Explanipedia

Streamlining Drug Developments Through the In Silico Approach to Ligand-Target Interactions Open

Dmitry Kuznetsov · 2025

BROKERS OF THE METAVERSE: HOW A WEB3 PLAY-TO-EARN GAMING GUILD ACTS AS CULTURAL MEDIATOR ON TWITTER Open

Violeta Camarasa San Juan, Dmitry Kuznetsov · 2025

Play-to-earn (P2E) games targeting users unfamiliar with cryptocurrencies are playing a key role within the industries known as blockchain, crypto or Web3. P2E gaming guilds (Elliott, 2021) are emerging as essential intermediaries bridging…

A Novel Capillary Zone Electrophoresis Technique for Pharmacokinetic Studies on Porphyrin-C<sub>60</sub> Based Neuroprotectors. Preliminary Report Open

Alexander A. Bukhvostov, A. S. Semenova, O. V. Kamkina, Stanislav Arkhangelskiy, Dmitry Kuznetsov · 2025

A large collection of bioinformatics question–query pairs over federated knowledge graphs: methodology and applications Open

Jerven Bolleman, Vincent Emonet, Adrian Altenhoff, Amos Bairoch, Marie-Claude Blatter , et al. · 2025

Background In recent decades, several life science resources have structured data using the same framework and made these accessible using the same query language to facilitate interoperability. Knowledge graphs have seen increased adoptio…

OrthoDB and BUSCO update: annotation of orthologs with wider sampling of genomes Open

Fredrik Tegenfeldt, Dmitry Kuznetsov, Mosè Manni, Matthew Berkeley, Evgeny M. Zdobnov , et al. · 2024

OrthoDB (https://www.orthodb.org) offers evolutionary and functional annotations of orthologous genes in the widest sampling of eukaryotes, prokaryotes, and viruses, extending experimental gene function knowledge to newly sequenced genomes…

A large collection of bioinformatics question-query pairs over federated knowledge graphs: methodology and applications Open

Jerven Bolleman, Vincent Emonet, Adrian Altenhoff, Amos Bairoch, Marie-Claude Blatter , et al. · 2024

Background. In the last decades, several life science resources have structured data using the same framework and made these accessible using the same query language to facilitate interoperability. Knowledge graphs have seen increased adop…

Estimating risk of consequences following hypoglycaemia exposure using the Hypo-RESOLVE cohort: a secondary analysis of pooled data from insulin clinical trials Open

Joseph Mellor, Dmitry Kuznetsov, Simon Heller, Mari‐Anne Gall, Myriam Rosilio , et al. · 2024

Aims/hypothesis Whether hypoglycaemia increases the risk of other adverse outcomes in diabetes remains controversial, especially for hypoglycaemia episodes not requiring assistance from another person. An objective of the Hypoglycaemia REd…

Risk factors and prediction of hypoglycaemia using the Hypo-RESOLVE cohort: a secondary analysis of pooled data from insulin clinical trials Open

Joseph Mellor, Dmitry Kuznetsov, Simon Heller, Mari‐Anne Gall, Myriam Rosilio , et al. · 2024

A Federated Database for Obesity Research: An IMI-SOPHIA Study Open

Carl Delfin, Iulian Dragan, Dmitry Kuznetsov, Juan Fernández Tajes, Femke Smit , et al. · 2024

Obesity is considered by many as a lifestyle choice rather than a chronic progressive disease. The Innovative Medicines Initiative (IMI) SOPHIA (Stratification of Obesity Phenotypes to Optimize Future Obesity Therapy) project is part of a …

The SIB Swiss Institute of Bioinformatics Semantic Web of data Open

Adrian Altenhoff, Amos Bairoch, Parit Bansal, Delphine Baratin, Frederic Bastian , et al. · 2023

The SIB Swiss Institute of Bioinformatics (https://www.sib.swiss/) is a federation of bioinformatics research and service groups. The international life science community in academia and industry has been accessing the freely available dat…

Identification of biomarkers for glycaemic deterioration in type 2 diabetes Open

Roderick C. Slieker, Louise A. Donnelly, Elina Akalestou, Livia López–Noriega, Rana Melhem , et al. · 2023

