Evidence map›Paper›PMID 31113907›Full record

ArticleAging2019

A small molecular inhibitor of LRRK1 identified by homology modeling and virtual screening suppresses osteoclast function, but not osteoclast differentiation,

Mingjue Si, Canjun Zeng, Helen Goodluck, Sandi Shen, Subburaman Mohan, Weirong Xing

Open access · greenAbstract read
In one paragraph

Article in Aging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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

6 authors at 3 institutions in 2 countries.

Mingjue Si *Musculoskeletal Disease Center, Jerry L. Pettis Memorial VA Medical Center, Loma Linda, CA 92357, USA.
Canjun Zeng *Musculoskeletal Disease Center, Jerry L. Pettis Memorial VA Medical Center, Loma Linda, CA 92357, USA.
Helen Goodluck *Musculoskeletal Disease Center, Jerry L. Pettis Memorial VA Medical Center, Loma Linda, CA 92357, USA.
Sandi ShenMusculoskeletal Disease Center, Jerry L. Pettis Memorial VA Medical Center, Loma Linda, CA 92357, USA.
Subburaman MohanMusculoskeletal Disease Center, Jerry L. Pettis Memorial VA Medical Center, Loma Linda, CA 92357, USA.
Weirong XingMusculoskeletal Disease Center, Jerry L. Pettis Memorial VA Medical Center, Loma Linda, CA 92357, USA.
Loma Linda University · USJerry L. Pettis Memorial VA Medical Center · USThird Affiliated Hospital of Southern Medical University · CN

Funding

Development of Small Molecular Weight Inhibitors of Lrrk1 for Treatment of Osteoporosis.R21AR072831 · NIAMS · LOMA LINDA VETERANS ASSN RESEARCH & EDUC · PI XING, WEIRONG · 2018 to 2019
$355k
Mechanisms of Lrrk1 Regulation of Osteoclast FunctionR21AR066831 · NIAMS · LOMA LINDA VETERANS ASSN RESEARCH & EDUC · PI XING, WEIRONG · 2014 to 2015
$334k
NIAMS NIH HHS R21 AR066831NIAMS NIH HHS R21 AR072831
6 · The paper itself

Abstract

We used TGFβ activation kinase 1 as a template to build a 3D structure of the human LRRK1 kinase domain (hLRRK1 KD) and performed small molecule docking. One of the chemicals (IN04) that docked into the pocket was chosen for evaluation of biological effects on osteoclasts (OCs)

Indexed as

AnimalsBone Marrow CellsBone ResorptionCell DifferentiationDrug Evaluation, PreclinicalMice, Inbred C57BLMolecular Docking SimulationOsteoclastsOsteoporosisProtein Serine-Threonine KinasesLrrk1 protein, mouseProtein Serine-Threonine Kinasesbone formationbone resorptionkinase inhibitorLRRK1osteoclast

Identifiers

PMID31113907
PMCPMC6555463
OpenAlexW2944880284

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.