Vinicius Alves
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Research Assistant Professor
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About
Vinicius Alves is a Research Assistant Professor at the University of North Carolina at Chapel Hill. His research focuses on cheminformatics, computational assessments of drug interactions, and the application of artificial intelligence in drug discovery and toxicity testing. Recent publications include studies on proteinase-activated receptors, predictive machine learning models, and the impact of data quality on AI models used as alternatives to animal testing. He is dedicated to enhancing drug development processes through innovative methodologies.
Recent Grants
Grant: Close
STopTox: A Comprehensive In Silico Platform for Predicting Systemic and Topical Toxicity
Open Date: 2021-01-01
Close Date: 2022-01-01
Grant: Close
Development of a web-based platform implementing novel Predictor of Skin Sensitization for Medical Devices (PreSS/MD)
Open Date: 2020-01-01
Close Date: 2021-01-01
Grant: Close
Development of Platform based on hybrid in silico - in vitro models for human skin sensitization as alternative to animal testing of new drug candidates and cosmetics.
Open Date: 2014-09-01
Close Date: 2017-09-01
Grant: Close
Integrated strategies to the evaluation of toxicity and development of a server to in silico identification of putative toxicants.
Open Date: 2014-02-01
Close Date: 2017-02-01
Grant: Close
Development of a in silico models for evaluation of skin sensitization
Open Date: 2012-09-01
Close Date: 2017-05-01
Articles (12)
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2025
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2024
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2023
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2023
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2022
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2021
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2021
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2021
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2021
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2021
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2020
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2020
Collaborators (3)
Eugene N Muratov
University of North Carolina
Arthur de Carvalho e Silva
University of Birmingham
Alexander Tropsha
Professor, Associate Dean for Pharmacoinformatics and Data Science
University of North Carolina
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