Evidence map›Paper›PMID 35269349›Full record

ArticleNanomaterials (Basel, Switzerland)2022

Molecular Dynamics Simulation Study of the Self-Assembly of Phenylalanine Peptide Nanotubes.

Vladimir Bystrov, Ilya Likhachev, Alla Sidorova, Sergey Filippov, Aleksey Lutsenko, Denis Shpigun, Ekaterina Belova

Abstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2022. 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

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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.

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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.

Vladimir BystrovInstitute of Mathematical Problems of Biology-Branch of Keldysh Institute of Applied Mathematics, RAS, 142290 Pushchino, Russia.ORCID 0000-0003-1487-9469
Ilya LikhachevInstitute of Mathematical Problems of Biology-Branch of Keldysh Institute of Applied Mathematics, RAS, 142290 Pushchino, Russia.
Alla SidorovaFaculty of Physics, Lomonosov Moscow State University, 119991 Moscow, Russia.
Sergey FilippovInstitute of Mathematical Problems of Biology-Branch of Keldysh Institute of Applied Mathematics, RAS, 142290 Pushchino, Russia.
Aleksey LutsenkoFaculty of Physics, Lomonosov Moscow State University, 119991 Moscow, Russia.
Denis ShpigunFaculty of Physics, Lomonosov Moscow State University, 119991 Moscow, Russia.
Ekaterina BelovaFaculty of Physics, Lomonosov Moscow State University, 119991 Moscow, Russia.ORCID 0000-0002-7701-8765

Funding

Russian Foundation for Basic Research 20-51-53014_GFEN-a
6 · The paper itself

Abstract

In this paper, we propose and use a new approach for a relatively simple technique for conducting MD simulation (MDS) of various molecular nanostructures, determining the trajectory of the MD run and forming the final structure using external force actions. A molecular dynamics manipulator (MD manipulator) is a controlled MDS type. As an example, the applicability of the developed algorithm for assembling peptide nanotubes (PNT) from linear phenylalanine (F or Phe) chains of different chirality is presented. The most adequate regimes for the formation of nanotubes of right chirality D from the initial L-F and nanotubes of left chirality L of their initial dipeptides D-F modes were determined. We use the method of a mixed (vector-scalar) product of the vectors of the sequence of dipole moments of phenylalanine molecules located along the nanotube helix to calculate the magnitude and sign of chirality of self-assembled helical phenylalanine nanotubes, which shows the validity of the proposed approach. As result, all data obtained correspond to the regularity of the chirality sign change of the molecular structures with a hierarchical complication of their organization.

Indexed as

chiralitycontrolled molecular dynamicsMD manipulatormolecular dynamics methodnanotubesphenylalanineself-assembly of nanostructures

Identifiers

PMID35269349
PMCPMC8912360

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