Kamel Mansouri

8 Abonné

- 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.

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

il y a 7 ans • 507 Vues

In-silico structure activity relationship study of toxicity endpoints by QSAR modeling. Presented at SOT 2014, Phoenix, AZ, March 23 - 27, 2014.

il y a 7 ans • 193 Vues

An examination of data quality on QSAR Modeling in regards to the environmental sciences. Presented at UNC-CH Talk, Chapel Hill, NC, April 12, 2016.

il y a 7 ans • 252 Vues

CERAPP - Collaborative Estrogen Receptor Activity Prediction Project. Computational Toxicology Communities of Practice

il y a 7 ans • 187 Vues

EDSP Prioritization: Collaborative Estrogen Receptor Activity Prediction Project (CERAPP). Presented at SOT 2015, San Diego, CA, March 22 - 26, 2015.

il y a 7 ans • 111 Vues

The importance of data curation on QSAR Modeling: PHYSPROP open data as a case study. Presented at QSAR2016 Miami, FL 13-17, 2016

il y a 7 ans • 499 Vues

In-silico study of ToxCast GPCR assays by quantitative structure-activity relationships (QSARs) modeling. Presented at ACS 2014 11 August 2014, San Francisco, USA 2014

il y a 7 ans • 376 Vues

Scoring and ranking of metabolic trees to computationally prioritize chemicals for testing using fit-for-purpose in vitro estrogen receptor assay. OpenTox USA 2017

il y a 6 ans • 255 Vues

Virtual screening of chemicals for endocrine disrupting activity through CERAPP and CoMPARA projects. SOT 2018 (San Antonio)

il y a 6 ans • 104 Vues

Chemical prioritization using in silico modeling. SOT 2018 (San Antonio, USA)

il y a 6 ans • 53 Vues

Virtual screening of chemicals for endocrine disrupting activity: Case studies of the estrogen and androgen receptors. ACS 2018 (New Orleans, USA)

il y a 6 ans • 145 Vues

OPERA: A free and open source QSAR tool for predicting physicochemical properties and environmental fate endpoints. ACS 2018 (New Orleans, USA)

il y a 6 ans • 393 Vues

Automated workflows for data curation and standardization of chemical structures for QSAR modeling. ACS 2018 (New Orleans, USA)

il y a 6 ans • 252 Vues

International Computational Collaborations to Solve Toxicology Problems

il y a 5 ans • 166 Vues

OPERA, AN OPEN SOURCE AND OPEN DATA SUITE OF QSAR MODELS

il y a 2 ans • 189 Vues

QSAR STUDY ON READY BIODEGRADABILITY OF CHEMICALS. Presented at the 3rd Chemoinformatics Summer School. Strasbourg, France 25 – 29 June 2012. And ESOF EuroScience Open Forum, Dublin, Ireland 11-15 July 2012

il y a 7 ans • 214 Vues

The influence of data curation on QSAR Modeling – examining issues of quality versus quantity of data

US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure • il y a 8 ans