Evidence map›Paper›PMID 27516170›Full record

ReviewNature reviews. Drug discovery2016

Biophysics in drug discovery: impact, challenges and opportunities.

Jean-Paul Renaud, Chun-Wa Chung, U Helena Danielson, Ursula Egner, Michael Hennig, Roderick E Hubbard, Herbert Nar

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Drug discovery, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 128 papers.

0numbers the graph read from it
0cells of the map it votes in
128citing 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

128 citing papers in PubMed.

  1. Article
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  4. Review
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  9. Review
  10. Review
  11. Review
  12. Review
  13. Kinetic and Thermodynamic Analyses of RNA-Protein Interactions.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  14. Review
  15. Generative Deep Learning for de Novo Drug Design─A Chemical Space Odyssey.Journal of chemical information and modeling · 2025
    Review
  16. Target Engagement Assays in Early Drug Discovery.Journal of medicinal chemistry · 2025
    Review
  17. Article
  18. Article
  19. Review
  20. Deciphering the secret codes in NClinical and translational medicine · 2025
    Review

68 more citing papers are in PubMed but not listed here.

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

7 authors.

Jean-Paul RenaudNovAliX, Boulevard Sébastien Brant, 67405 Illkirch Cedex, France.
Chun-Wa ChungGlaxoSmithKline R&D, Gunnels Wood Road, Stevenage, SG1 2NY, UK.
U Helena DanielsonDepartment of Chemistry - BMC and Science for Life Laboratory, Drug Discovery &Development Platform, Uppsala University, SE-751 05 Uppsala, Sweden.
Ursula EgnerBayer Pharma AG, Müllerstrasse 178, 13353 Berlin, Germany.
Michael HennigHoffmann-La Roche Ltd, Grenzacherstrasse 124, 4070 Basel, Switzerland.
Roderick E HubbardUniversity of York, Heslington, York, YO10 5DD, UK.
Herbert NarBoehringer Ingelheim GmbH &Co. KG, Birkendorfer Strasse 65, 88400 Biberach, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the past 25 years, biophysical technologies such as X-ray crystallography, nuclear magnetic resonance spectroscopy, surface plasmon resonance spectroscopy and isothermal titration calorimetry have become key components of drug discovery platforms in many pharmaceutical companies and academic laboratories. There have been great improvements in the speed, sensitivity and range of possible measurements, providing high-resolution mechanistic, kinetic, thermodynamic and structural information on compound-target interactions. This Review provides a framework to understand this evolution by describing the key biophysical methods, the information they can provide and the ways in which they can be applied at different stages of the drug discovery process. We also discuss the challenges for current technologies and future opportunities to use biophysical methods to solve drug discovery problems.

Indexed as

Drug DesignAnimalsBiophysical PhenomenaCalorimetryDrug DiscoveryDrug Evaluation, PreclinicalHigh-Throughput Screening AssaysHumansPharmaceutical PreparationsSurface Plasmon ResonancePharmaceutical Preparations

Identifiers

PMID27516170

What OpenQuestion holds

Textmetadata
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.