Evidence map›Paper›PMID 41673721›Full record

ArticleJournal of cheminformatics2026

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

Kavin Jacob, Joseph Clement, Micheal Arockiaraj, Aditya Jindal

Abstract read
In one paragraph

Article in Journal of cheminformatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Kavin JacobDepartment of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore, India.
Joseph ClementDepartment of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore, India. clementjmail@gmail.com.
Micheal ArockiarajDepartment of Mathematics, Loyola College, Chennai, India.
Aditya JindalSchool of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

ChemGraphXDegree-based indicesDistance-based indicesEntropy measuresWeb-based tool

Identifiers

PMID41673721
PMCPMC13020044

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.