Evidence map›Paper›PMID 28669027›Full record

ReviewJournal of molecular medicine (Berlin, Germany)2018

The impact of structural biology in medicine illustrated with four case studies.

Tiancen Hu, Elizabeth R Sprague, Michelle Fodor, Travis Stams, Kirk L Clark, Sandra W Cowan-Jacob

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of molecular medicine (Berlin, Germany), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Structural dynamics: review of time-resolved cryo-EM.Acta crystallographica. Section D, Structural biology · 2022
    Review
  2. Review
  3. Review
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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

6 authors.

Tiancen HuNovartis Institutes for Biomedical Research, Cambridge, MA, 02139, USA.
Elizabeth R SpragueNovartis Institutes for Biomedical Research, Cambridge, MA, 02139, USA.
Michelle FodorNovartis Institutes for Biomedical Research, Cambridge, MA, 02139, USA.
Travis StamsNovartis Institutes for Biomedical Research, Cambridge, MA, 02139, USA.
Kirk L ClarkNovartis Institutes for Biomedical Research, Cambridge, MA, 02139, USA.
Sandra W Cowan-JacobNovartis Institutes for Biomedical Research, 4002, Basel, Switzerland. Sandra.jacob@novartis.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The contributions of structural biology to drug discovery have expanded over the last 20 years from structure-based ligand optimization to a broad range of clinically relevant topics including the understanding of disease, target discovery, screening for new types of ligands, discovery of new modes of action, addressing clinical challenges such as side effects or resistance, and providing data to support drug registration. This expansion of scope is due to breakthroughs in the technology, which allow structural information to be obtained rapidly and for more complex molecular systems, but also due to the combination of different technologies such as X-ray, NMR, and other biophysical methods, which allows one to get a more complete molecular understanding of disease and ways to treat it. In this review, we provide examples of the types of impact molecular structure information can have in the clinic for both low molecular weight and biologic drug discovery and describe several case studies from our own work to illustrate some of these contributions.

Indexed as

Drug DiscoveryAnimalsBiological ProductsHumansImmunotherapyMolecular StructureNeoplasmsProtein ConformationReceptor Protein-Tyrosine KinasesBiological ProductsReceptor Protein-Tyrosine KinasesAllostericConformationDrug discoveryInhibitorsStructural biology

Identifiers

What OpenQuestion holds

Textmetadata
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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.