Evidence map›Paper›PMID 27564548›Full record

ReviewAccounts of chemical research2016

Using Nature's "Tricks" To Rationally Tune the Binding Properties of Biomolecular Receptors.

Francesco Ricci, Alexis Vallée-Bélisle, Anna J Simon, Alessandro Porchetta, Kevin W Plaxco

Abstract readReview
In one paragraph

Review in Accounts of chemical research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Generalizable Molecular Switch Designs forAccounts of chemical research · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Rationally Designed DNA-Based Scaffolds and Switching Probes for Protein Sensing.Advances in biochemical engineering/biotechnology · 2024
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. On the Rational Design of Cooperative Receptors.Annual review of biophysics · 2023
    Review
  19. Article
  20. Review
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

5 authors.

Francesco RicciChemistry Department, University of Rome , Tor Vergata, Via della Ricerca Scientifica, 00133, Rome, Italy.
Alexis Vallée-BélisleDépartement de Chimie, Université de Montréal , Montréal, Québec H3C 3J7, Canada.
Anna J Simon
Alessandro PorchettaChemistry Department, University of Rome , Tor Vergata, Via della Ricerca Scientifica, 00133, Rome, Italy.
Kevin W Plaxco

Funding

A new approach to quantitative, point-of-care serologyR01AI107936 · NIAID · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI PLAXCO, KEVIN W · 2014 to 2017
$1.4M
A new approach to quantitative, point-of-care serologyR56AI107936 · NIAID · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI PLAXCO, KEVIN W · 2013 to 2013
$343k
NIAID NIH HHS R01 AI107936NIAID NIH HHS R56 AI107936
6 · The paper itself

Abstract

The biosensor community has long focused on achieving the lowest possible detection limits, with specificity (the ability to differentiate between closely similar target molecules) and sensitivity (the ability to differentiate between closely similar target concentrations) largely being relegated to secondary considerations and solved by the inclusion of cumbersome washing and dilution steps or via careful control experimental conditions. Nature, in contrast, cannot afford the luxury of washing and dilution steps, nor can she arbitrarily change the conditions (temperature, pH, ionic strength) under which binding occurs in the homeostatically maintained environment within the cell. This forces evolution to focus at least as much effort on achieving optimal sensitivity and specificity as on achieving low detection limits, leading to the "invention" of a number of mechanisms, such as allostery and cooperativity, by which the useful dynamic range of receptors can be tuned, extended, narrowed, or otherwise optimized by design, rather than by sample manipulation. As the use of biomolecular receptors in artificial technologies matures (i.e., moves away from multistep, laboratory-bound processes and toward, for example, systems supporting continuous in vivo measurement) and these technologies begin to mimic the reagentless single-step convenience of naturally occurring chemoperception systems, the ability to artificially design receptors of enhanced sensitivity and specificity will likely also grow in importance. Thus motivated, we have begun to explore the adaptation of nature's solutions to these problems to the biomolecular receptors often employed in artificial biotechnologies. Using the population-shift mechanism, for example, we have generated nested sets of receptors and allosteric inhibitors that greatly expanded the normally limited (less than 100-fold) useful dynamic range of unmodified molecular and aptamer beacons, enabling the single-step (e.g., dilution-free) measurement of target concentrations across up to 6 orders of magnitude. Using this same approach to rationally introduce sequestration or cooperativity into these receptors, we have likewise narrowed their dynamic range to as little as 1.5-fold, vastly improving the sensitivity with which they respond to small changes in the concentration of their target ligands. Given the ease with which we have been able to introduce these mechanisms into a wide range of DNA-based receptors and the rapidity with which the field of biomolecular design is maturing, we are optimistic that the use of these and similar naturally occurring regulatory mechanisms will provide viable solutions to a range of increasingly important analytical problems.

Indexed as

Biochemical PhenomenaBiosensing TechniquesDNA, Single-StrandedLimit of DetectionMolecular ProbesMutationDNA, Single-StrandedMolecular Probes

Identifiers

PMID27564548
PMCPMC5660318

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.