User profiles for Z. Chervontseva

Zoe Chervontseva

University of Hamburg
Verified email at uni-hamburg.de
Cited by 95

Translation at first sight: the influence of leading codons

IA Osterman, ZS Chervontseva… - Nucleic Acids …, 2020 - academic.oup.com
First triplets of mRNA coding region affect the yield of translation. We have applied the flowseq
method to analyze >30 000 variants of the codons 2–11 of the fluorescent protein reporter …

Influence of the spacer region between the Shine–Dalgarno box and the start codon for fine‐tuning of the translation efficiency in Escherichia coli

ES Komarova, ZS Chervontseva… - Microbial …, 2020 - Wiley Online Library
Translation efficiency contributes several orders of magnitude difference in the overall yield
of exogenous gene expression in bacteria. In diverse bacteria, the translation initiation site, …

[HTML][HTML] Adaptive evolution at mRNA editing sites in soft-bodied cephalopods

M Moldovan, Z Chervontseva, G Bazykin, MS Gelfand - PeerJ, 2020 - peerj.com
Z-score values obtained by the RNASurface program (Soldatov, Vinogradova & Mironov,
2013). Here, Z-score of a sequence is defined as Z = … the best (minimal) Z-score of all structured …

Reprograming of sRNA target specificity by the leader peptide peTrpL in response to antibiotic exposure

…, J Ziebuhr, KU Förstner, Z Chervontseva… - Nucleic acids …, 2021 - academic.oup.com
Trans-acting regulatory RNAs have the capacity to base pair with more mRNAs than generally
detected under defined conditions, raising the possibility that sRNA target specificities …

Identification of differentially expressed gene modules in heterogeneous diseases

…, OI Isaeva, Z Chervontseva… - …, 2021 - academic.oup.com
Motivation Identification of differentially expressed genes is necessary for unraveling disease
pathogenesis. This task is complicated by the fact that many diseases are heterogeneous …

[HTML][HTML] A hierarchy in clusters of cephalopod mRNA editing sites

MA Moldovan, ZS Chervontseva, DS Nogina… - Scientific Reports, 2022 - nature.com
RNA editing in the form of substituting adenine with inosine (A-to-I editing) is the most frequent
type of RNA editing in many metazoan species. In most species, A-to-I editing sites tend …

[HTML][HTML] Predicting RNA secondary structure by a neural network: what features may be learned?

EI Grigorashvili, ZS Chervontseva, MS Gelfand - PeerJ, 2022 - peerj.com
Deep learning is a class of machine learning techniques capable of creating internal
representation of data without explicit preprogramming. Hence, in addition to practical applications, …

The bacterial leader peptide peTrpL has a conserved function in antibiotic-dependent posttranscriptional regulation of ribosomal genes

…, AR Varadarajan, K Baumgardt, Z Chervontseva… - bioRxiv, 2019 - biorxiv.org
The ribosome-dependent attenuator located upstream of bacterial tryptophan biosynthesis
genes harbors a small ORF trpL containing tryptophan codons. When tryptophan is available, …

[HTML][HTML] DESMOND 2.0: Identification of differentially expressed biclusters for unsupervised patient stratification

…, A Savchik, ZS Chervontseva… - …, 2022 - drugrepocentral.scienceopen.com
Unsupervised patient stratification based on omics data is traditionally approached by clustering
methods which may be inefficient for datasets with multiple patterns overlapping in rows …

Features of nucleotide sequences learned by neural networks

Z Chervontseva - … технологии и системы 2019 (ИТиС 2019), 2019 - elibrary.ru
Neural networks are known to be good in generalising and discovery of novel non-trivial
patterns in complex data. Here we apply neural networks to several bioinformatic problems …