Evidence map›Paper›PMID 31458731›Full record

ReviewACS omega2018

Making Molecular and Macromolecular Helical Tubes: Covalent and Noncovalent Approaches.

Chuan-Zhi Liu, Meng Yan, Hui Wang, Dan-Wei Zhang, Zhan-Ting Li

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in ACS omega, 2018. 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. Article
  3. Review
  4. 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.

Chuan-Zhi LiuDepartment of Chemistry, Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials, andCollaborative Innovation Centre of Chemistry for Energy Materials (iChEM), Fudan University, 2205 Songhu Road, Shanghai 200438, China.
Meng YanDepartment of Chemistry, Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials, andCollaborative Innovation Centre of Chemistry for Energy Materials (iChEM), Fudan University, 2205 Songhu Road, Shanghai 200438, China.
Hui WangDepartment of Chemistry, Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials, andCollaborative Innovation Centre of Chemistry for Energy Materials (iChEM), Fudan University, 2205 Songhu Road, Shanghai 200438, China.
Dan-Wei ZhangDepartment of Chemistry, Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials, andCollaborative Innovation Centre of Chemistry for Energy Materials (iChEM), Fudan University, 2205 Songhu Road, Shanghai 200438, China.
Zhan-Ting LiDepartment of Chemistry, Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials, andCollaborative Innovation Centre of Chemistry for Energy Materials (iChEM), Fudan University, 2205 Songhu Road, Shanghai 200438, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aromatic foldamers possess well-defined cavity that can be stabilized by discrete intramolecular interactions including hydrogen bonding, solvophobicity, electrostatic repulsion, or coordination. Long foldamers can form dynamic deep helical tubular architectures that are not only structurally attractive but also useful hosts for guest encapsulation, chirality induction, delivery, and catalysis. This kind of helical tubular structures can be formed by single molecules or macromolecules or by connecting short-folded or helical segments through noncovalent or covalent forces. This perspective summarizes the recent advances on the construction of helical tubes and their properties and functions.

Identifiers

PMID31458731
PMCPMC6641876

What OpenQuestion holds

Textmetadata
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.