Evidence map›Paper›PMID 23352136›Full record

ArticleChemistry & biology2013

HTS by NMR of combinatorial libraries: a fragment-based approach to ligand discovery.

Bainan Wu, Ziming Zhang, Roberta Noberini, Elisa Barile, Marc Giulianotti, Clemencia Pinilla, Richard A Houghten, Elena B Pasquale, Maurizio Pellecchia

Abstract read
In one paragraph

Article in Chemistry & biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
13.1field-weighted citation impact, top 1% 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

43 citing papers in PubMed, 79 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Bainan WuSanford-Burnham Medical Research Institute, 10901 North Torrey Pines Road, La Jolla, CA 92037, USA.
Ziming Zhang
Roberta Noberini
Elisa Barile
Marc Giulianotti
Clemencia Pinilla
Richard A Houghten
Elena B Pasquale
Maurizio Pellecchia
Sanford Burnham Prebys Medical Discovery Institute · USTorrey Pines Institute For Molecular Studies · US

Funding

Targeting Eph receptors in cancerP01CA138390 · NCI · SANFORD BURNHAM PREBYS MEDICAL DISCOVERY INSTITUTE · PI PASQUALE, ELENA B · 2010 to 2014
$7.3M
Mcl-1 in apoptosis and signal transduction: a structure/function approachR01CA168517 · NCI · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI PELLECCHIA, MAURIZIO · 2012 to 2024
$4.7M
High throughput in vivo screening: translational generation of novel analgesicsR01DA031370 · NIDA · TORREY PINES INST FOR MOLECULAR STUDIES · PI HOUGHTEN, RICHARD ALLEN · 2011 to 2015
$2.2M
NCI NIH HHS P01 CA138390NCI NIH HHS P01CA138390NCI NIH HHS R01 CA168517NIDA NIH HHS 1R01DA031370-01NIDA NIH HHS R01 DA031370
6 · The paper itself

Abstract

Fragment-based ligand design (FBLD) approaches have become more widely used in drug discovery projects from both academia and industry, and are even often preferred to traditional high-throughput screening (HTS) of large collection of compounds (>10(5)). A key advantage of FBLD approaches is that these often rely on robust biophysical methods such as NMR spectroscopy for detection of ligand binding, hence are less prone to artifacts that too often plague the results from HTS campaigns. In this article, we introduce a screening strategy that takes advantage of both the robustness of protein NMR spectroscopy as the detection method, and the basic principles of combinatorial chemistry to enable the screening of large libraries of fragments (>10(5) compounds) preassembled on a common backbone. We used the method to identify compounds that target protein-protein interactions.

Indexed as

Drug DesignCombinatorial Chemistry TechniquesHigh-Throughput Screening AssaysHumansLigandsMagnetic Resonance SpectroscopyModels, MolecularProtein Structure, TertiaryReceptor, EphA4Small Molecule LibrariesStructure-Activity RelationshipX-Linked Inhibitor of Apoptosis ProteinLigandsReceptor, EphA4Small Molecule LibrariesX-Linked Inhibitor of Apoptosis Protein

Identifiers

PMID23352136
PMCPMC3966493
OpenAlexW2083278814

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.