V. Ivanisenko

V. Ivanisenko, M. Freidin, E. Tiys, 2016, Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases.

Integrated mathematical models for describing complex biological processes

V. Ivanisenko, N. Ivanisenko, O. Petrovskaya, 2017 .

Visualization and Analysis of a Cardio Vascular Diseaseand MUPP1-related Biological Network combining Text Mining and Data Warehouse Approaches

T. V. Ivanisenko, N. Kolchanov, B. Sommer, 2010 .

Characteristics of age-dependent changes in urine proteome in healthy men

V. Ivanisenko, E. Tiys, A. Kononikhin, 2016, Advances in Gerontology.

Detection of renal and urinary tract proteins in urine before and after space flight

V. Ivanisenko, E. Tiys, A. Kononikhin, 2013, Human Physiology.

Analysis of signaling networks distributed over intracellular compartments based on protein-protein interactions

B. Sommer, R. Hofestädt, V. Ivanisenko, 2014, BMC Genomics.

The substitutions G245C and G245D in the Zn2+-binding pocket of the p53 protein result in differences of conformational flexibility of the DNA-binding domain

T. V. Ivanisenko, N. A. Kolchanov, S. Pintus, 2013, Journal of biomolecular structure & dynamics.

Molecular mechanisms of the interaction between the processes of the cell response to mechanical stress and neuronal apoptosis in primary open-angle glaucoma

T. V. Ivanisenko, N. Kolchanov, V. Ivanisenko, 2017, Russian Journal of Genetics: Applied Research.

Molecular-genetic mechanisms of the interaction between processes of cell response to mechanical stress and neuronal apoptosis in primary open-angle glaucoma

T. V. Ivanisenko, N. Kolchanov, V. Ivanisenko, 2016 .

Program complex SNP-MED for analysis of single-nucleotide polymorphism (SNP) effects on the function of genes associated with socially significant diseases

N. L. Podkolodnyy, Ivan V. Protsyuk, L. Bryzgalov, 2014, Russian Journal of Genetics: Applied Research.

THE SOLANUM TUBEROSUM KNOWLEDGE BASE: THE SECTION ON MOLECULAR-GENETIC REGULATION OF METABOLIC PATHWAYS

T. V. Ivanisenko, N. Kolchanov, V. Ivanisenko, 2018 .

Characterization of glycoprotein E C-End of West Nile virus and evaluation of its interaction force with αVβ3 integrin as putative cellular receptor

V. Ivanisenko, B. Zaitsev, S. Sekatskii, 2010, Biochemistry (Moscow).

Development of Small Molecules Targeting Procaspase-8 at the DISC

V. Ivanisenko, N. Ivanisenko, I. Lavrik, 2022, Cell and Tissue Biology.

Role of apoptosis genes in aggression revealed using combined analysis of ANDSystem gene networks, expression and genomic data in grey rats with aggressive behavior

E. Rogaev, Y. Orlov, V. Ivanisenko, 2017 .

Evaluation of Prioritization Methods of Extrinsic Apoptotic Signaling Pathway Genes for Retrieval of the New Candidates Associated with Major Depressive Disorder

E. Khusnutdinova, V. Ivanisenko, O. Saik, 2018, Russian Journal of Genetics.

Regression model for predicting pathogenic properties of SOD1 mutants based on the analysis of conformational stability and conservation of hydrogen bonds.

V. Ivanisenko, N. Ivanisenko, N. Alemasov, 2017, Journal of molecular graphics & modelling.

Pharmacological targeting of c-FLIPL and Bcl-2 family members promotes apoptosis in CD95L-resistant cells

V. Ivanisenko, N. Ivanisenko, I. Lavrik, 2020, Scientific Reports.

Immunochemical properties of the West Nile virus prM protein and the C-terminal fragment of the M protein

V. Ivanisenko, E. Protopopova, A. Shvalov, 2007, Molecular Biology.

Prioritization of potato genes involved in the formation of agronomically valuable traits using the SOLANUM TUBEROSUM knowledge base

T. V. Ivanisenko, N. A. Kolchanov, V. Ivanisenko, 2019, Vavilov Journal of Genetics and Breeding.

Prediction of tissue-specific effects of gene knockout on apoptosis in different anatomical structures of human brain

N. Kolchanov, V. Ivanisenko, O. Saik, 2015, BMC Genomics.

Localization of the HIV-1 gp120 Conformational Epitope Recognized by Virus-Neutralizing Monoclonal Antibodies 2G12

