Evidence map›Paper›PMID 35928028›Full record

ArticleIn silico pharmacology2022

Identification of potent and novel inhibitors against RAC1: a Rho family GTPase.

Geet Madhukar, Naidu Subbarao

Open access · greenAbstract read
In one paragraph

Article in In silico pharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 48% of its field
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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
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

2 authors at 1 institution in 1 country.

Geet MadhukarSchool of Computational and Integrative Sciences, Jawaharlal Nehru University, 110067 New Delhi, India.
Naidu SubbaraoSchool of Computational and Integrative Sciences, Jawaharlal Nehru University, 110067 New Delhi, India.
Jawaharlal Nehru University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Head and Neck Squamous Cell Carcinoma (HNSCC) is one of the most common form of cancer worldwide. It has high incidence and mortality rate making it one of the top causes of cancer related deaths. Tremendous efforts have being made towards treatment of HNSCC but still the overall survival rate hasn't improved much. Unregulated activation of Rho GTPase Ras-related C3 botulinum toxin substrate 1 or Rac1 has been reported in various tumor such as HNSCC, breast cancer, pancreatic cancer, etc. Rac1 is significant in activation and regulation of multiple signaling pathways and it's aberrant activation leads to uncontrolled proliferation, invasion and metastasis which contributes to the hallmarks of cancer. Therefore for treating proliferative disorders such as cancer, inhibition of Rac1 could be a viable approach. Rho GTPases were earlier considered "undruggable" due to their picomolar binding affinity for their guanine nucleotides. In addition presence of high micromolar concentrations of GDP (> 30 μm) and GTP (> 300 μm) in the cell, led to unsuccessful attempts in identification of potent or selective nucleotide competitive GTPase inhibitors. Therefore we identified small molecule inhibitors that target the GEF binding site of the Rho GTPase instead of nucleotide binding site by performing high throughput screening, molecular dynamics simulations, free energy calculations and protein-ligand interaction studies. As a result of this study, we identified four potential inhibitors against RAC1. This study provides a significant in-depth understanding of the Rho GTPases and can prove beneficial in the development of potential therapeutics against HNSCC.

Indexed as

GTPaseHNSCCInhibitorRas-related C3 botulinum toxin substrate 1 (Rac1)Rho GTPases

Identifiers

PMID35928028
PMCPMC9343513
OpenAlexW4289343092

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.