MolPic, an open-source Python-based software that can be used to generate high-resolution, publication-quality molecular figures directly from compound names or SMILES strings. MolPic supports single-molecule rendering, batch processing, and automated multi-panel 2D figure generation, which are suitable for manuscripts and presentations. MolPic generates a scalable vector graphics (SVG) image as the output. MolPic is fully compatible with Linux, macOS, and cloud-based environments such as Google Colab. The software is archived with a permanent DOI and is freely available to the scientific community.
Fields of Study & Subjects
Computational Drug Discovery Methods
Biomedical Text Mining and Ontologies
Cell Image Analysis Techniques
Publication details
- Journal / source
- ChemRxiv
- Publication date
- 9 January 2026
- Document type
- Preprint