Evidence map›Paper›PMID 32102359›Full record

ReviewMolecules (Basel, Switzerland)2020

Perceptions and Misconceptions in Molecular Recognition: Key Factors in Self-Assembling Multivalent (SAMul) Ligands/Polyanions Selectivity.

Domenico Marson, Erik Laurini, Suzana Aulic, Maurizio Fermeglia, Sabrina Pricl

Abstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Domenico MarsonMolecular Biology and Nanotechnology Laboratory (MolBNL@UniTS), Department of Engineering and Architecture, University of Trieste, 34127 Trieste, Italy.ORCID 0000-0003-1839-9868
Erik LauriniMolecular Biology and Nanotechnology Laboratory (MolBNL@UniTS), Department of Engineering and Architecture, University of Trieste, 34127 Trieste, Italy.
Suzana AulicMolecular Biology and Nanotechnology Laboratory (MolBNL@UniTS), Department of Engineering and Architecture, University of Trieste, 34127 Trieste, Italy.
Maurizio FermegliaMolecular Biology and Nanotechnology Laboratory (MolBNL@UniTS), Department of Engineering and Architecture, University of Trieste, 34127 Trieste, Italy.
Sabrina PriclMolecular Biology and Nanotechnology Laboratory (MolBNL@UniTS), Department of Engineering and Architecture, University of Trieste, 34127 Trieste, Italy.ORCID 0000-0001-8380-4474

Funding

Associazione Italiana per la Ricerca sul Cancro IG17413Regione Autonoma Friuli Venezia Giulia strategic planning 2016-18
6 · The paper itself

Abstract

Biology is dominated by polyanions (cell membranes, nucleic acids, and polysaccharides just to name a few), and achieving selective recognition between biological polyanions and synthetic systems currently constitutes a major challenge in many biomedical applications, nanovectors-assisted gene delivery being a prime example. This review work summarizes some of our recent efforts in this field; in particular, by using a combined experimental/computation approach, we investigated in detail some critical aspects in self-assembled nanomicelles and two major polyanions-DNA and heparin.

Indexed as

DNAHeparinHydrophobic and Hydrophilic InteractionsMethylaminesMicellesMolecular Dynamics SimulationNanostructuresPolyelectrolytesPolymersSolutionsSpermidineSpermineSurface-Active AgentsThermodynamicsDNAHeparinMethylaminesMicellesPolyelectrolytesPolymersSolutionsSpermidineSpermineSurface-Active Agentsamphiphilic ligandschiralityDNAheparinisothermal titration calorimetrymolecular simulationsmultivalencypolyanion bindingself-assembly

Identifiers

PMID32102359
PMCPMC7070608

What OpenQuestion holds

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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.