Evidence map›Paper›PMID 35631461›Full record

ArticlePharmaceuticals (Basel, Switzerland)2022

A Combination of Pharmacophore-Based Virtual Screening, Structure-Based Lead Optimization, and DFT Study for the Identification of

Srimai Vuppala, Jaeyoung Kim, Bo-Sun Joo, Ji-Myung Choi, Joonkyung Jang

Abstract read
In one paragraph

Article in Pharmaceuticals (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Down-regulation of β-lactam antibiotics resistance and biofilm formation byFrontiers in cellular and infection microbiology · 2023
    Article
  6. Review
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

5 authors.

Srimai VuppalaDepartment of Nanoenergy Engineering, Pusan National University, Busan 46241, Korea.
Jaeyoung KimDepartment of Nanoenergy Engineering, Pusan National University, Busan 46241, Korea.ORCID 0000-0002-3592-2932
Bo-Sun JooInfertility Institute, Pohang Women's Hospital, Pohang 37754, Korea.
Ji-Myung ChoiLab-to-Medi CRO, 12 Dosandae-ro-8-gil, Seoul 06038, Korea.
Joonkyung JangDepartment of Nanoenergy Engineering, Pusan National University, Busan 46241, Korea.ORCID 0000-0001-9028-0605

Funding

National Research Foundation of Korea 2020R1A2C2014089National Research Foundation of Korea 2021R1A2C1010936
6 · The paper itself

Abstract

The transcriptional regulator (TcaR) enzyme plays an important role in biofilm formation. Prevention of TcaR-DNA complex formation leads to inhibit the biofilm formation is likely to reveal therapeutic ways for the treatment of bacterial infections. To identify the novel ligands for TcaR and to provide a new idea for drug design, two efficient drug design methods, such as pharmacophore modeling and structure-based drug design, were used for virtual screening of database and lead optimization, respectively. Gemifloxacin (FDA-approved drug) was considered to generate the pharmacophore model for virtual screening of the ZINC database, and five hits, namely ZINC77906236, ZINC09550296, ZINC77906466, ZINC09751390, and ZINC01269201, were identified as novel inhibitors of TcaR with better binding energies. Using structure-based drug design, a set of 7a-7p inhibitors of

Indexed as

bacterial infectionsbiofilmdrug designmolecular dockingTcaR

Identifiers

PMID35631461
PMCPMC9146354

What OpenQuestion holds

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Registered trials

None linked

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.