Titolo |
Pubblicato in |
Anno |
Human estrogen receptor α antagonists, part 2: Synthesis driven by rational design, in vitro antiproliferative, and in vivo anticancer evaluation of innovative coumarin-related antiestrogens as breast cancer suppressants |
EUROPEAN JOURNAL OF MEDICINAL CHEMISTRY |
2022 |
Targeting the anti-apoptotic Bcl-2 family proteins: Machine learning virtual screening and biological evaluation of new small molecules |
THERANOSTICS |
2022 |
Essential Oils Biofilm Modulation Activity and Machine Learning Analysis on Pseudomonas aeruginosa Isolates from Cystic Fibrosis Patients |
MICROORGANISMS |
2022 |
In vivo Antiphytoviral Activity of Essential Oils and Hydrosols From Origanum vulgare, Thymus vulgaris, and Rosmarinus officinalis to Control Zucchini Yellow Mosaic Virus and Tomato Leaf Curl New Delhi Virus in Cucurbita pepo L |
FRONTIERS IN MICROBIOLOGY |
2022 |
Ligand-based and structure-based studies to develop predictive models for {SARS}-{CoV}-2 main protease inhibitors through the 3d-qsar.com portal |
JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN |
2022 |
Human Estrogen Receptor Alpha Antagonists, Part 3: 3-D Pharmacophore and 3-D QSAR Guided Brefeldin A Hit-to-Lead Optimization toward New Breast Cancer Suppressants |
MOLECULES |
2022 |
Machine learning data augmentation as a tool to enhance quantitative composition–activity relationships of complex mixtures. A new application to dissect the role of main chemical components in bioactive essential oils |
MOLECULES |
2021 |
A comparative analysis of punicalagin interaction with PDIA1 and PDIA3 by biochemical and computational approaches |
BIOMEDICINES |
2021 |
Antitumor effect of Melaleuca alternifolia essential oil and its main component terpinen-4-ol in combination with target therapy in melanoma models |
CELL DEATH DISCOVERY |
2021 |
Human Estrogen Receptor α Antagonists. Part 1: 3-D QSAR-Driven Rational Design of Innovative Coumarin-Related Antiestrogens as Breast Cancer Suppressants through Structure-Based and Ligand-Based Studies |
JOURNAL OF CHEMICAL INFORMATION AND MODELING |
2021 |
Discovery of the first human arylsulfatase a reversible inhibitor impairing mouse oocyte fertilization |
ACS CHEMICAL BIOLOGY |
2020 |
Potent in vitro activity of citrus aurantium essential oil and vitis vinifera hydrolate against gut yeast isolates from irritable bowel syndrome patients—the right mix for potential therapeutic use |
NUTRIENTS |
2020 |
Experimental data based machine learning classification models with predictive ability to select in vitro active antiviral and non-toxic essential oils |
MOLECULES |
2020 |
Identification of Inhibitors to trypanosoma cruzi sirtuins based on compounds developed to human enzymes |
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES |
2020 |
Antimicrobial essential oil formulation: chitosan coated nanoemulsions for nose to brain delivery |
PHARMACEUTICS |
2020 |
Essential oils biofilm modulation activity, chemical and machine learning analysis. Application on staphylococcus aureus isolates from cystic fibrosis patients |
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES |
2020 |
Machine learning analyses on data including essential oil chemical composition and in vitro experimental antibiofilm activities against Staphylococcus species. |
MOLECULES |
2019 |
Chemical composition and antimicrobial activity of essential oil of Helichrysum italicum (Roth) G. Don fil. (Asteraceae) from Montenegro |
NATURAL PRODUCT RESEARCH |
2019 |
Dissecting the role of novel EZH2 inhibitors in primary glioblastoma cell cultures: effects on proliferation, epithelial-mesenchymal transition, migration, and on the pro-inflammatory phenotype |
CLINICAL EPIGENETICS |
2019 |
Essential oil extraction, chemical analysis and anti-candida activity of foeniculum vulgare Miller - new approaches |
NATURAL PRODUCT RESEARCH |
2018 |