Evidence map›Paper›PMID 30682260›Full record

ArticleSLAS discovery : advancing life sciences R & D2019

The Scripps Molecular Screening Center and Translational Research Institute.

Pierre Baillargeon, Virneliz Fernandez-Vega, Banu Priya Sridharan, Steven Brown, Patrick R Griffin, Hugh Rosen, Benjamin Cravatt, Louis Scampavia, Timothy P Spicer

Abstract read
In one paragraph

Article in SLAS discovery : advancing life sciences R & D, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. High throughput screening for SARS-CoV-2 inhibitors targeting 5 helix bundle.SLAS discovery : advancing life sciences R & D · 2025
    Article
  5. Article
  6. SARS-CoV-2 MSLAS discovery : advancing life sciences R & D · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. High throughput screening for compounds to the orphan nuclear receptor NR2F6.SLAS discovery : advancing life sciences R & D · 2022
    Article
  11. Article
  12. Identification of Potential Modulators of the RGS7/Gβ5/R7BP Complex.SLAS discovery : advancing life sciences R & D · 2021
    Article
  13. Article
  14. Article
  15. The Academic Pill: How Academia Contributes to Curing Diseases.SLAS discovery : advancing life sciences R & D · 2019
    Article
  16. 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

9 authors.

Pierre Baillargeon1 Department of Molecular Medicine, Scripps Research Florida, Jupiter, FL, USA.
Virneliz Fernandez-Vega1 Department of Molecular Medicine, Scripps Research Florida, Jupiter, FL, USA.
Banu Priya Sridharan1 Department of Molecular Medicine, Scripps Research Florida, Jupiter, FL, USA.
Steven Brown2 Department of Molecular Medicine, Scripps Research California, La Jolla, CA, USA.
Patrick R Griffin1 Department of Molecular Medicine, Scripps Research Florida, Jupiter, FL, USA.
Hugh Rosen2 Department of Molecular Medicine, Scripps Research California, La Jolla, CA, USA.
Benjamin Cravatt2 Department of Molecular Medicine, Scripps Research California, La Jolla, CA, USA.
Louis Scampavia1 Department of Molecular Medicine, Scripps Research Florida, Jupiter, FL, USA.
Timothy P Spicer1 Department of Molecular Medicine, Scripps Research Florida, Jupiter, FL, USA.ORCID 0000-0002-9080-4226

Funding

UHTS Implementation(Florida)U54MH084512 · NIMH · SCRIPPS RESEARCH INSTITUTE, THE · PI BROWN, STEVEN J · 2008 to 2013
$89.2M
Optimization of S1P3 antagonists for fibrotic diseaseR01AR069877 · NIAMS · SCRIPPS RESEARCH INSTITUTE, THE · PI ROSEN, HUGH · 2016 to 2018
$1.8M
Advanced Development and Validation of 3 Dimensional Spheroid Culture of Primary Cancer Cells using Nano3D TechnologyR33CA206949 · NCI · SCRIPPS FLORIDA · PI SPICER, TIMOTHY PATRICK · 2016 to 2019
$1.6M
NCI NIH HHS R33 CA206949NIAMS NIH HHS R01 AR069877NIMH NIH HHS U54 MH084512
6 · The paper itself

Abstract

The Scripps Research Molecular Screening Center (SRMSC) was founded in 2004 and comprises more than $22 million of specialized automation. As part of the Translational Research Institute (TRI), it comprises early drug discovery labs and medicinal chemistry. Together with Scripps Research at the La Jolla, California, campus, this represents one of the most competitive academic industrial screening centers worldwide. The SRMSC uses automated platforms, one a screening cell and the other a cherry-picking platform. Matched technologies are available throughout Scripps to allow scientists to develop assays and prepare them for automated screening. The library comprises more than 1 million drug-like compounds, including a proprietary collection of >665,000 molecules. Internal chemistry has included ~40,000 unique compounds that are not found elsewhere. These collections are screened against a myriad of disease targets, including cell-based and biochemical assays that are provided by Scripps faculty or from global investigators. Scripps has proven competence in all detection formats, including high-content analysis, fluorescence, bioluminescence resonance energy transfer (BRET), time-resolved fluorescence resonance energy transfer (TR-FRET), fluorescence polarization (FP), luminescence, absorbance, AlphaScreen, and Ca++ signaling. These technologies are applied to NIH-derived collaborations as well as biotech and pharma initiatives. The SRMSC and TRI are recognized for discovering multiple leads, including Ozanimod.

Indexed as

Academies and InstitutesTranslational Research, BiomedicalAutomationCaliforniaDrug DiscoveryHigh-Throughput Screening AssaysHumansSoftwareautomationdrug discoveryhigh-throughput screeningMLPCNprobes

Identifiers

PMID30682260
PMCPMC7724958

What OpenQuestion holds

Textmetadata
LicenceTDM
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.