activity
20092020
most citedGenome packaging within icosahedral capsids and large-scale segmentation in viral genomic sequences

9 citations · 26 across the 5 of their papers we have counts for

collaborators

6 papers

q-bio.QM2020★ 3 cited

Combining detection and reconstruction of correlational and quasi-periodic motifs in viral genomic sequences with transitional genome mapping: Application to COVID-19

Vladimr R. Chechetkin, Vasily V. Lobzin

A method of Transitional Automorphic Mapping of the Genome on Itself (TAMGI) is aimed at combining detection and reconstruction of correlational and quasi-periodic motifs in the vi…

q-bio.QM2019★ 6 cited

Detection of large-scale noisy multi-periodic patterns with discrete double Fourier transform

V. R. Chechetkin, V. V. Lobzin

In many processes, the variations in underlying characteristics can be approximated by noisy multi-periodic patterns. If large-scale patterns are superimposed by a noise with long-…

q-bio.QM2018★ 9 cited

Genome packaging within icosahedral capsids and large-scale segmentation in viral genomic sequences

V. R. Chechetkin, V. V. Lobzin

The assembly and maturation of viruses with icosahedral capsids must be coordinated with icosahedral symmetry. The icosahedral symmetry imposes also the restrictions on the coopera…

q-bio.QM2017

Large-scale chromosome folding versus genomic DNA sequences: A discrete double Fourier transform technique

V. R. Chechetkin, V. V. Lobzin

Using state-of-the-art techniques combining imaging methods and high-throughput genomic mapping tools leaded to the significant progress in detailing chromosome architecture of var…

q-bio.QM2012★ 8 cited

Stability of the genetic code and optimal parameters of amino acids

V. R. Chechetkin, V. V. Lobzin

The standard genetic code is known to be much more efficient in minimizing adverse effects of misreading errors and one-point mutations in comparison with a random code having the…

q-bio.QM2009

Local stability and evolution of the genetic code

V. R. Chechetkin, V. V. Lobzin

The standard genetic code is known to be robust to translation errors and point mutations. We studied how small modifications of the standard code affect its robustness. The robust…