•Journal•ISSN: 1994-6538
Mathematical Biology and Bioinformatics
Institute of Mathematical Problems of Biology of RAS (IMPB RAS)
About: Mathematical Biology and Bioinformatics is an academic journal published by Institute of Mathematical Problems of Biology of RAS (IMPB RAS). The journal publishes majorly in the area(s): Biology & Genome. It has an ISSN identifier of 1994-6538. It is also open access. Over the lifetime, 454 publications have been published receiving 1257 citations. The journal is also known as: Mathematical biology and bioinformatics.
Topics: Biology, Genome, Computer science, Chemistry, Gene
Papers published on a yearly basis
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TL;DR: In this article, the evolution of an arbitrary initial distribution of a quantum-mechanical particle in a uniform molecular chain is simulated by a system of coupled quantum- classical dynamical equations with dissipation.
Abstract: Evolution of an arbitrary initial distribution of a quantum-mechanical particle in a uniform molecular chain is simulated by a system of coupled quantum- classical dynamical equations with dissipation. Stability of a uniform distribution of the particle over the chain is studied. An asymptotical expression is obtained for the time in which a localized state is formed. The validity of the expression is checked by direct computational experiments. It is shown that the time of soliton and multisoliton type states formation depends strongly on the initial phase of the particle's wave function. It is shown that in multisoliton states objects with a fractional electron charge which can be observed experimentally are realized. The results obtained are applied to synthetic uniform polynucleotide molecular chains.
27 citations
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16 citations
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TL;DR: In this paper, the structure and properties of diphenylalanine peptide nanotubes were investigated by various molecular modeling methods, including semi-empirical quantum-chemical methods (PM3 and AM1), and molecular mechanical ones.
Abstract:
The structure and properties of diphenylalanine peptide nanotubes based on phenylalanine were investigated by various
molecular modeling methods. The main approaches were semi-empirical quantum-chemical methods (PM3 and AM1), and
molecular mechanical ones. Both the model structures and the structures extracted from their experimental
crystallographic databases obtained by X-ray methods were examined. A comparison of optimized model structures and
structures obtained by naturally-occurring self-assembly showed their important differences depending on D- and L-chirality.
In both the cases, the effect of chirality on the results of self-assembly of diphenylalanine peptide nanotubes was established:
peptide nanotubes based on the D-diphenylalanine (D-FF) has high condensation energy E0
in transverse direction and forms
thicker and shorter peptide nanotubes bundles, than that based on L-diphenylalanine (L-FF). A topological difference was
established: model peptide nanotubes were optimized into structures consisting of rings, while naturally self-assembled
peptide nanotubes consisted of helical coils. The latter were different for the original L-FF and D-FF. They formed helix
structures in which the chirality sign changes as the level of the macromolecule hierarchy raises. Total energy of the optimal
distances between two units are deeper for L-FF (–1.014 eV) then for D-FF (–0.607 eV) for ring models, while for helix coil are
approximately the same and have for L-FF (–6.18 eV) and for D-FF (–6.22 eV) by PM3 method; for molecular mechanical methods
energy changes are of the order of 2–3 eV for both the cases. A topological transition between a ring and a helix coil of
peptide nanotube structures is discussed: self-assembled natural helix structures are more stable and favourable, they have
lower energy in optimal configuration as compared with ring models by a value of the order of 1 eV for molecular mechanical
methods and 5 eV for PM3 method.
14 citations
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14 citations