Evidence map›Paper›PMID 39011064›Full record

ReviewScience and technology of advanced materials2024

Enzymatic control of intermolecular interactions for generating synthetic nanoarchitectures in cellular environment.

Weiyi Tan, Qiuxin Zhang, Mikki Lee, William Lau, Bing Xu

Abstract readReview
In one paragraph

Review in Science and technology of advanced materials, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Dynamic Flow-Assisted Nanoarchitectonics.ACS applied materials & interfaces · 2025
    Review
  4. 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.

Weiyi TanDepartment of Chemistry, Brandeis University, Waltham, MA, USA.
Qiuxin ZhangDepartment of Chemistry, Brandeis University, Waltham, MA, USA.
Mikki LeeDepartment of Chemistry, Brandeis University, Waltham, MA, USA.
William LauDepartment of Chemistry, Brandeis University, Waltham, MA, USA.
Bing XuDepartment of Chemistry, Brandeis University, Waltham, MA, USA.

Funding

Subcellular Enzyme-instructed self-assembly for molecular anticancer nanomedicinesR01CA142746 · NCI · BRANDEIS UNIVERSITY · PI Bing Xu · 2010 to 2026
$6.4M
NCI NIH HHS R01 CA142746
6 · The paper itself

Abstract

Nanoarchitectonics, as a technology to arrange nano-sized structural units such as molecules in a desired configuration, requires nano-organization, which usually relies on intermolecular interactions. This review briefly introduces the development of using enzymatic reactions to control intermolecular interactions for generating artificial nanoarchitectures in a cellular environment. We begin the discussion with the early examples and uniqueness of enzymatically controlled self-assembly. Then, we describe examples of generating intracellular nanostructures and their relevant applications. Subsequently, we discuss cases of forming nanostructures on the cell surface via enzymatic reactions. Following that, we highlight the use of enzymatic reactions for creating intercellular nanostructures. Finally, we provide a summary and outlook on the promises and future direction of this strategy. Our aim is to give an updated introduction to the use of enzymatic reaction in regulating intermolecular interactions, a phenomenon ubiquitous in biology but relatively less explored by chemists and materials scientists. Our goal is to stimulate new developments in this simple and versatile approach for addressing societal needs.

Indexed as

cellular responseEnzymenanoarchitectonicpeptidesself-assembly

Identifiers

PMID39011064
PMCPMC11249168

What OpenQuestion holds

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LicenceCC BY-NC
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.