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Introduction
Chaperones nucleolin, NCL and nucleophosmin, NPM are
multifunctional proteins involved in the regulations of gene
transcription, RNA synthesis, translation and metabolism, ribosome
biogenesis, chromatin remodeling, control of cell proliferation
and apoptosis, molecular transport and other important processes.
1
These proteins over-expressed in highly proliferative tumor cells and
localized presumably in the nucleolus. It has also been revealed that
glycolsilated and phosphorylated nucleolin is highly expressed on
tumor cell surface as receptor for different ligands to trigger molecule
internalization, including potential anti-cancer agents–cationic
peptides.
2
The mechanism of binding between receptor nucleolin and
peptide molecules is unclear; its analysis by molecular docking has
been considered.
Materials and methods
Molecular structure, representing NCL RRM_1 domain─RNA-
recognition motif, taken from PDB (ProteinDataBank 2FC8), was
used as a target protein. It was obtained by NMR (SOLUTION NMR –
Solution nuclear magnetic resonance spectroscopy, Nuclear Magnetic
Resonance).
3
It includes 1 protein chain, 743 atoms, 102 amino-acid
residues. We used the program Maestro 11. First stage of the protein
preparation consisted of protonation, pH=7.0 by water removing and
single minimization of structure using force fld OPLS3, because
a larger number of minimizations might lead to the protein chain
deformation.
4
Two problems had to be solved before molecular docking:
i. The sites of binding between the target protein and peptide are
not exactly known. Sitemap program Maestro 11,
5
has not shown
reasonable binding areas, apparently, due to the fact, that there
no large hydrophobic holes on the protein surface. So, we used a
maximal docking box size of 36Ǻ and this area included the entire
protein. Thus, one can calculate the potential grid throughout the
protein using glide;
ii. The peptides were too large for glide, so we decided to divide their
molecules into peptide fragments enriched with charged groups.
The fragments of different sizes were quite large, so the result of
the docking was meaningful. The ligand preparation procedure has
also included protonation, pH=7.0. We have done 4 conformers for
each ligand.
The docking was performed by glide.
6
In total, 4 confgurations
for each conformer and score function GS per the confguration were
calculated. The results of the screening for these structures are shown
on Figure 1. Interestingly, that majority of the peptide fragments had a
high score >6.00kcal/mol (value modules). All these structures located
in approximate active center of the protein, and formed hydrogen
bonds between the same amino acids. This fact suggests the idea
on the characteristic regions of binding between peptides and target
protein. To verify this estimation, the best structures with position
scores more than 6.50 kcal/mol (value modules) were re-positioned,
provided that the binding areas remain mobile. In this case, the scoring
function changes and the protein conformation changes is partially
added to it. Then site will be selected for the ligand followed by its
positioning into this site. Such approach may give the best result for
estimation of the binding between protein and ligand.
7
Before induced
ft docking procedure described in,
8
we have identifed amino acids
that are commonly contacted with the leaders of the frst docking.
The frequencies of the relationships between the ligand with leader
score and appropriate amino acid were compared. Five amino acids in
nucleolin molecule binding peptides more frequently, were revealed
(Table 1).
Based on the selection results, the program changes a spatial
arrangement of the amino acid that forms hydrogen bounds with a
frequency >71%. Docking box was also centered according these
amino acids and the box size of 26 Ǻ followed by its reducing, since
the binding site or active center has been already detected.In summaty,
the score functions did not change, they were preserved close to the
previous values. Visually assessing the amino acid changes, one
can agree, that the ligand binding site within the target protein does
not undergo signifcant changes. This observation indicates that
nucleolin’s active center itself has a rigid structure and binding is not
related to the mobile, changed sites, but remains relatively stable.
J Cancer Prev Curr Res. 2018;9(4):187‒188. 187
© 2018 Lushnikova et al. This is an open access article distributed under the terms of the Creative Commons Attribution License,
which permits unrestricted use, distribution, and build upon your work non-commercially.
Simulation binding between nucleoli and cationic
peptides, inducing tumor cell apoptosis, by molecular
docking
Volume 9 Issue 4 - 2018
Anna A Lushnikova,
1
Aleksandra V Kostarev,
2
Anastasia V Onyan,
3
Sergey M Andreev
4
1
Leader researcher, Cancer Research Center, Russia
2
Department of Physics, Moscow State University, Russia
3
Researcher, Cancer Research Center, Russia
4
Head of Laboratory, Russia
Correspondence: Anna A Lushnikova, N N Blokhin Cancer
Research Center, 115478Kashirskoye shosse-24, Moscow,
Russia, Email lan21@yandex.ru
Received: July 25, 2018 | Published: July 27, 2018
Abstract
Backgound: cationic peptides and their possible targets─chaperone proteins nucleolin,
NCL and nucleophosmin, NPM, regulating key cellular processes, are promising as
antitumor agents. Differential expression of NCL and NPM, especially cell surface
nucleolin, in tumor and normal cells creates the basis for selective cytotoxicity of the
peptides and their clinical application.
Aim: objective is to propose strategy for analysis binding between nucleolin and
peptides by molecular docking.
Results: nucleolin structure is rather stable and cross-linking between NCL and
peptides affects amino-acids with constant positions in NCL moleculae. Cationic
peptides are suitable as ligands for nucleolin dimer.
Keywords: tumor cells, nucleolin expression, cationic peptides, target-ligand
docking
Journal of Cancer Prevention & Current Research
Research Article
Open Access