Evidence map›Paper›PMID 37934366›Full record

ArticleMolecular diversity2024

An in-silico scaffold- hopping approach to design novel inhibitors against gp130: A potential therapeutic application in cancer and Covid-19.

Alankar Roy, Ishani Paul, Shreya Luharuka, Sujay Ray

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular diversity, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 78% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 1 institution in 1 country.

Alankar Roy *Amity Institute of Biotechnology, Amity University, Kolkata, India.
Ishani Paul *Amity Institute of Biotechnology, Amity University, Kolkata, India.
Shreya LuharukaAmity Institute of Biotechnology, Amity University, Kolkata, India.
Sujay RayAmity Institute of Biotechnology, Amity University, Kolkata, India. raysujay@gmail.com.
Amity University · AE

Funding

Indian Council of Medical Research 2019-3336
6 · The paper itself

Abstract

An upregulation of the gp130-signalling cascade has been reported in multiple cancers, making gp130 an attractive target for the development of anticancer drugs. An inverted-funnel-like approach was utilised along with various structure-based drug designing strategies to discover and optimise novel potential inhibitors of gp130. The study resulted in the discovery of 2 ligands- 435 and 510, both of which exhibit a very high-binding affinity towards the gp130 D1 domain which controls cytokine recognition and interaction thus being involved in complexation. The two resulting complexes remained stable over time with the ligands maintaining a steady interaction with the target. This inference is drawn from their RMSD, R

Indexed as

Antineoplastic AgentsCytokine Receptor gp130Drug DesignNeoplasmsComputer SimulationCOVID-19COVID-19 Drug TreatmentHumansLigandsMolecular Docking SimulationMolecular Dynamics SimulationSARS-CoV-2Antineoplastic AgentsCytokine Receptor gp130LigandsCancerDockinggp130Molecular dynamicsScaffold-hoppingStructure-based drug design

Identifiers

PMID37934366
OpenAlexW4388453233

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.