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  • Computer Aided Drug Design Studies in the Discovery of Secondary Metabolites Targeted Against Age-Related Neurodegenerative Diseases
    Scotti, Luciana; Scotti, Marcus Tullius Current topics in medicinal chemistry, 08/2015, Volume: 15, Issue: 21
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    Secondary metabolites are plant products that occur usually in differentiated cells, generally not being necessary for the cells themselves, but likely useful for the plant as a whole. ...
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  • Progress in Polymeric Nano-... Progress in Polymeric Nano-Medicines for Theranostic Cancer Treatment
    Ali, Imran; Alsehli, Mosa; Scotti, Luciana ... Polymers, 03/2020, Volume: 12, Issue: 3
    Journal Article
    Peer reviewed
    Open access

    Cancer is a life-threatening disease killing millions of people globally. Among various medical treatments, nano-medicines are gaining importance continuously. Many nanocarriers have been developed ...
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  • In Silico Studies Designed ... In Silico Studies Designed to Select Sesquiterpene Lactones with Potential Antichagasic Activity from an In‐House Asteraceae Database
    Acevedo, Chonny Herrera; Scotti, Luciana; Scotti, Marcus Tullius ChemMedChem, March 20, 2018, Volume: 13, Issue: 6
    Journal Article
    Peer reviewed
    Open access

    Chagas disease is an endemic disease caused by Trypanosoma cruzi, which affects more than eight million people, mostly in the Americas. A search for new treatments is necessary to control and ...
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  • Hybrid Compounds as Direct Multitarget Ligands: A Review
    de Oliveira Pedrosa, Michelle; Duarte da Cruz, Rayssa Marques; de Oliveira Viana, Jessika ... Current topics in medicinal chemistry, 04/2017, Volume: 17, Issue: 9
    Journal Article
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    Molecular Hybridization is an approach in rational drug design where new chemical entities are obtained by combining two or more pharmacophoric units from different bioactive compounds into a single ...
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  • Docking Prediction, Antifun... Docking Prediction, Antifungal Activity, Anti-Biofilm Effects on Candida spp., and Toxicity against Human Cells of Cinnamaldehyde
    da Nóbrega Alves, Danielle; Monteiro, Alex France Messias; Andrade, Patrícia Néris ... Molecules (Basel, Switzerland), 12/2020, Volume: 25, Issue: 24
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    This study evaluated the antifungal activity of cinnamaldehyde on spp. In vitro and in situ assays were carried out to test cinnamaldehyde for its anti- effects, antibiofilm activity, effects on ...
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  • Machine-Learning- and Struc... Machine-Learning- and Structure-Based Virtual Screening for Selecting Cinnamic Acid Derivatives as Leishmania major DHFR-TS Inhibitors
    Muñoz-Vega, Maria Camila; López-Hernández, Sofía; Sierra-Chavarro, Adrián ... Molecules (Basel, Switzerland), 12/2023, Volume: 29, Issue: 1
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    The critical enzyme dihydrofolate reductase-thymidylate synthase in ( DHFR-TS) serves a dual-purpose role and is essential for DNA synthesis, a cornerstone of the parasite's reproductive processes. ...
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  • Machine Learning, Molecular Modeling, and QSAR Studies on Natural Products Against Alzheimer's Disease
    de Moura, Érika Paiva; Fernandes, Natan Dias; Monteiro, Alex France Messias ... Current medicinal chemistry, 01/2021, Volume: 28, Issue: 38
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    Alzheimer's disease (AD) is a very common neurodegenerative disorder in individuals over 65 years of age; however, younger individuals can also be affected due to brain damage. The general symptoms ...
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  • MolPredictX: Online Biologi... MolPredictX: Online Biological Activity Predictions by Machine Learning Models
    Tullius Scotti, Marcus; Herrera‐Acevedo, Chonny; Barros de Menezes, Renata Priscila ... Molecular informatics, December 2022, 2022-12-00, 20221201, Volume: 41, Issue: 12
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    Here we report the development of MolPredictX, an innovate and freely accessible web interface for biological activity predictions of query molecules. MolPredictX utilizes in‐house QSAR models to ...
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