Evidence map›Paper›PMID 23585218›Full record

ArticleJournal of computer-aided molecular design2013

An informatic pipeline for managing high-throughput screening experiments and analyzing data from stereochemically diverse libraries.

Carol A Mulrooney, David L Lahr, Michael J Quintin, Willmen Youngsaye, Dennis Moccia, Jacob K Asiedu, Evan L Mulligan, Lakshmi B Akella, Lisa A Marcaurelle, Philip Montgomery and 7 more

Open access · greenAbstract read
In one paragraph

Article in Journal of computer-aided molecular design, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Novel tricyclic glycal-basedMedChemComm · 2018
    Article
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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

17 authors at 1 institution in 1 country.

Carol A MulrooneyChemical Biology Platform, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA. carolm@broadinstitute.org
David L Lahr
Michael J Quintin
Willmen Youngsaye
Dennis Moccia
Jacob K Asiedu
Evan L Mulligan
Lakshmi B Akella
Lisa A Marcaurelle
Philip Montgomery
Joshua A Bittker
Paul A Clemons
Stephen Brudz
Sivaraman Dandapani
Jeremy R Duvall
Nicola J Tolliday
Andrea De Souza
Broad Institute · US

Funding

User Driven ProjectU54HG005032 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI SCHREIBER, STUART L · 2008 to 2013
$88.1M
The Incubator ProjectP50GM069721 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI SCHREIBER, STUART L · 2003 to 2012
$21.3M
Discovery Pipeline (2 of 4)RL1CA133834 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GOLUB, TODD R. · 2007 to 2011
$9.9M
Driving Medical Projects (4 of 4)RL1GM084437 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI SCOLNICK, EDWARD MARK · 2007 to 2011
$5.9M
Target ID (3 of 4)RL1HG004671 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI SCHREIBER, STUART L · 2007 to 2011
$5.8M
Genomics Based Drug Discovery (1 of 4)UL1DE019585 · NIDCR · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI SCHERER, CHRISTINA ANN · 2008 to 2011
$1.5M
NCI NIH HHS RL1 CA133834NCI NIH HHS U54RL1CA133834NHGRI NIH HHS 1U54HG005032-1NHGRI NIH HHS RL1 HG004671NHGRI NIH HHS RL1HG004671NHGRI NIH HHS U54 HG005032NIDCR NIH HHS UL1 DE019585NIDCR NIH HHS UL1DE019585NIGMS NIH HHS P50 GM069721NIGMS NIH HHS P50GM069721NIGMS NIH HHS RL1 GM084437NIGMS NIH HHS RL1GM084437
6 · The paper itself

Abstract

Integration of flexible data-analysis tools with cheminformatics methods is a prerequisite for successful identification and validation of "hits" in high-throughput screening (HTS) campaigns. We have designed, developed, and implemented a suite of robust yet flexible cheminformatics tools to support HTS activities at the Broad Institute, three of which are described herein. The "hit-calling" tool allows a researcher to set a hit threshold that can be varied during downstream analysis. The results from the hit-calling exercise are reported to a database for record keeping and further data analysis. The "cherry-picking" tool enables creation of an optimized list of hits for confirmatory and follow-up assays from an HTS hit list. This tool allows filtering by computed chemical property and by substructure. In addition, similarity searches can be performed on hits of interest and sets of related compounds can be selected. The third tool, an "S/SAR viewer," has been designed specifically for the Broad Institute's diversity-oriented synthesis (DOS) collection. The compounds in this collection are rich in chiral centers and the full complement of all possible stereoisomers of a given compound are present in the collection. The S/SAR viewer allows rapid identification of both structure/activity relationships and stereo-structure/activity relationships present in HTS data from the DOS collection. Together, these tools enable the prioritization and analysis of hits from diverse compound collections, and enable informed decisions for follow-up biology and chemistry efforts.

Indexed as

Drug DesignHigh-Throughput Screening AssaysStructure-Activity RelationshipAlgorithmsCombinatorial Chemistry TechniquesDatabases, FactualHumans

Identifiers

PMID23585218
PMCPMC5554947
OpenAlexW2043814498

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.