Evidence map›Paper›PMID 37234107›Full record

ArticleJACS Au2023

The Role of Receptor Uniformity in Multivalent Binding.

Xiuyang Xia, Ge Zhang, Massimo Pica Ciamarra, Yang Jiao, Ran Ni

Abstract read
In one paragraph

Article in JACS Au, 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. Entropy-Driven Physical Amplification in Multivalent Biosensing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  2. Article
  3. Phase-transition-like behaviors of sequence-selective dynamic bonds.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  4. Article
  5. Reciprocity in dynamics of supramolecular biosystems for the clustering of ligands and receptors.Proceedings of the National Academy of Sciences of the United States of America · 2025
    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

5 authors.

Xiuyang XiaSchool of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, 62 Nanyang Drive, 637459 Singapore.ORCID https://orcid.org/0000-0002-4851-4057
Ge ZhangDepartment of Physics, City University of Hong Kong, 518057 Kowloon, Hong Kong China.
Massimo Pica CiamarraDivision of Physics and Applied Physics, School of Physical and Mathematical Sciences, Nanyang Technological University, 21 Nanyang Link, 637371 Singapore.ORCID https://orcid.org/0000-0001-8931-9058
Yang JiaoMaterials Science and Engineering, Arizona State University, Tempe, Arizona 85287, United States.
Ran NiSchool of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, 62 Nanyang Drive, 637459 Singapore.ORCID https://orcid.org/0000-0001-9478-0674

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multivalency is prevalent in various biological systems and applications due to the superselectivity that arises from the cooperativity of multivalent binding. Traditionally, it was thought that weaker individual binding would improve the selectivity in multivalent targeting. Here, using analytical mean field theory and Monte Carlo simulations, we discover that, for receptors that are highly uniformly distributed, the highest selectivity occurs at an intermediate binding energy and can be significantly greater than the weak binding limit. This is caused by an exponential relationship between the bound fraction and receptor concentration, which is influenced by both the strength and combinatorial entropy of binding. Our findings not only provide new guidelines for the rational design of biosensors using multivalent nanoparticles but also introduce a new perspective in understanding biological processes involving multivalency.

Identifiers

PMID37234107
PMCPMC10207130

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Registered trials

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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.