L. Sandakhchiev, V. Ivanisenko, A. Kozlov, 2002, Molecular Biology.

Computational screening for new inhibitors of M. tuberculosis mycolyltransferases antigen 85 group of proteins as potential drug targets

S. Ramachandran, V. Ivanisenko, N. Ivanisenko, 2013, Journal of biomolecular structure & dynamics.

Constant urinary proteins in healthy humans in a 520-day isolation experiment

N. A. Kolchanov, V. Ivanisenko, M. Custaud, 2016, Human Physiology.

Prediction of Bacterial and Archaeal Allergenicity with AllPred Program

T. V. Ivanisenko, V. Ivanisenko, P. Demenkov, 2018, Molecular Biology.

Insights into pathophysiology of dystropy through the analysis of gene networks: an example of bronchial asthma and tuberculosis

N. Kolchanov, V. Ivanisenko, M. Freidin, 2014, Immunogenetics.

The Effect of Long-term Space Flights on Human Urine Proteins Functionally Related to Endothelium

V. Ivanisenko, M. Custaud, E. Tiys, 2018, Human Physiology.

The New Version of the ANDDigest Tool with Improved AI-Based Short Names Recognition

T. V. Ivanisenko, N. Kolchanov, V. Ivanisenko, 2022, International journal of molecular sciences.

C-terminal fragment of human laminin-binding protein contains a receptor domain for Venezuelan equine encephalitis and tick-borne encephalitis viruses

V. Ivanisenko, E. Protopopova, V. Loktev, 2009, Biochemistry (Moscow).

[Analysis of Urine Proteome in Patients With Postinfarction Cardiosclerosis Combined With Hypertensive Disease for Assessing Endothelial Dysfunction].

V. Ivanisenko, E. Tiys, A. Kononikhin, 2017, Kardiologiia.

Design, Synthesis and Molecular Modeling Study of Conjugates of ADP and Morpholino Nucleosides as A Novel Class of Inhibitors of PARP-1, PARP-2 and PARP-3

V. Ivanisenko, N. Ivanisenko, V. Silnikov, 2019, International journal of molecular sciences.

Molecular analysis of the benthos microbial community in Zavarzin thermal spring (Uzon Caldera, Kamchatka, Russia)

A. S. Rozanov, T. V. Ivanisenko, N. Kolchanov, 2014, BMC Genomics.

Analysis of foreign epitope inserts in HBcAg. Approaches to solving the problem of core particle self-assembly

V. Ivanisenko, A. Eroshkin, L. Karpenko, 2000, Molecular Biology.

Insertion of foreign epitopes in HBcAg: how to make the chimeric particle assemble

V. Ivanisenko, A. Eroshkin, L. Karpenko, 2000, Amino Acids.

Molecular Relationships between Bronchial Asthma and Hypertension as Comorbid Diseases

Ralf Hofestädt, Vladimir A. Ivanisenko, Olga V. Saik, 2018, J. Integr. Bioinform..

A New Stochastic Model for Subgenomic Hepatitis C Virus Replication Considers Drug Resistant Mutants

Vladimir A. Ivanisenko, Elena L. Mishchenko, Lars Kaderali, 2014, PloS one.

Replication of the subgenomic hepatitis C virus replicon in the presence of the NS3 protease inhibitors: a stochastic model

N. A. Kolchanov, M. Samsonova, V. Ivanisenko, 2013, Biofizika.

Comorbidity of asthma and hypertension may be mediated by shared genetic dysregulation and drug side effects

I. A. Goncharova, O. Zolotareva, R. Hofestädt, 2019, Scientific Reports.

Correlation of Metabolic Profiles of Plasma and Cerebrospinal Fluid of High-Grade Glioma Patients

E. V. Gaisler, V. Ivanisenko, N. Ivanisenko, 2021, Metabolites.

The story of the lost twins: decoding the genetic identities of the Kumhar and Kurcha populations from the Indian subcontinent

V. Ivanisenko, A. Anashkina, R. Das, 2020, BMC Genetics.

Novel candidate genes important for asthma and hypertension comorbidity revealed from associative gene networks

Vladimir A. Ivanisenko, Timofey V. Ivanisenko, Olga V. Saik, 2018, BMC Medical Genomics.

