Network analysis for identifying potential anti-virulence targets from whole transcriptome of Pseudomonas aeruginosa and Staphylococcus aureus exposed to certain anti-pathogenic polyherbal formulations
Feny J. Ruparel, Siddhi Shah, Jhanvi H. Patel, Nidhi Thakkar, Gemini Gajera, Vijay Kothari
Journal
- ISSN / E-ISSN
- — / —
- DOI
- 10.33393/dti.2023.2595 ↗
- Volume · Issue · Pages
- 17 · 1 · 58-69
- Publisher
- AboutScience Srl
- Article URL
- https://doi.org/10.33393/dti.2023.2595 ↗
- Article details
- Unverified
Publication date (each date has its type and source)
11 May 2023
OpenAlex publication date · source: OpenAlex
| Type | Date | Source |
|---|---|---|
| OpenAlex publication date | 11 May 2023 | OpenAlex |
Keywords (as given): Pseudomonas aeruginosa; Staphylococcus aureus; polyherbal formulation; transcriptome; hub genes; denitrification; sulfur metabolism; nitrite accumulation; nitrosative stress; sulfur deficiency; SARA; gamma-hemolysin; antimicrobial resistance; antibiotic discovery
HEC Status at Publication Not the journal's current status
HEC Status at PublicationConclusive
HEC status at publication
Recognized
Y
Based on the recorded HEC dataset applicable to the article's publication date. Listed as Y in the HEC list for 2022–23.
- Journal
- Drug Target Insights
- Publication date used
- 11 May 2023 (OpenAlex publication date)
- Applicable HEC period
- 2022–23 (version 2) · 01 Jul 2022 – 30 Jun 2023
- Category
- Y
- Recognition status
- Recognized (OK_RECORD_FOUND)
- Source
- hjrs-2022-23 row 22446
- Verification status
- Verified against source · last verified 16 Oct 2026
This is an automatically generated summary based on the information available on the publication date. Terms & conditions apply.