Carpachromene Antimicrobial Activity Data from Integrated In-Silico and In-Vitro Study
by Aarif Nazir·Updated 1mo ago
1.9 MB1files
Available on 1 platform
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Description
Supplementary file 1 contains data from a study investigating the antimicrobial activity of carpachromene, a phytochemical from Verbascum thapsus L. The 1.9 MB DOCX file, authored by Aarif Nazir and last updated in April 2026, includes results from molecular docking, dynamics simulations, and in-vitro testing against bacterial and fungal pathogens.
Use Cases
Validate molecular docking binding affinities based on reported scores ranging from -9.3 to -10.5 kcal/mol.
Analyze molecular dynamics simulation stability metrics based on RMSD (1.2–1.5 Å) and RMSF (0.69–1.07 Å) values.
Correlate in-silico predictions with in-vitro antimicrobial efficacy based on reported inhibition zones (e.g., 21 mm against S. enterica).
Study supradecoration strategies for phytochemical optimization based on the mechanistic insights described.
Strengths
Includes specific quantitative results from docking studies, with binding affinities reported for four key protein targets.
Correlates computational findings with in-vitro experimental data against six bacterial and three fungal clinical isolates.
Documentation details the isolation and spectroscopic confirmation (XRD, FTIR, NMR) of the studied compound.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
The data is contained within a DOCX file, which may require parsing to extract structured information.
Provenance
Source
Aarif Nazir via figshare.
Collection Method
Data generated from an integrated study involving cold extraction, chromatography, spectroscopic analysis, molecular docking, dynamics simulations, and agar well-diffusion assays.
Time Range
Study period not specified.
Freshness
Last updated 2026-04-17 07:19:24; freshness should be verified.
Geography
Plant source is the Kashmir Himalaya; pathogens include clinical isolates and MTCC strains.
Data is in a DOCX file format; users may need to extract tables or text programmatically.