Evidence map›Paper›PMID 37810910›Full record

ArticleInternational journal of analytical chemistry2023

QSPR Modeling of Fungicides Using Topological Descriptors.

Saima Parveen, Fatima Saeed, Fozia Bashir Farooq, Nusrat Parveen, Nazeran Idrees, Sumiya Nasir, Rakotondrajao Fanja

Abstract read
In one paragraph

Article in International journal of analytical chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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

7 authors.

Saima ParveenGovernment College University Faisalabad, Faisalabad 38000, Pakistan.ORCID https://orcid.org/0000-0003-2700-0433
Fatima SaeedGovernment College University Faisalabad, Faisalabad 38000, Pakistan.
Fozia Bashir FarooqImam Muhammad Ibn Saud Islamic University, Riyadh, Saudi Arabia.
Nusrat ParveenGovernment College University Faisalabad, Faisalabad 38000, Pakistan.
Nazeran IdreesGovernment College University Faisalabad, Faisalabad 38000, Pakistan.ORCID https://orcid.org/0000-0002-2578-9816
Sumiya NasirPrince Mohammad Bin Fahd University, Khobar 31952, Saudi Arabia.
Rakotondrajao FanjaAntananarivo University, Antananarivo, Madagascar.ORCID https://orcid.org/0000-0003-4034-2964

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A topological index is a real number that is obtained from a chemical graph's structure. Determining the physiochemical and biological characteristics of a variety of medications is useful since it more accurately represents the theoretical characteristics of organic molecules. This is accomplished using degree-based topological indices. The QSPR research has improved the structural understanding of the physiochemical properties of fungicides. Thirteen fungicides are examined for some of their physiochemical properties, and a QSPR model is built using nine of the drugs' topological indices. Here, we examine the degree to which the topological indices and physiochemical attributes are connected. To do this, we create networks connecting each of the topological indices to the properties of fungicides and computationally construct topological indices of the drugs mentioned above. According to this QSPR model, the melting point, boiling point, flash point, complexity, surface tension, etc. of fungicides are strongly connected. It was discovered that the topological indices (TIs) applied to the fungicides more accurately represent their theoretical features and show a strong correlation with their physical attributes.

Identifiers

PMID37810910
PMCPMC10560116

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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.