Author Correction: Magnetic field and nuclear spin influence on the DNA synthesis rate Open

С. В. Стовбун, Dmitry V. Zlenko, Alexander A. Bukhvostov, Alexander S. Vedenkin, Alexey A. Skoblin , et al. · 2023

Graphical Abstract: Angew. Chem. Int. Ed. 4/2023 Open

Anna Hartmann, Marion Schulz, A.J. Harmata, Bec J. Roldan, Corey R. J. Stephenson , et al. · 2023

Lithium Ion BatteriesFast charging of high-energy Li-ion batteries is achieved by simultaneously reducing the anode and cathode charge transfer energy barriers through electrolyte engineering, as reported by Chong Yan, Qiang Zhang et al. i…

OrthoDB v11: annotation of orthologs in the widest sampling of organismal diversity Open

Dmitry Kuznetsov, Fredrik Tegenfeldt, Mosè Manni, Mathieu Seppey, Matthew Berkeley , et al. · 2022

OrthoDB provides evolutionary and functional annotations of genes in a diverse sampling of eukaryotes, prokaryotes, and viruses. Genomics continues to accelerate our exploration of gene diversity and orthology is the most precise way of br…

Magnetic Field and Nuclear Spin Influence on the DNA Synthesis Rate Open

С. В. Стовбун, Dmitry V. Zlenko, Alexander A. Bukhvostov, Alexander S. Vedenkin, Alexey A. Skoblin , et al. · 2022

Chemical reactions can be isotope-sensitive and alter the isotope composition in the products concerning that in the initial compounds. Besides that, the rate and, probably, the pathway of certain reactions can depend on the nuclear spin o…

Novel subgroups of type 2 diabetes based on multi-Omics profiling: an IMI-RHAPSODY Study Open

Shiying Li, Iulian Dragan, Chun Ho Fung, Dmitry Kuznetsov, Michael K. Hansen , et al. · 2022

Type 2 diabetes is a complex, multifactorial disease with varying presentation and underlying pathophysiology. Recent studies using data-driven cluster analysis have led to a stratification of type 2 diabetes into novel subgroups based on …

MAB-Malware Open

Wei Song, Xuezixiang Li, Sadia Afroz, Deepali Garg, Dmitry Kuznetsov , et al. · 2022

Modern commercial antivirus systems increasingly rely on machine learning (ML) to keep up with the rampant inflation of new malware. However, it is well-known that machine learning models are vulnerable to adversarial examples (AEs). Previ…

Distinct Molecular Signatures of Clinical Clusters in People With Type 2 Diabetes: An IMI-RHAPSODY Study Open

Roderick C. Slieker, Louise A. Donnelly, Hugo Fitipaldi, Gerard A. Bouland, Giuseppe N. Giordano , et al. · 2021

Type 2 diabetes is a multifactorial disease with multiple underlying aetiologies. To address this heterogeneity, investigators of a previous study clustered people with diabetes according to five diabetes subtypes. The aim of the current s…

Replication and cross-validation of type 2 diabetes subtypes based on clinical variables: an IMI-RHAPSODY study Open

Roderick C. Slieker, Louise A. Donnelly, Hugo Fitipaldi, Gerard A. Bouland, Giuseppe N. Giordano , et al. · 2021

Aims/hypothesis Five clusters based on clinical characteristics have been suggested as diabetes subtypes: one autoimmune and four subtypes of type 2 diabetes. In the current study we replicate and cross-validate these type 2 diabetes clust…

Genes and Cancer under Magnetic Control Open

Anatoly L. Buchachenko, Dmitry Kuznetsov · 2021

Many experimental observations convincingly demonstrate that the genes and genome as a whole are sensitive to the magnetic fields, permanent and oscillating. The invasion of nuclear magnetic stable isotopes of Mg, Ca, and Zn in enzymatic c…

Replication and cross-validation of T2D subtypes based on clinical variables: an IMI-RHAPSODY study Open

Roderick C. Slieker, Louise A. Donnelly, Hugo Fitipaldi, Gerard A. Bouland, Giuseppe N. Giordano , et al. · 2020

