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Olga V. Kalinina

Researcher at Saarland University

Publications -  81
Citations -  1993

Olga V. Kalinina is an academic researcher from Saarland University. The author has contributed to research in topics: Biology & Hepatitis C virus. The author has an hindex of 19, co-authored 68 publications receiving 1776 citations. Previous affiliations of Olga V. Kalinina include Russian Academy of Sciences & Yandex.

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A Natural Intergenotypic Recombinant of Hepatitis C Virus Identified in St. Petersburg

TL;DR: It is shown that recombination may play a role in the evolution of Hepatitis C virus (HCV), and Recombination between HCV genotypes must now be considered in the classification, laboratory diagnosis, and treatment of HCV infection.
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Impact of Genome Reduction on Bacterial Metabolism and Its Regulation

TL;DR: This “simple” organism makes extensive use of noncoding RNAs and has exon- and intron-like structure within transcriptional operons that allows complex gene regulation resembling that of eukaryotes, and Reconstruction of a bacterial metabolic network reveals strategies for metabolic control with a genome of reduced size.
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Automated selection of positions determining functional specificity of proteins by comparative analysis of orthologous groups in protein families.

TL;DR: A method for automated selection of residues that determine the functional specificity of proteins with a common general function (the specificity‐determining positions [SDP] prediction method), which directly takes into account nonuniformity of amino acid substitution frequencies.
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Lipoprotein lipase mediates hepatitis C virus (HCV) cell entry and inhibits HCV infection.

TL;DR: It is shown that lipoprotein lipase, targeting triglyceride‐rich lipoproteins to the liver, mediates binding and internalization of HCV to different types of cells, acting as a bridge between virus‐associated lipoproduins and cell surface heparan sulfate proteoglycans.
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SDPpred: a tool for prediction of amino acid residues that determine differences in functional specificity of homologous proteins

TL;DR: SDPpred (Specificity Determining Position prediction) is a tool for prediction of residues in protein sequences that determine the proteins' functional specificity for analysis of protein families whose members have biochemically similar but not identical interaction partners.