Evidence map›Paper›PMID 22889313›Full record

ArticleJournal of medicinal chemistry2012

Toward rational fragment-based lead design without 3D structures.

Morkos A Henen, Nicolas Coudevylle, Leonhard Geist, Robert Konrat

Abstract read
In one paragraph

Article in Journal of medicinal chemistry, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Cromolyn as a novel pharmacophore of the Zα domain of the RNA-editing enzyme ADAR1p150.Protein science : a publication of the Protein Society · 2025
    Article
  2. Review
  3. Applications of Solution NMR in Drug Discovery.Molecules (Basel, Switzerland) · 2021
    Review
  4. Article
  5. Article
  6. NMR contributions to structural dynamics studies of intrinsically disordered proteins.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2014
    Review
  7. Protonation-dependent conformational variability of intrinsically disordered proteins.Protein science : a publication of the Protein Society · 2013
    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.

Morkos A HenenDepartment of Structural and Computational Biology, Max F. Perutz Laboratories, University of Vienna , Vienna Biocenter Campus 5, A-1030 Vienna, Austria.
Nicolas Coudevylle
Leonhard Geist
Robert Konrat

Funding

Austrian Science Fund FWF P 22125
6 · The paper itself

Abstract

Fragment-based lead discovery (FBLD) has become a prime component of the armamentarium of modern drug design programs. FBLD identifies low molecular weight ligands that weakly bind to important biological targets. Three-dimensional structural information about the binding mode is provided by X-ray crystallography or NMR spectroscopy and is subsequently used to improve the lead compounds. Despite tremendous success rates, FBLD relies on the availability of high-resolution structural information, still a bottleneck in drug discovery programs. To overcome these limitations, we recently demonstrated that the meta-structure approach provides an alternative route to rational lead identification in cases where no 3D structure information about the biological target is available. Combined with information-rich NMR data, this strategy provides valuable information for lead development programs. We demonstrate with several examples the feasibility of the combined NMR and meta-structure approach to devise a rational strategy for fragment evolution without resorting to highly resolved protein complex structures.

Indexed as

Drug DesignMolecular Structurebeta CateninCrystallography, X-RayDrug DiscoveryMagnetic Resonance SpectroscopyModels, Molecularbeta Catenin

Identifiers

PMID22889313
PMCPMC3557921

What OpenQuestion holds

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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.