Evidence map›Paper›PMID 34817487›Full record

ReviewChemical communications (Cambridge, England)2021

Enzymatic noncovalent synthesis of peptide assemblies generates multimolecular crowding in cells for biomedical applications.

Meihui Yi, Weiyi Tan, Jiaqi Guo, Bing Xu

Open access · greenAbstract readReview
In one paragraph

Review in Chemical communications (Cambridge, England), 2021. 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
0.7field-weighted citation impact, top 34% of its field
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, 10 citations in OpenAlex.

  1. Article
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  3. Review
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  6. 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

4 authors at 1 institution in 1 country.

Meihui YiDepartment of Chemistry, Brandeis University, 415 South St., Waltham, MA 02454, USA. bxu@brandeis.edu.ORCID http://orcid.org/0000-0002-1912-1043
Weiyi TanDepartment of Chemistry, Brandeis University, 415 South St., Waltham, MA 02454, USA. bxu@brandeis.edu.ORCID http://orcid.org/0000-0001-5316-8278
Jiaqi GuoDepartment of Chemistry, Brandeis University, 415 South St., Waltham, MA 02454, USA. bxu@brandeis.edu.ORCID http://orcid.org/0000-0002-0254-0401
Bing XuDepartment of Chemistry, Brandeis University, 415 South St., Waltham, MA 02454, USA. bxu@brandeis.edu.ORCID http://orcid.org/0000-0002-4639-387X
Brandeis University · US

Funding

Subcellular Enzyme-instructed self-assembly for molecular anticancer nanomedicinesR01CA142746 · NCI · BRANDEIS UNIVERSITY · PI Bing Xu · 2010 to 2026
$6.4M
Exploring enzyme-instructed self-assembly (EISA) for targeting osteoblastic metastasis of prostate cancerR21CA252364 · NCI · BRANDEIS UNIVERSITY · PI HSIEH, JER-TSONG, XU, BING · 2020 to 2020
$430k
NCI NIH HHS R01 CA142746NCI NIH HHS R21 CA252364
6 · The paper itself

Abstract

Enzymatic noncovalent synthesis enables the spatiotemporal control of multimolecular crowding in cells, thus offering a unique opportunity for modulating cellular functions. This article introduces some representative enzymes and molecular building blocks for generating peptide assemblies as multimolecular crowding in cells, highlights the relevant biomedical applications, such as anticancer therapy, molecular imaging, trafficking proteins, genetic engineering, artificial intracellular filaments, cell morphogenesis, and antibacterial, and briefly discusses the promises of ENS as a multistep molecular process in biology and medicine.

Indexed as

Biomedical ResearchAnimalsHumansPeptide HydrolasesPeptidesPhosphoric Monoester HydrolasesPeptide HydrolasesPeptidesPhosphoric Monoester Hydrolases

Identifiers

PMID34817487
PMCPMC8711086
OpenAlexW3212066422

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.