Evidence map›Paper›PMID 36737603›Full record

ReviewAnnual review of biophysics2023

On the Rational Design of Cooperative Receptors.

Gabriel Ortega, Alejandro Chamorro-Garcia, Francesco Ricci, Kevin W Plaxco

Abstract readReview
In one paragraph

Review in Annual review of biophysics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. 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

4 authors.

Gabriel OrtegaPrecision Medicine and Metabolism Laboratory, CIC bioGUNE, Derio, Spain.
Alejandro Chamorro-GarciaDepartment of Chemistry and Biochemistry, University of California, Santa Barbara, California, USA; email: kwp@ucsb.edu.
Francesco RicciDipartimento di Scienze e Tecnologie Chimiche, University of Rome Tor Vergata, Rome, Italy.
Kevin W PlaxcoDepartment of Chemistry and Biochemistry, University of California, Santa Barbara, California, USA; email: kwp@ucsb.edu.

Funding

Bio-electrochemical detectors for in vivo continuous monitoringR01EB022015 · NIBIB · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI KIPPIN, TOD EDWARD, PLAXCO, KEVIN W · 2017 to 2025
$4.6M
Harnessing cooperativity to achieve high-precision in vivo measurementsR01EB035027 · NIBIB · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI Tod Edward Kippin · 2023 to 2026
$2.3M
NIBIB NIH HHS R01 EB022015NIBIB NIH HHS R01 EB035027
6 · The paper itself

Abstract

Cooperativity (homotropic allostery) is the primary mechanism by which evolution steepens the binding curves of biomolecular receptors to produce more responsive input-output behavior in biomolecular systems. Motivated by the ubiquity with which nature employs this effect, over the past 15 years we, together with other groups, have engineered this mechanism into several otherwise noncooperative receptors. These efforts largely aimed to improve the utility of such receptors in artificial biotechnologies, such as synthetic biology and biosensors, but they have also provided the first quantitative, experimental tests of longstanding ideas about the mechanisms underlying cooperativity. In this article, we review the literature on the design of this effect, paying particular attention to the design strategies involved, the extent to which each can be rationally applied to (and optimized for) new receptors, and what each teaches us about the origins and optimization of this important phenomenon.

Indexed as

Protein EngineeringSynthetic Biologyallosterismaptamersbinding-induced foldingbioengineeringbiosensorspopulation shiftsynthetic biology

Identifiers

PMID36737603
PMCPMC11824748

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.