Evidence map›Paper›PMID 32402748›Full record

ReviewTrends in biochemical sciences2020

Re-Evaluating the Conventional Wisdom about Binding Assays.

Brandon D Wilson, H Tom Soh

Abstract readReview
In one paragraph

Review in Trends in biochemical sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Biosensors · 2023
    Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Detection ofSensors (Basel, Switzerland) · 2022
    Article
  20. 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

2 authors.

Brandon D WilsonDepartment of Chemical Engineering, Stanford University, Stanford, CA 94305, USA.
H Tom SohDepartment of Electrical Engineering, Stanford University, Stanford, CA 94305, USA; Department of Radiology, Stanford University, Stanford, CA 94305, USA; Chan Zuckerberg Biohub, San Francisco, CA 94158, USA. Electronic address: tsoh@stanford.edu.

Funding

Real-time biosensor for mapping the function of the pancreasOT2OD025342 · OD · STANFORD UNIVERSITY · PI SOH, HYONGSOK TOM · 2018 to 2021
$4.6M
Integrated Instrument for non-natural aptamer generationR01GM129313 · NIGMS · STANFORD UNIVERSITY · PI SOH, HYONGSOK TOM · 2018 to 2021
$1.3M
NIGMS NIH HHS R01 GM129313NIH HHS OT2 OD025342
6 · The paper itself

Abstract

Analytical technologies based on binding assays have evolved substantially since their inception nearly 60 years ago, but our conceptual understanding of molecular recognition has not kept pace. Contemporary technologies, such as single-molecule and digital measurements, have challenged, or even rendered obsolete, core concepts behind conventional binding assay design. Here, we explore the fundamental principles underlying molecular recognition systems, which we consider in terms of signals generated through concentration-dependent shifts in equilibrium. We challenge certain orthodoxies related to binding-based detection assays, including the primary importance of a low dissociation constant (K

Indexed as

Binding SitesLimit of DetectionThermodynamicsaffinity reagentbinding assaysdigital detectionLangmuir isothermspecificity

Identifiers

PMID32402748
PMCPMC7368832

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.