MolPic: Name/SMILES to Publication-Ready Molecular Figures

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Authors: Ishola Abeeb Akinwumi
Cited by: 0

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