Evidence map›Paper›PMID 34110174›Full record

ArticleThe journal of physical chemistry letters2021

Molecular Recognition by Gold Nanoparticle-Based Receptors as Defined through Surface Morphology and Pockets Fingerprint.

Laura Riccardi, Sergio Decherchi, Walter Rocchia, Giordano Zanoni, Andrea Cavalli, Fabrizio Mancin, Marco De Vivo

Abstract read
In one paragraph

Article in The journal of physical chemistry letters, 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
–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. Review
  2. Article
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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

7 authors.

Laura RiccardiLaboratory of Molecular Modeling & Drug Discovery, Fondazione Istituto Italiano di Tecnologia, Via Morego 30, 16163 Genova, Italy.ORCID https://orcid.org/0000-0002-5315-5140
Sergio DecherchiComputational and Chemical Biology, Fondazione Istituto Italiano di Tecnologia, Via Morego 30, 16163 Genova, Italy.ORCID https://orcid.org/0000-0001-8371-2270
Walter RocchiaBiKi Technologies s.r.l., Via XX Settembre 33/10, 1621 Genova, Italy.ORCID https://orcid.org/0000-0003-2480-7151
Giordano ZanoniDipartimento di Scienze Chimiche, Università di Padova, Via Marzolo 1, 35131 Padova, Italy.
Andrea CavalliComputational and Chemical Biology, Fondazione Istituto Italiano di Tecnologia, Via Morego 30, 16163 Genova, Italy.ORCID https://orcid.org/0000-0002-6370-1176
Fabrizio MancinDipartimento di Scienze Chimiche, Università di Padova, Via Marzolo 1, 35131 Padova, Italy.ORCID https://orcid.org/0000-0003-0786-0364
Marco De VivoLaboratory of Molecular Modeling & Drug Discovery, Fondazione Istituto Italiano di Tecnologia, Via Morego 30, 16163 Genova, Italy.ORCID https://orcid.org/0000-0003-4022-5661

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ligand shell-protected gold nanoparticles can form nanoreceptors that recognize and bind to specific molecules in solution, with numerous potential innovative applications in science and industry. At this stage, the challenge is to rationally design such nanoreceptors to optimize their performance and boost their further development. Toward this aim, we have developed a new computational tool, Nanotron. This allows the analysis of molecular dynamics simulations of ligand shell-protected nanoparticles to define their exact surface morphology and pocket fingerprints of binding cavities in the coating monolayer. Importantly, from dissecting the well-characterized pairing formed by the guest salicylate molecule and specific host nanoreceptors, our work reveals that guest binding at such nanoreceptors occurs via preformed deep pockets in the host. Upon the interaction with the guest, such pockets undergo an induced-fit-like structural optimization for best host-guest fitting. Our findings and methodological advancement will accelerate the rational design of new-generation nanoreceptors.

Indexed as

Molecular Dynamics SimulationComputational BiologyGoldMetal NanoparticlesPeptide MappingSurface PropertiesGold

Identifiers

PMID34110174
PMCPMC8280747

What OpenQuestion holds

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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.