Reconstruction of associative protein networks connected with processes of sodium exchange regulation and sodium deposition in healthy volunteers based on urine proteome analysis

P. S. Demenkov, V. A. Ivanisenko, E. N. Nikolaev, 2012, Human Physiology.

The role of death domain proteins in host response upon SARS-CoV-2 infection: modulation of programmed cell death and translational applications

N. Kolchanov, V. Ivanisenko, N. Ivanisenko, 2020, Cell death discovery.

Computer analysis of the relation between hydrogen bond stability in SOD1 mutants and the survival time of amyotrophic lateral sclerosis patients.

N. Kolchanov, V. Ivanisenko, N. Ivanisenko, 2021, Journal of molecular graphics & modelling.

Molecular association of pathogenetic contributors to pre-eclampsia (pre-eclampsia associome)

Vladimir A. Ivanisenko, Pavel Demenkov, Timofey V. Ivanisenko, 2015, BMC Systems Biology.

Tick-Borne Encephalitis with Hemorrhagic Syndrome, Novosibirsk Region, Russia, 1999

V. Ivanisenko, V. Loktev, R. Ryder, 2003, Emerging infectious diseases.

Differentially Expressed Genes and Molecular Susceptibility to Human Age-Related Diseases

N. Kolchanov, V. Ivanisenko, M. Ponomarenko, 2023, International journal of molecular sciences.

Time-course human urine proteomics in space-flight simulation experiments

Hans Binder, Arsen Arakelyan, Alexey Kononikhin, 2014, BMC Genomics.

Plasma metabolomics and gene regulatory networks analysis reveal the role of nonstructural SARS-CoV-2 viral proteins in metabolic dysregulation in COVID-19 patients

E. V. Gaisler, S. M. Voevoda, T. V. Ivanisenko, 2022, Scientific Reports.

Mechanosensitive molecular interactions in atherogenic regions of the arteries: development of atherosclerosis

V. Ivanisenko, E. L. Mishchenko, A. Mishchenko, 2021, Vavilovskii zhurnal genetiki i selektsii.

A fast genetic algorithm for RNA secondary structure analysis

Vladimir A. Ivanisenko, Nikolay A. Kolchanov, I. I. Titov, 2002 .

Phylogenetic Analysis of the p53 and p63/p73 Gene Families

Vladimir A. Ivanisenko, Sergey S. Pintus, Eduard S. Fomin, 2007, Silico Biol..

Corroboration of the functional role of the additional zinc binding site in the G245C mutant form of the p53 protein

E. Fomin, V. Ivanisenko, 2006 .

Web-Based Computational Tools for the Prediction and Analysis of Posttranslational Modifications of Proteins.

T. V. Ivanisenko, N. Kolchanov, V. Ivanisenko, 2019, Methods in molecular biology.

Dissecting DISC regulation via pharmacological targeting of caspase-8/c-FLIPL heterodimer

V. Ivanisenko, N. Ivanisenko, I. Lavrik, 2020, Cell Death & Differentiation.

Functional divergence of Helicobacter pylori related to early gastric cancer.

Vladimir A Ivanisenko, Vadim M Govorun, Dmitry Alexeev, 2010, Journal of proteome research.

PDBSiteScan: a program for searching for active, binding and posttranslational modification sites in the 3D structures of proteins

Vladimir A. Ivanisenko, Nikolay A. Kolchanov, Dmitry A. Grigorovich, 2004, Nucleic Acids Res..

Protein structure discovery: A software package to computer proteomics tasks (Review)

N. A. Kolchanov, P. S. Demenkov, V. A. Ivanisenko, 2011, Russian Journal of Bioorganic Chemistry.

Insights into pathophysiology of dystropy through the analysis of gene networks: an example of bronchial asthma and tuberculosis

Vladimir A. Ivanisenko, Nikolay A. Kolchanov, Evgeny S. Tiys, 2014, Immunogenetics.

Computer analysis of protein functional sites projection on exon structure of genes in Metazoa

V. Ivanisenko, P. Demenkov, I. Medvedeva, 2015, BMC Genomics.

An Integrated Study to Analyze Salt Lake Microbial Community Structure (Novosibirsk Oblast, Russia)

V. Ivanisenko, S. Peltek, O. Taran, 2014 .

SITEX 2.0: Projections of protein functional sites on eukaryotic genes. Extension with orthologous genes

Vladimir A. Ivanisenko, Pavel Demenkov, Irina Medvedeva, 2017, J. Bioinform. Comput. Biol..

