ChemGraphX: an open-source web tool for computing topological indices and entropy measures

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Authors: Kavin Jacob, Joseph Clement, Micheal Arockiaraj, Aditya Jindal
Cited by: 0
References: 35

Abstract

Topological indices are invariants derived from graphs, and computing these measures for chemical frameworks is found to have a great impact on quantitative structure-activity/property relationships (QSAPR) analysis by providing insights into the structural properties of chemical frameworks. However, calculating and validating these indices for large chemical systems poses computational challenges. To address this, we have developed ChemGraphX, an open-source web tool that efficiently computes various distance and degree-based topological indices, along with entropy measures. ChemGraphX accepts diverse input formats, including .pdb, .mol, adjacency lists, and adjacency matrices, making it versatile for both chemical and graph-theoretical applications. This article presents a brief description of ChemGraphX, a comparative analysis with existing tools, and discussed the capability and validation of ChemGraphX in computational and graph theoretical chemistry. The study introduces ChemGraphX, a novel web-based tool for computing distance and degree-based topological indices along with their entropy measures. Unlike existing packages, ChemGraphX supports a wider range of indices and entropies with significantly reduced computation time, allowing chemists to efficiently extract these mathematically complex measures directly from common chemical file formats such as .mol and .pdb, thereby facilitating the development of QSAPR models.

Fields of Study & Subjects

Graph theory and applications Computational Drug Discovery Methods Graph Theory and Algorithms

Publication details

Journal / source
Journal of Cheminformatics
Volume
18
Issue
1
Publication date
11 February 2026
Language
EN