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Vinicius M. Alves

Researcher at University of North Carolina at Chapel Hill

Publications -  48
Citations -  1232

Vinicius M. Alves is an academic researcher from University of North Carolina at Chapel Hill. The author has contributed to research in topics: Computer science & Quantitative structure–activity relationship. The author has an hindex of 16, co-authored 44 publications receiving 784 citations. Previous affiliations of Vinicius M. Alves include Universidade Federal de Goiás & National Institutes of Health.

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Pred-hERG: A Novel web-Accessible Computational Tool for Predicting Cardiac Toxicity.

TL;DR: The development of an innovative and freely accessible web server for early identification of putative hERG blockers and non‐blockers in chemical libraries and develops robust and externally predictive binary and multiclass models.
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CoMPARA: Collaborative Modeling Project for Androgen Receptor Activity.

Kamel Mansouri, +73 more
TL;DR: The Collaborative Modeling Project for Androgen Receptor Activity (CoMPARA) efforts are described, which follows the steps of the Collaborative Estrogen Recept Activity Prediction Project (CERAPP).
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Tuning HERG out: antitarget QSAR models for drug development.

TL;DR: This study aimed to generate predictive and well-characterized quantitative structure-activity relationship (QSAR) models for hERG blockage using the largest publicly available dataset of 11,958 compounds from the ChEMBL database and identified putative hERG blockers and non-blockers among currently marketed drugs.
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Pred-Skin: A Fast and Reliable Web Application to Assess Skin Sensitization Effect of Chemicals.

TL;DR: The Pred-Skin web app is the first tool available that incorporates quantitative structure-activity relationship (QSAR) models based on human data as well as multiclass models for LLNA for the identification of potential skin sensitizers.