ArticleScientific reports2025
Characterization of tricyclic anti-depressant drugs efficacy via topological indices.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
Who cites it
7 citing papers in PubMed.
- Integrating Machine Learning Approaches and Topological Indices for Prediction of Electronic Properties in Anticancer Drugs.ACS omega · 2026Article
- QSPR modeling of physicochemical properties of SSRI and SNRI antidepressants using advanced molecular graph descriptors.Scientific reports · 2026Article
- Eccentricity-based topological indices of QSPR modelling using anti-cancer drugs.Frontiers in chemistry · 2026Article
- Chromatic hyper Zagreb topological descriptors and QSPR analysis of certain skin cancer drugs.Frontiers in chemistry · 2026Article
- Structure-efficiency relationship of access group antibiotics via SK chromatic descriptors.Frontiers in chemistry · 2026Article
- QSPR analysis of the drugs used to treat major depressive disorder using degree and neighborhood degree based indices.Frontiers in chemistry · 2026Article
- Topological insights into breast cancer drugs: a QSPR approach using resolving topological indices.Frontiers in chemistry · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Within the context of graph theory, a topological index serves as a numerical descriptor that encapsulates the physicochemical properties of a chemical graph. These are particularly useful in cheminformatics, where they serve as a compact representation of the molecule's structure, capturing various physicochemical properties such as molecular size, shape, branching, and connectivity. These studies are pivotal in the initial phases of drug development, facilitating the identification and optimization of potential pharmaceutical drugs. In this paper, we discuss a range of distance-based topological indices applied to a selection of tricyclic anti-depressant drugs aiming to understand their physicochemical characteristics. Additionally, the quantitative structure-property relationship (QSPR) analysis is explored for distance-based topological indices aim to predict how changes in chemical structure might influence the efficacy and potency of these drugs.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.