A5013131159- Computational Drug Discovery Methods
- Machine Learning in Materials Science
- DNA Repair Mechanisms
- Mycotoxins in Agriculture and Food
- Radiation Therapy and Dosimetry
- Effects of Radiation Exposure
- Protein Structure and Dynamics
- Genomics, phytochemicals, and oxidative stress
- Plant Genetic and Mutation Studies
- Childhood Cancer Survivors' Quality of Life
- Phytochemistry and Biological Activities
- Cholesterol and Lipid Metabolism
- Radiation Effects and Dosimetry
- Coenzyme Q10 studies and effects
- Advanced Radiotherapy Techniques
- Essential Oils and Antimicrobial Activity
- Molecular Biology Techniques and Applications
- Adipokines, Inflammation, and Metabolic Diseases
- Carcinogens and Genotoxicity Assessment
- Biochemical effects in animals
- Immune cells in cancer
- Bioactive natural compounds
- DNA and Nucleic Acid Chemistry
- Inflammasome and immune disorders
- Indoor Air Quality and Microbial Exposure
National Academy of Sciences of Armenia
2017-2025
Institute of Molecular Biology
2017-2025
Scientific Center of Zoology and Hydroecology
2024
Yerevan State University
2022
Introduction Autoinflammatory and autoimmune disorders are characterized by aberrant changes in innate adaptive immunity that may lead from an initial inflammatory state to organ specific damage. These possess heterogeneity terms of affected organs clinical phenotypes. However, despite the differences etiology phenotypic variations, they share genetic associations, treatment responses manifestations. The mechanisms involved their initiation development remain poorly understood, however...
We discover a robust self-supervised strategy tailored toward molecular representations for generative masked language models through series of tailored, in-depth ablations. Using this pretraining strategy, we train BARTSmiles, BART-like model with an order magnitude more compute than previous representations. In-depth evaluations show that BARTSmiles consistently outperforms other across classification, regression, and generation tasks, setting new state-of-the-art on eight tasks. then when...
Piperazine, norbornene, and their derivatives are valuable scaffolds in rational drug design, with promising therapeutic applications various diseases, including cancer. Given that hybridization of privileged structures is a highly effective strategy development, we synthesized piperazine containing norbornenyl fragment using straightforward synthetic pathway. Eight norbornenylpiperazine compounds (4a–4h) were evaluated for potential interactions target proteins, along an silico assessment...
Type 2 diabetes mellitus (T2DM) is a severe health problem worldwide, reaching epidemic levels. High susceptibility to infections of T2DM patients indicates dysregulated immune responses pathogens. However, innate responses, including monocyte functions, in are poorly investigated. Therefore, this study we aimed assess lipopolysaccharide- (LPS-) induced circulating monocytes from patients. The results showed that were hyporesponsive LPS challenge as reflected by significantly suppressed...
Rapidly evolving laser technologies have led to the development of laser-generated particle accelerators as an alternative conventional facilities. However, radiobiological characteristics need be determined enhance their applications in biology and medicine. In this study, effects ultrashort pulsed electron beam (UPEB) X-ray radiation human lung fibroblasts (MRC-5 cell line) exposed doses 0.1, 0.5, 1 Gy are compared. The changes γH2AX foci number a marker DNA double-strand breaks (DSBs)...
We discover a robust self-supervised strategy tailored towards molecular representations for generative masked language models through series of tailored, in-depth ablations. Using this pre-training strategy, we train BARTSmiles, BART-like model with an order magnitude more compute than previous representations. In-depth evaluations show that BARTSmiles consistently outperforms other across classification, regression, and generation tasks setting new state-of-the-art on 11 tasks. then...
Collecting labeled data for many important tasks in chemoinformatics is time consuming and requires expensive experiments. In recent years, machine learning has been used to learn rich representations of molecules using large scale unlabeled molecular datasets transfer the knowledge solve more challenging with limited datasets. Variational autoencoders are one tools that have proposed perform both chemical property prediction generation tasks. this work we propose a simple method improve...
Introduction: Many plant-derived products despite wide usage are not scientifically evaluated for their safety and efficacy. Therefore, in the present study, we aimed to evaluate cytotoxic genotoxic activities of Polygonum aviculare L., Equisetum arvense Plantago lanceolata L. Artemisia absinthium ethanolic extracts human white blood cells. Methods: Cell viability was assayed by trypan blue exclusion method, while genotoxicity tested cytokinesis-block micronucleus (CBMN) assay upon cells...
Leukemia represents a serious public health concern as the incidence is increasing worldwide. In this study we aimed to describe epidemiological profile of acute lymphoblastic (ALL) and myeloid (AML) leukemia, identify disease clusters find association with possible risk factors.Data on leukemia cases were provided by National Institute Health Republic Armenia for period 2012-2018. Age-standardized rate was calculated using Segi World Population. SaTScan purely spatial analysis applied...
The laser-driven particle acceleration technology has been developed over the last decade as a possible alternative to conventional accelerators.The significantly smaller size and cost, well precise beam orientation compared with cyclotrons ensure potential application of irradiation in imaging treatment cancerous cells.However, radiobiological studies on laser-generated bunches are still required promote its clinical practice.The aim work was investigate ultrafast electron effect DNA damage...
Радиозащитный эффект креатина при повреждении ДНК мононуклеарных клеток периферической крови и адаптационные возможности креатин-креатинкиназной системы мозга печени крысНерсесова Л.С., Петросян М.С., Бабаян Н.С., Тадевосян Г
first_page Download PDF settings Order Article Reprints Font Type: Arial Georgia Verdana Size: Aa Line Spacing: Column Width: Background: Open AccessAbstract Enhancing Chemical-Induced Human Carcinogenic Risk Evaluation through Advanced AI Technologies † by Nelly BabayanNelly Babayan SciProfiles Scilit Preprints.org Google Scholar 1,2,*, Helga StopperHelga Stopper 3, Lusine KhondkaryanLusine Khondkaryan 1,2, Ani TevosyanAni Tevosyan 2,4, Gohar TadevosyanGohar Tadevosyan 1, Lilit...
In silico (quantitative) structure-activity relationship modeling is an approach that provides a fast and cost-effective alternative to assess the genotoxic potential of chemicals. However, one limiting factors for model development availability consolidated experimental datasets. present study, we collected data on micronuclei in vitro vivo, utilizing databases conducting PubMed search, aided by text mining using BioBERT large language model. Chemotype enrichment analysis updated datasets...
Introduction: Plants containing β-sitosterol and oleamide are important for various diseases. So, Dillenia indica, D. obovata, pentagyna were investigated phytochemicals, cytotoxicity genotoxicity levels on peripheral blood mononuclear cells (PBMCs) Hela cells. The protective effect of extract a HepG2 cell line was also investigated. Methods: Gas chromatography-mass spectrometry (GC-MS) high-performance liquid chromatography (HPLC) used phytochemical analysis. 3-(4,5-dimethylthiazol-2-...