Evidence map›Paper›PMID 33779341›Full record

ArticleExperimental biology and medicine (Maywood, N.J.)2021

Computational prediction of small molecules with predicted binding to FGFR3 and testing biological effects in bone cells.

Subburaman Mohan, Karthikeyan Muthusamy, Selvaraman Nagamani, Chandrasekhar Kesavan

Open access · greenAbstract read
In one paragraph

Article in Experimental biology and medicine (Maywood, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 58% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Review
  2. 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

4 authors at 2 institutions in 2 countries.

Subburaman MohanMusculoskeletal Disease Center, VA Loma Linda Healthcare System, Loma Linda, CA 92357, USA.
Karthikeyan MuthusamyDepartment of Bioinformatics, Alagappa University, Karaikudi 630 004, India.
Selvaraman NagamaniDepartment of Bioinformatics, Alagappa University, Karaikudi 630 004, India.
Chandrasekhar KesavanMusculoskeletal Disease Center, VA Loma Linda Healthcare System, Loma Linda, CA 92357, USA.ORCID 0000-0003-0685-0367
Alagappa University · INLoma Linda University · US

Funding

Transgenic Approaches to Evaluate IGF-I Role in Peak BMDR01AR048139 · NIAMS · LOMA LINDA VETERANS ASSN RESEARCH &EDUC · PI MOHAN, SUBBURAMAN · 2003 to 2025
$4.7M
Transgenic Approaches to Evalute IGF-1 Role in Peak BMDR56AR048139 · NIAMS · LOMA LINDA VETERANS ASSN RESEARCH & EDUC · PI MOHAN, SUBBURAMAN · 2008 to 2008
$258k
BLRD VA IK6 BX005381NIAMS NIH HHS R01 AR048139NIAMS NIH HHS R56 AR048139
6 · The paper itself

Abstract

Activating anabolic receptor-mediated signaling is essential for stimulating new bone formation and for promoting bone healing in humans. Fibroblast growth factor receptor (FGFR) 3 is reported to be an important positive regulator of osteogenesis. Presently, recombinant proteins are used to stimulate FGFR3 function but have limitations for therapy due to expense and stability. Therefore, there is a need for identification of novel small molecules binding to FGFR3 that promote biological function.

Indexed as

Molecular Docking SimulationAnimalsBinding SitesCells, CulturedDrug DiscoveryMiceMice, Inbred C57BLOsteoblastsProtein BindingQuantitative Structure-Activity RelationshipReceptor, Fibroblast Growth Factor, Type 3Small Molecule LibrariesReceptor, Fibroblast Growth Factor, Type 3Small Molecule Librariesalkaline phosphatase activityFGFR3In silicoproliferationsmall molecule therapeuticsvirtual screening

Identifiers

PMID33779341
PMCPMC8326436
OpenAlexW3140799433

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.