S. Ivanov

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Network-Based Analysis of OMICs Data to Understand the HIV–Host Interaction

A. Lagunin, O. Tarasova, S. Ivanov, 2020, Frontiers in Microbiology.

Network-Based Analysis of OMICs Data to Understand the HIV-Host Interaction

A. Lagunin, O. Tarasova, S. Ivanov, 2020 .

Computer-aided prediction of biological activity spectra for organic compounds: the possibilities and limitations

V. Poroikov, A. Lagunin, O. Tarasova, 2019, Russian Chemical Bulletin.

Automated Extraction of Information From Texts of Scientific Publications: Insights Into HIV Treatment Strategies

V. Poroikov, O. Tarasova, S. Ivanov, 2020, Frontiers in Genetics.

Data and Text Mining Help Identify Key Proteins Involved in the Molecular Mechanisms Shared by SARS-CoV-2 and HIV-1

V. Poroikov, O. Tarasova, S. Ivanov, 2020, Molecules.

Chemo- and bioinformatics resources for in silico drug discovery from medicinal plants beyond their traditional use: a critical review.

Vladimir V Poroikov, Anastassia V. Rudik, Dinesh Y. Gawande, 2014, Natural product reports.

In silico assessment of adverse drug reactions and associated mechanisms.

Vladimir V Poroikov, Alexey A Lagunin, V. Poroikov, 2016, Drug discovery today.

Computational platform Way2Drug: from the prediction of biological activity to drug repurposing

A. S. Gaur, V. Poroikov, T. Gloriozova, 2017, Russian Chemical Bulletin.

Web Resources for Discovery and Development of New Medicines

V. Poroikov, G. N. Sastry, S. Ivanov, 2017, Pharmaceutical Chemistry Journal.

Computer-Aided Xenobiotic Toxicity Prediction Taking into Account their Metabolism in the Human Body

V. Poroikov, A. Lagunin, S. Ivanov, 2019, Biochemistry (Moscow), Supplement Series B: Biomedical Chemistry.

Attenuation of hyperhomocysteinemia induced vascular dementia by sodium orthovanadate perhaps via PTP1B: Pertinent downstream outcomes

A. Lagunin, S. Ivanov, R. Goel, 2019, Behavioural Brain Research.

Assessment of the cardiovascular adverse effects of drug-drug interactions through a combined analysis of spontaneous reports and predicted drug-target interactions

V. Poroikov, A. Lagunin, S. Ivanov, 2019, bioRxiv.

Integral estimation of xenobiotics’ toxicity with regard to their metabolism in human organism

V. Poroikov, A. Lagunin, O. Tarasova, 2017 .

Comprehensive analysis of HIV elite controllers’ and progressors’ transcriptional profiles from CD8+ T lymphocytes demonstrates heterogeneity of pathways and master regulators, which may be essential for disease nonprogression

O. Tarasova, S. Ivanov, D. Filimonov, 2020, bioRxiv.

Computer search for molecular mechanisms of ulcerogenic action of non-steroidal anti-inflammatory drugs

V. Poroikov, A. Zakharov, A. Lagunin, 2013, Biochemistry (Moscow) Supplement Series B: Biomedical Chemistry.

Bioinformatics guided rotenone adjuvant kindling in mice as a new animal model of drug-resistant epilepsy

A. Lagunin, S. Ivanov, R. Goel, 2022, Comput. Biol. Medicine.

Web Resources for Discovery and Development of New Medicines

V. Poroikov, G. N. Sastry, S. Ivanov, 2017, Pharmaceutical Chemistry Journal.

Identification of drug-induced myocardial infarction-related protein targets through the prediction of drug-target interactions and analysis of biological processes.

V. Poroikov, A. Lagunin, S. Ivanov, 2014, Chemical research in toxicology.

Machine Learning Methods in Antiviral Drug Discovery

V. Poroikov, A. Lagunin, S. Ivanov, 2021, Biophysical and Computational Tools in Drug Discovery.

Combined network pharmacology and virtual reverse pharmacology approaches for identification of potential targets to treat vascular dementia

A. Lagunin, S. Ivanov, D. Filimonov, 2020, Scientific Reports.

Glycogen synthase kinase-3 inhibition as a potential pharmacological target for vascular dementia: In silico and in vivo evidence

Alexey Lagunin, Sandeep Kumar, Rajesh Kumar Goel, 2019, Comput. Biol. Medicine.

In silico method for identification of promising anticancer drug targets

V V Poroikov, A A Lagunin, D A Filimonov, 2009, SAR and QSAR in environmental research.

DIGEP-Pred: web service for in silico prediction of drug-induced gene expression profiles based on structural formula

Sergey Ivanov, Vladimir Poroikov, Alexey Lagunin, 2013, Bioinform..

A computational analysis of transcriptional profiles from CD8(+) T lymphocytes reveals potential mechanisms of HIV/AIDS control and progression

S. Ivanov, D. Filimonov, O. Tarasova, 2021, Computational and structural biotechnology journal.

Analysis of receptors responsible for the dysfunction of the human immune system by different viral infections

V. Poroikov, O. Tarasova, S. Ivanov, 2022, bioRxiv.

ADVERPred-Web Service for Prediction of Adverse Effects of Drugs

Alexey Lagunin, Anastasia V. Rudik, Dmitry A. Filimonov, 2017, J. Chem. Inf. Model..

CLC-Pred 2.0: A Freely Available Web Application for In Silico Prediction of Human Cell Line Cytotoxicity and Molecular Mechanisms of Action for Druglike Compounds

V. Poroikov, A. Lagunin, S. Ivanov, 2023, International journal of molecular sciences.

MutEx: a multifaceted gateway for exploring integrative pan-cancer genomic data

Yan Guo, Hui Yu, Jeremy Chien, 2019, Briefings Bioinform..

Relationships between the Structure and Severe Drug-Induced Liver Injury for Low, Medium, and High Doses of Drugs.

V. Poroikov, A. Lagunin, S. Ivanov, 2022, Chemical research in toxicology.

Computer Prediction of Adverse Drug Effects on the Cardiovascular System

V. Poroikov, A. Lagunin, S. Ivanov, 2018, Pharmaceutical Chemistry Journal.

Prediction of Adverse Effects of Drug–Drug Interactions on Cardiovascular System Based on the Analysis of Structure–Activity Relationships

S. Ivanov, Alexander V Dmitriev, Vladislav S. Sukhachev, 2022, Biochemistry (Moscow).

A Computational Approach for the Prediction of Treatment History and the Effectiveness or Failure of Antiretroviral Therapy

V. Poroikov, A. Lagunin, O. Tarasova, 2020, International journal of molecular sciences.

Comparison of Quantitative and Qualitative (Q)SAR Models Created for the Prediction of Ki and IC50 Values of Antitarget Inhibitors

Dmitry A. Filimonov, Pavel V. Pogodin, Alexey A. Lagunin, 2018, Front. Pharmacol..

Combined network pharmacology and virtual reverse pharmacology approaches for identification of potential targets to treat vascular dementia

Dmitry A. Filimonov, Tatyana A. Gloriozova, Pavel V. Pogodin, 2020, Scientific Reports.

Identification of potential drug targets for treatment of refractory epilepsy using network pharmacology

Sergey Ivanov, Sandeep Kumar, Vladimir Poroikov, 2018, J. Bioinform. Comput. Biol..