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Vinicius Alves

  • PhD
  • Research Scientist
  • Cheminfordata
  • 7h-indexImpact measure calculated using publication and citation counts. Updated daily.
  • 117CitationsNumber of citations received by Vinicius's publications. Updated daily.

Research interests

Computational ToxicologyCheminformaticsNeglected Tropical DiseasesDrug MetabolismDrug DesignVirtual ScreeningQSAR

About

Vinicius M. Alves is a Research Scientist at Cheminfordata, a start-up company providing computational solutions for drug discovery. He received his Ph.D. degree in Pharmaceutical Innovation (2017) from the Federal University of Goias (UFG), Brazil. He has experience in the development and implementation of innovative cheminformatics and molecular modeling approaches; quantitative structure-activity relationships (QSAR) modeling; complex data analysis; and application of predictive models in screening large libraries of virtual compounds for prioritizing hits to be tested experimentally. He is currently interested in analyzing and modeling complex interactions between chemical structures and various types of biological targets to design novel compounds with desired activity and safety profiles. Vinicius received a Bachelor of Science in Pharmacy (2012), followed by a Master of Science in Pharmaceutical Sciences (2014) from UFG. During his Masters and Ph.D. studies, he published 11 papers (h-index = 7, Google Scholar) in highly impactful peerreviewed journals, including two papers in the Green Chemistry journal (IF = 8.5). He received in 2014 the Chemical Information Scholarship for Scientific Excellence awarded by the American Chemical Society. He visited the University of Florida (USA) as a Research Intern (2011) advised by Prof. Kenneth Merz. He also attended the University of North Carolina at Chapel Hill (USA) in 2012 as a Research Intern and in 2015-2016 as a visiting Ph.D. student, both times under the mentorship of Prof. Alexander Tropsha.

Co-authors (33)

Publications (19)

Computational approaches for predicting hERG activity

  • Alves V
  • Braga R
  • Andrade C
Computational Toxicology: Risk Assessment for Pharmaceutical and Environmental Chemicals (2017)
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Alarms about structural alerts.

  • Alves V
  • Muratov E
  • Capuzzi S
Green chemistry : an international journal and green chemistry resource : GC (2016)
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QSAR models of human data can enrich or replace LLNA testing for human skin sensitization

  • Alves V
  • Capuzzi S
  • Muratov E
Green Chem. (2016)
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Predicting chemically-induced skin reactions. Part I: QSAR models of skin sensitization and their application to identify potentially hazardous compounds.

  • Alves V
  • Muratov E
  • Fourches D
Toxicology and applied pharmacology (2015)
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Predicting chemically-induced skin reactions. Part II: QSAR models of skin permeability and the relationships between skin permeability and skin sensitization

  • Alves V
  • Muratov E
  • Fourches D
Toxicology and applied pharmacology (2015)
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Professional experience

Research Scientist

Cheminfordata

June 2017 - Present

Visiting PhD Student

University of North Carolina Eshelman School of Pharmacy

August 2015 - August 2016(a year)

Undergraduate Research Fellow

University of North Carolina Eshelman School of Pharmacy

February 2012 - August 2012(6 months)

Undergraduate Research Fellow

Quantum Theory Project, University of Florida

January 2011 - March 2011(2 months)

Education history

PhD

Cheminfordata

April 2014 - May 2017(3 years)

Masters in Pharmaceutical Sciences

Cheminfordata

September 2012 - March 2014(2 years)

Bachelor in Pharmacy

Cheminfordata

March 2008 - September 2012(5 years)