Finding biomarkers in non-model species: literature mining of transcription factors involved in bovine embryo development

Vladimir A. Ivanisenko, Nikolay Yudin, Evgeny S. Tiys, 2012, BioData Mining.

Young «oil site» of the Uzon Caldera as a habitat for unique microbial life

T. V. Ivanisenko, N. Kolchanov, V. Parmon, 2020, BMC Microbiology.

Computer analysis of regulation of hepatocarcinoma marker genes hypermethylated by HCV proteins

T. V. Ivanisenko, V. Ivanisenko, N. Ivanisenko, 2022, Vavilovskii zhurnal genetiki i selektsii.

ANDDigest: a new web-based module of ANDSystem for the search of knowledge in the scientific literature

Vladimir A Ivanisenko, T. V. Ivanisenko, Timofey V Ivanisenko, 2020, BMC Bioinformatics.

Accuracy of protein allergenicity prediction can be improved by taking into account data on allergenic protein discontinuous peptides

Vladimir A Ivanisenko, V. Ivanisenko, P. Demenkov, 2013, Journal of biomolecular structure & dynamics.

Protein allergenicity prediction on the basis of conformational peptides

V. Ivanisenko, P. Demenkov, A. Bragin, 2012, Russian Journal of Genetics: Applied Research.

Visualization and Analysis of a Cardio Vascular Disease- and MUPP1-related Biological Network combining Text Mining and Data Warehouse Approaches

Ralf Hofestädt, Vladimir A. Ivanisenko, Pavel Demenkov, 2010, J. Integr. Bioinform..

Improved regression model to predict an impact of SOD1 mutations on ALS patients survival time based on analysis of hydrogen bond stability.

S. Ramachandran, V. Ivanisenko, N. Ivanisenko, 2019, Journal of molecular graphics & modelling.

Dynamic properties of SOD1 mutants can predict survival time of patients carrying familial amyotrophic lateral sclerosis

N. Kolchanov, V. Ivanisenko, N. Ivanisenko, 2017, Journal of biomolecular structure & dynamics.

Structural and dynamic properties of mutant SOD1 proteins associated with amyotrophic lateral sclerosis

V. Ivanisenko, N. Ivanisenko, N. Alemasov, 2015, Russian Journal of Genetics: Applied Research.

A new version of the ANDSystem tool for automatic extraction of knowledge from scientific publications with expanded functionality for reconstruction of associative gene networks by considering tissue-specific gene expression

T. V. Ivanisenko, V. Ivanisenko, O. Saik, 2019, BMC Bioinformatics.

Primary and Secondary micro-RNA Modulation the Extrinsic Pathway of Apoptosis in Hepatocellular Carcinoma

T. V. Ivanisenko, V. Ivanisenko, I. Lavrik, 2023, Molecular Biology.

Prioritization of biological processes based on the reconstruction and analysis of associative gene networks describing the response of plants to adverse environmental factors

T. V. Ivanisenko, V. Ivanisenko, P. Demenkov, 2021, Vavilovskii zhurnal genetiki i selektsii.

DEVELOPMENT OF METHODS FOR AUTOMATIC EXTRACTION OF KNOWLEDGE FROM TEXTS OF SCIENTIFIC PUBLICATIONS FOR THE CREATION OF A KNOWLEDGE BASE SOLANUM TUBEROSUM

Timofey V. Ivanisenko, Olga V. Saik, Nikolay A. Kolchanov, 2017 .

Mosaic gene network modelling identified new regulatory mechanisms in HCV infection.

V. Ivanisenko, I. Lavrik, E. L. Mishchenko, 2016, Virus research.

NACE: A web-based tool for prediction of intercompartmental efficiency of human molecular genetic networks.

Vladimir A Ivanisenko, T. V. Ivanisenko, Timofey V Ivanisenko, 2016, Virus research.

ANDSystem: an Associative Network Discovery System for automated literature mining in the field of biology

Vladimir A. Ivanisenko, Pavel Demenkov, Timofey V. Ivanisenko, 2015, BMC Systems Biology.

Permanent proteins in the urine of healthy humans during the Mars-500 experiment

Vladimir A. Ivanisenko, Nikolay A. Kolchanov, Evgeny S. Tiys, 2015, J. Bioinform. Comput. Biol..

[SHIFTS IN URINE PROTEIN PROFILE DURING DRY IMMERSION].

