Kamel Mansouri
19 SlideShares 8 Seguidores 2 Seguindos
Personal Information
Organização/Local de trabalho
Raleigh-Durham, North Carolina Area, NC United States
Cargo
Investigator - Cheminformatics and Computational Toxicology at ScitoVation
Setor
Education
Site
http://orcid.org/0000-0002-6426-8036
Sobre
- Computational Chemist/Toxicologist - Expert in chemoinformatics tools and data mining - Expert in QSAR/QSPR and ADME-Tox properties modeling - Deep knowledge of chemicals risk assessment - Excellent programming skills - Creative in developing and applying novel machine learning algorithms - Deep knowledge of molecular modeling and computer aided drug design - Excellent communication skills - Personal attributes: creativity, leadership, problem solving, integrity, work ethics and diplomacy.
Detalhes do contato
Marcadores
qsar toxcast estrogen receptor epa cerapp edsp environment data curation androgen receptor opera ncct_models toxicity gpcr ncct physprop toxicity assessment machine learning ai catmos compara prioritization endocrine disruptors comptox dashboard computation toxicology computational chemistry logp physchem properties organic pollutants reach biodegradability knime consensus modeling multivariate analysis toxref clustering toxicology nnct_model usepa episuite physchem
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CoMPARA: Collaborative Modeling Project for Androgen Receptor Activity

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The influence of data curation on QSAR Modeling – Presented at American Chemical Society, San Diego, CA, March 13 - 17, 2016.

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