Evidence map›Paper›PMID 29118096›Full record

ReviewEssays in biochemistry2017

The SGC beyond structural genomics: redefining the role of 3D structures by coupling genomic stratification with fragment-based discovery.

Anthony R Bradley, Aude Echalier, Michael Fairhead, Claire Strain-Damerell, Paul Brennan, Alex N Bullock, Nicola A Burgess-Brown, Elisabeth P Carpenter, Opher Gileadi, Brian D Marsden and 4 more

Open access · hybridAbstract readReview
In one paragraph

Review in Essays in biochemistry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

  1. Structural Biology for Target Identification and Validation.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  2. Article
  3. Article
  4. Article
  5. Substrate reduction therapy for inborn errors of metabolism.Emerging topics in life sciences · 2019
    Article
  6. Review
  7. Article
  8. Review
  9. Open drug discovery in Alzheimer's disease.Alzheimer's & dementia (New York, N. Y.)
    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

14 authors at 2 institutions in 2 countries.

Anthony R BradleyStructural Genomics Consortium (SGC), Nuffield Department of Medicine, University of Oxford, Roosevelt Drive, Oxford OX3 7DQ, U.K.
Aude EchalierStructural Genomics Consortium (SGC), Nuffield Department of Medicine, University of Oxford, Roosevelt Drive, Oxford OX3 7DQ, U.K.
Michael FairheadStructural Genomics Consortium (SGC), Nuffield Department of Medicine, University of Oxford, Roosevelt Drive, Oxford OX3 7DQ, U.K.
Claire Strain-DamerellStructural Genomics Consortium (SGC), Nuffield Department of Medicine, University of Oxford, Roosevelt Drive, Oxford OX3 7DQ, U.K.
Paul BrennanStructural Genomics Consortium (SGC), Nuffield Department of Medicine, University of Oxford, Roosevelt Drive, Oxford OX3 7DQ, U.K.
Alex N BullockStructural Genomics Consortium (SGC), Nuffield Department of Medicine, University of Oxford, Roosevelt Drive, Oxford OX3 7DQ, U.K.
Nicola A Burgess-BrownStructural Genomics Consortium (SGC), Nuffield Department of Medicine, University of Oxford, Roosevelt Drive, Oxford OX3 7DQ, U.K.
Elisabeth P CarpenterStructural Genomics Consortium (SGC), Nuffield Department of Medicine, University of Oxford, Roosevelt Drive, Oxford OX3 7DQ, U.K.
Opher GileadiStructural Genomics Consortium (SGC), Nuffield Department of Medicine, University of Oxford, Roosevelt Drive, Oxford OX3 7DQ, U.K.
Brian D MarsdenStructural Genomics Consortium (SGC), Nuffield Department of Medicine, University of Oxford, Roosevelt Drive, Oxford OX3 7DQ, U.K.
Wen Hwa LeeStructural Genomics Consortium (SGC), Nuffield Department of Medicine, University of Oxford, Roosevelt Drive, Oxford OX3 7DQ, U.K.
Wyatt YueStructural Genomics Consortium (SGC), Nuffield Department of Medicine, University of Oxford, Roosevelt Drive, Oxford OX3 7DQ, U.K.
Chas BountraStructural Genomics Consortium (SGC), Nuffield Department of Medicine, University of Oxford, Roosevelt Drive, Oxford OX3 7DQ, U.K.
Frank von DelftStructural Genomics Consortium (SGC), Nuffield Department of Medicine, University of Oxford, Roosevelt Drive, Oxford OX3 7DQ, U.K. frank.vondelt@sgc.ox.ac.uk.
Diamond Light Source · GBUniversity of Johannesburg · ZA

Funding

Medical Research Council MR/P007503/1Wellcome Trust 105605/Z/14/ZWellcome Trust 106169/ZZ14/Z
6 · The paper itself

Abstract

The ongoing explosion in genomics data has long since outpaced the capacity of conventional biochemical methodology to verify the large number of hypotheses that emerge from the analysis of such data. In contrast, it is still a gold-standard for early phenotypic validation towards small-molecule drug discovery to use probe molecules (or tool compounds), notwithstanding the difficulty and cost of generating them. Rational structure-based approaches to ligand discovery have long promised the efficiencies needed to close this divergence; in practice, however, this promise remains largely unfulfilled, for a host of well-rehearsed reasons and despite the huge technical advances spearheaded by the structural genomics initiatives of the noughties. Therefore the current, fourth funding phase of the Structural Genomics Consortium (SGC), building on its extensive experience in structural biology of novel targets and design of protein inhibitors, seeks to redefine what it means to do structural biology for drug discovery. We developed the concept of a Target Enabling Package (TEP) that provides, through reagents, assays and data, the missing link between genetic disease linkage and the development of usefully potent compounds. There are multiple prongs to the ambition: rigorously assessing targets' genetic disease linkages through crowdsourcing to a network of collaborating experts; establishing a systematic approach to generate the protocols and data that comprise each target's TEP; developing new, X-ray-based fragment technologies for generating high quality chemical matter quickly and cheaply; and exploiting a stringently open access model to build multidisciplinary partnerships throughout academia and industry. By learning how to scale these approaches, the SGC aims to make structures finally serve genomics, as originally intended, and demonstrate how 3D structures systematically allow new modes of druggability to be discovered for whole classes of targets.

Indexed as

Drug DesignBinding SitesCombinatorial Chemistry TechniquesCrystallography, X-RayDrug DiscoveryDrugs, InvestigationalGenomicsHumansLigandsMolecular Docking SimulationProtein BindingProteinsSmall Molecule LibrariesStructure-Activity RelationshipDrugs, InvestigationalLigandsProteinsSmall Molecule LibrariesFBDDFragment screeningGenetic hitsSBDDSGCStructural Genomics

Identifiers

PMID29118096
PMCPMC5869235
OpenAlexW2767448403

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.