Evidence map›Paper›PMID 37929144›Full record

ArticleACS omega2023

Discovery of Chemical Scaffolds as Lysophosphatidic Acid Receptor 1 Antagonists: Virtual Screening,

Lan Phuong Nguyen, Rasel Ahmed Khan, Soomin Kang, Hobin Lee, Jong-Ik Hwang, Hong-Rae Kim

Open access · goldAbstract read
In one paragraph

Article in ACS omega, 2023. 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 70% 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

6 authors at 1 institution in 1 country.

Lan Phuong NguyenDepartment of Biomedical Sciences, College of Medicine, Korea University, Seoul 02841, Republic of Korea.
Rasel Ahmed KhanDepartment of Biomedical Sciences, College of Medicine, Korea University, Seoul 02841, Republic of Korea.ORCID https://orcid.org/0000-0003-4911-4335
Soomin KangDepartment of Biomedical Sciences, College of Medicine, Korea University, Seoul 02841, Republic of Korea.
Hobin LeeDepartment of Biomedical Sciences, College of Medicine, Korea University, Seoul 02841, Republic of Korea.
Jong-Ik HwangDepartment of Biomedical Sciences, College of Medicine, Korea University, Seoul 02841, Republic of Korea.
Hong-Rae KimDepartment of Biomedical Sciences, College of Medicine, Korea University, Seoul 02841, Republic of Korea.ORCID https://orcid.org/0000-0001-5361-7168
Korea University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lysophosphatidic acid receptor 1 (LPAR1) is an emerging therapeutic target for numerous human diseases including fibrosis. However, the limited number of available core structures of LPAR1 antagonists has prompted the need for novel chemical templates. In this study, we conducted a high-throughput virtual screening to discover potential new scaffolds. We tested three existing crystal structures alongside an AlphaFold model to evaluate their suitability in structure-based virtual screening, finding that the crystal structures show superior performance compared with the predictive model. Furthermore, we also found that enhancing the precision in the screening process did not necessarily improve the enrichment of hits. From the screening campaign, we identified five structures that were validated using an LPAR1-dependent calcium flux assay. To gain a deeper insight into the protein-ligand interaction, we extensively analyzed the binding modes of these compounds using

Identifiers

PMID37929144
PMCPMC10620911
OpenAlexW4387734926

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.