Kamel Mansouri

8 Followers

- 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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Aktuellste Beliebteste SlideShares

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

Vor 2 Jahren • 189 Aufrufe

International Computational Collaborations to Solve Toxicology Problems

Vor 5 Jahren • 168 Aufrufe

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

Vor 6 Jahren • 252 Aufrufe

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

Vor 6 Jahren • 395 Aufrufe

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

Vor 6 Jahren • 145 Aufrufe

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

Vor 6 Jahren • 53 Aufrufe

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

Vor 6 Jahren • 104 Aufrufe

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

Vor 6 Jahren • 255 Aufrufe

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

Vor 7 Jahren • 376 Aufrufe

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

Vor 7 Jahren • 499 Aufrufe

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

Vor 7 Jahren • 111 Aufrufe

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

Vor 7 Jahren • 187 Aufrufe

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.

Vor 7 Jahren • 253 Aufrufe

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

Vor 7 Jahren • 194 Aufrufe

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

Vor 7 Jahren • 507 Aufrufe