Aims/hypothesis Five clusters based on clinical characteristics have been suggested as diabetes subtypes: one autoimmune and four subtypes of type 2 diabetes (T2D). In the current study we replicate and cross-validate these T2D clusters in…

<i>dsSwissKnife</i>: An R package for federated data analysis Open

Iulian Dragan, Thomas Sparsø, Dmitry Kuznetsov, Roderick C. Slieker, Mark Ibberson · 2020

Summary dsSwissKnife is an R package that enables several powerful analyses to be performed on federated datasets. The package works alongside DataSHIELD and extends its functionality. We have developed and implemented dsSwissKnife in a la…

OrthoDB in 2020: evolutionary and functional annotations of orthologs Open

Evgeny M. Zdobnov, Dmitry Kuznetsov, Fredrik Tegenfeldt, Mosè Manni, Matthew Berkeley , et al. · 2020

OrthoDB provides evolutionary and functional annotations of orthologs, inferred for a vast number of available organisms. OrthoDB is leading in the coverage and genomic diversity sampling of Eukaryotes, Prokaryotes and Viruses, and the sam…

SystemC-model for GigaSpaceWire Protocol Simulation Open

Valentin Olenev, Dmitry Kuznetsov · 2020

The paper describes implementation process of GigaSpaceWire protocol simulation System-C model. At current point there is no available or implemented simulation models of this protocol. Implementation of GigaSpaceWire model will offer the …

A Nuclear Magnetic Insight Towards the Cytostatic Potential of Medicinal Plant Extracts Replay to Al Wihibi et al Biomedica 2019;35(4):203-209 Open

Alexander A. Bukhvostov, Kirill V. Ermakov, Dmitry Kuznetsov · 2020

Cytostatic activities of water and organic extracts prepared from medicinal higher plants including Ducrosia anethifolia should be analyzed by taking into account the “hidden” magnetic isotope effects of stable metal isotopes (25Mg, 43Ca, …

MAB-Malware: A Reinforcement Learning Framework for Attacking Static Malware Classifiers Open

Wei Song, Xuezixiang Li, Sadia Afroz, Deepali Garg, Dmitry Kuznetsov , et al. · 2020

Modern commercial antivirus systems increasingly rely on machine learning to keep up with the rampant inflation of new malware. However, it is well-known that machine learning models are vulnerable to adversarial examples (AEs). Previous w…

Automatic Generation of Adversarial Examples for Interpreting Malware Classifiers. Open

Wei Song, Xuezixiang Li, Sadia Afroz, Deepali Garg, Dmitry Kuznetsov , et al. · 2020

Recent advances in adversarial attacks have shown that machine learning classifiers based on static analysis are vulnerable to adversarial attacks. However, real-world antivirus systems do not rely only on static classifiers, thus many of …

COMPARATIVE ANALYSIS OF POPULAR FACIAL RECOGNITION TECHNIQUES IN THE IMAGES Open

Dmitry Kuznetsov, V.A. Damm, Andrey Kuznetsov, R.B. Tregubov · 2019

Применение методов многомодальной аутентификации. Выбор наиболее эффективного метода с точки зрения достоверности процедуры аутентификации. Анализ методов распознавания лиц: метод гибкого сравнения на графах, метод главных компонент, метод…

CLASSIFICATION OF DETECTION AND RECOGNITION METHODS OF THE PERSON ON THE IMAGE Open

Dmitry Kuznetsov, P.G. Nikolsky, Dmytro S. Rachkov, Andrey Kuznetsov, A.P. Khakhamov · 2019

Выбор оптимальных с точки зрения точности и простоты реализации методов обнаружения и распознавания лица на изображении

Primer-Like Inhibitors for DNA Repair Enzymes of the AML-HL60 and WERI-1A/Y79 Malignant Cells Open

Sergei V. Stovbun, Kirill V. Ermakov, Alexander A. Bukhvostov, Alexander S. Vedenkin, Dmitry Kuznetsov · 2019

A conventionally synthesized thio- and cyano-modified single-stranded poly(dNTP) sequences of different molecular sizes (20n - 200n) and the same lengths routine poly(dNTP) and poly(NTP) species were obtained through the good services prov…

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