V. Ivanisenko, M. Custaud, E. Tiys, 2015, Aviakosmicheskaia i ekologicheskaia meditsina = Aerospace and environmental medicine.

ANDVisio: A new tool for graphic visualization and analysis of literature mined associative gene networks in the ANDSystem

Vladimir A. Ivanisenko, Pavel Demenkov, Timofey V. Ivanisenko, 2012, Silico Biol..

Plant Biology and Biotechnology: Focus on Genomics and Bioinformatics

Ming Chen, Y. Orlov, V. Ivanisenko, 2022, International journal of molecular sciences.

Delineating the role of c-FLIP/NEMO interaction in the CD95 network via rational design of molecular probes

V. Ivanisenko, N. Ivanisenko, I. Lavrik, 2019, BMC Genomics.

ANALYSIS OF THE INTERACTIONS OF NEURONAL APOPTOSIS GENES IN THE ASSOCIATIVE GENE NETWORK OF PARKINSON’S DISEASE

Olga V. Saik, Evgeny I. Rogaev, Inna N. Lavrik, 2018 .

Expression and molecular characterization of the Mycobacterium tuberculosis PII protein.

S. Ramachandran, S. Maiti, S. Pintus, 2010, Journal of biochemistry.

Prediction of Bacterial and Archaeal Allergenicity with AllPred Program

T. V. Ivanisenko, V. Ivanisenko, P. Demenkov, 2018, Molecular Biology.

Immunochemical Properties of Recombinant Polypeptides Mimicking Domains I and II of West Nile Virus Glycoprotein E

V. Ivanisenko, A. Ivanova, V. Ternovoi, 2005, Molecular Biology.

Candidate SNP Markers Significantly Altering the Affinity of TATA-Binding Protein for the Promoters of Human Hub Genes for Atherogenesis, Atherosclerosis and Atheroprotection

N. Kolchanov, V. Ivanisenko, M. Ponomarenko, 2023, International journal of molecular sciences.

Reconstruction of associative protein networks connected with processes of sodium exchange regulation and sodium deposition in healthy volunteers based on urine proteome analysis

N. A. Kolchanov, V. Ivanisenko, E. Tiys, 2012, Human Physiology.

The molecular mechanisms driving physiological changes after long duration space flights revealed by quantitative analysis of human blood proteins

C. Borchers, V. Ivanisenko, A. Percy, 2019, BMC Medical Genomics.

Prioritization of genes involved in endothelial cell apoptosis by their implication in lymphedema using an analysis of associative gene networks with ANDSystem

T. V. Ivanisenko, V. Ivanisenko, O. Saik, 2019, BMC Medical Genomics.

Enhanced Differential Evolution Entirely Parallel Method for Biomedical Applications

Vladimir A. Ivanisenko, Nikolay A. Kolchanov, Maria Samsonova, 2013, PaCT.

Apoptosis Genes as a Key to Identification of Inverse Comorbidity of Huntington’s Disease and Cancer

V. Ivanisenko, M. Nazarenko, O. Saik, 2023, International journal of molecular sciences.

FunGeneNet: a web tool to estimate enrichment of functional interactions in experimental gene sets

T. V. Ivanisenko, V. Ivanisenko, E. Tiys, 2018, BMC Genomics.

Structural modeling of NAD+ binding modes to PARP-1

V. Ivanisenko, N. Ivanisenko, D. Zhechev, 2017, Russian Journal of Genetics: Applied Research.

Evaluation of Prioritization Methods of Extrinsic Apoptotic Signaling Pathway Genes for Retrieval of the New Candidates Associated with Major Depressive Disorder

E. Khusnutdinova, V. Ivanisenko, O. Saik, 2018, Russian Journal of Genetics.

Analysis of the effects of different salt consumption levels on the urine protein composition during a 105-day isolation using the opoSOM program

V. Ivanisenko, E. Tiys, A. Kononikhin, 2017, Human Physiology.

Constant urinary proteins in healthy humans in a 520-day isolation experiment

N. A. Kolchanov, V. Ivanisenko, M. Custaud, 2016, Human Physiology.

Search for New Candidate Genes Involved in the Comorbidity of Asthma and Hypertension Based on Automatic Analysis of Scientific Literature

Ralf Hofestädt, Vladimir A. Ivanisenko, Pavel Demenkov, 2018, J. Integr. Bioinform..

PDBSite: a database of the 3D structure of protein functional sites

Vladimir A. Ivanisenko, Nikolay A. Kolchanov, Dmitry A. Grigorovich, 2004, Nucleic Acids Res..

Detection of renal and urinary tract proteins in urine before and after space flight

V. Ivanisenko, E. Tiys, A. Kononikhin, 2013, Human Physiology.

Detection of Renal Tissue and Urinary Tract Proteins in the Human Urine after Space Flight

Vladimir A. Ivanisenko, Evgeny S. Tiys, Irina M. Larina, 2013, PloS one.

Application of the ANDCell computer system to reconstruction and analysis of associative networks describing potential relationships between myopia and glaucoma

O. A. Podkolodnaya, N. A. Kolchanov, P. S. Demenkov, 2011, Russian Journal of Genetics: Applied Research.

The role of death domain proteins in host response upon SARS-CoV-2 infection: modulation of programmed cell death and translational applications

N. Kolchanov, V. Ivanisenko, N. Ivanisenko, 2020, Cell Death Discovery.

Subcellular Localization Charts: a New Visual Methodology for the Semi-Automatic Localization of protein-Related Data Sets

Ralf Hofestädt, Vladimir A. Ivanisenko, Pavel Demenkov, 2013, J. Bioinform. Comput. Biol..

[Permanent proteins in healthy human's urine in the experiment with 520-day isolation].

V A Ivanisenko, N. A. Kolchanov, V. Ivanisenko, 2014, Aviakosmicheskaia i ekologicheskaia meditsina = Aerospace and environmental medicine.

[Phylogenetic analysis of the family of p53].

N. Kolchanov, S. Pintus, E. Fomin, 2006, Biofizika.

WebProAnalyst: an interactive tool for analysis of quantitative structure–activity relationships in protein families

Vladimir A. Ivanisenko, Nikolay A. Kolchanov, Alexey M. Eroshkin, 2005, Nucleic Acids Res..

Computer simulation of the spatial structures of MUC1 peptides capable of inhibiting apoptosis

V. Ivanisenko, N. Ivanisenko, I. Lavrik, 2016, Russian Journal of Genetics: Applied Research.

Vladimir A. Ivanisenko, Pavel Demenkov, Timofey V. Ivanisenko, 2019, BMC Bioinformatics.

Molecular mechanisms underlying the impact of mutations in SOD1 on its conformational properties associated with amyotrophic lateral sclerosis as revealed with molecular modelling

S. Ramachandran, V. Ivanisenko, N. Ivanisenko, 2018, BMC Structural Biology.

Improved regression model to predict an impact of SOD1 mutations on ALS patients survival time based on analysis of hydrogen bond stability.

S. Ramachandran, V. Ivanisenko, N. Ivanisenko, 2019, Journal of molecular graphics & modelling.

Web-based computational tools for the prediction and analysis of post-translational modifications of proteins.

Vladimir A Ivanisenko, Dmitry A Afonnikov, Nikolay A Kolchanov, 2008, Methods in molecular biology.

The molecular mechanisms driving physiological changes after long duration space flights revealed by quantitative analysis of human blood proteins

C. Borchers, V. Ivanisenko, A. Percy, 2019, BMC Medical Genomics.

Reconstruction and analysis of the gene regulatory network for cell wall function in Arabidopsis thaliana L. leaves in response to water deficit

T. V. Ivanisenko, V. Ivanisenko, U. Zubairova, 2023, Vavilovskii zhurnal genetiki i selektsii.

Accurate noise-robust classification of Bacillus species from MALDI-TOF MS spectra using a denoising autoencoder

T. V. Ivanisenko, V. Ivanisenko, A. Vasilieva, 2023, J. Integr. Bioinform..

Prioritization of potential pharmacological targets for the development of anti-hepatocarcinoma drugs modulating the extrinsic apoptosis pathway: the reconstruction and analysis of associative gene networks help

T. V. Ivanisenko, V. Ivanisenko, A. V. Adamovskaya, 2023, Vavilov Journal of Genetics and Breeding.

Reconstruction of the regulatory hypermethylation network controlling hepatocellular carcinoma development during hepatitis C viral infection

T. V. Ivanisenko, V. Ivanisenko, A. D. Gavrilenko, 2023, Journal of integrative bioinformatics.

[Analysis of foreign epitopes inserted in HBcAG. Possible routes for solving the problem of chimeric core particle self assembly].

V. Ivanisenko, A. Eroshkin, L. Karpenko, 2000, Molekuliarnaia biologiia.