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Kamel Mansouri
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2020 – today
- 2024
- [j12]Kamel Mansouri, José T. Moreira-Filho, Charles N. Lowe, Nathaniel Charest, Todd Martin, Valery Tkachenko, Richard S. Judson, Mike Conway, Nicole C. Kleinstreuer, Antony J. Williams:
Free and open-source QSAR-ready workflow for automated standardization of chemical structures in support of QSAR modeling. J. Cheminformatics 16(1): 19 (2024) - [j11]José T. Moreira-Filho, Dhruv Ranganath, Mike Conway, Charles Schmitt, Nicole C. Kleinstreuer, Kamel Mansouri:
Democratizing cheminformatics: interpretable chemical grouping using an automated KNIME workflow. J. Cheminformatics 16(1): 101 (2024) - 2020
- [j10]Alexandre Borrel, Kamel Mansouri, Sue Nolte, Trey Saddler, Mike Conway, Charles Schmitt, Nicole C. Kleinstreuer:
InterPred: a webtool to predict chemical autofluorescence and luminescence interference. Nucleic Acids Res. 48(Webserver-Issue): W586-W590 (2020)
2010 – 2019
- 2019
- [b1]Kamel Mansouri:
Dynamic semantic-based green bio-inspired approach for optimizing energy and cloud services qualities. (Dynamic semantic-based green bio-inspired approach for optimizing energy and cloud services qualities). Setif 1 University, Algeria, 2019 - [j9]Domenico Gadaleta, Kristijan Vukovic, Cosimo Toma, Giovanna J. Lavado, Agnes L. Karmaus, Kamel Mansouri, Nicole C. Kleinstreuer, Emilio Benfenati, Alessandra Roncaglioni:
SAR and QSAR modeling of a large collection of LD50 rat acute oral toxicity data. J. Cheminformatics 11(1): 58:1-58:16 (2019) - [j8]Kamel Mansouri, Neal F. Cariello, Alexandru Korotcov, Valery Tkachenko, Christopher M. Grulke, Catherine S. Sprankle, David G. Allen, Warren M. Casey, Nicole C. Kleinstreuer, Antony J. Williams:
Open-source QSAR models for pKa prediction using multiple machine learning approaches. J. Cheminformatics 11(1): 60:1-60:20 (2019) - 2018
- [j7]Kamel Mansouri, Adel Alti, Philippe Roose, Sébastien Laborie:
Dynamic semantic-based green bio-inspired approach for optimizing energy and cloud services qualities. Trans. Emerg. Telecommun. Technol. 29(5) (2018) - [j6]Kamel Mansouri, Christopher M. Grulke, Richard S. Judson, Antony J. Williams:
OPERA models for predicting physicochemical properties and environmental fate endpoints. J. Cheminformatics 10(1): 10:1-10:19 (2018) - [j5]Andrew D. McEachran, Kamel Mansouri, Christopher M. Grulke, Emma Schymanski, Christoph Ruttkies, Antony J. Williams:
"MS-Ready" structures for non-targeted high-resolution mass spectrometry screening studies. J. Cheminformatics 10(1): 45:1-45:16 (2018) - 2017
- [j4]Antony J. Williams, Christopher M. Grulke, Jeff Edwards, Andrew D. McEachran, Kamel Mansouri, Nancy C. Baker, Grace Patlewicz, Imran Shah, John Wambaugh, Richard S. Judson, Ann M. Richard:
The CompTox Chemistry Dashboard: a community data resource for environmental chemistry. J. Cheminformatics 9(1): 61:1-61:27 (2017) - [j3]Qingda Zang, Kamel Mansouri, Antony J. Williams, Richard S. Judson, David G. Allen, Warren M. Casey, Nicole C. Kleinstreuer:
In Silico Prediction of Physicochemical Properties of Environmental Chemicals Using Molecular Fingerprints and Machine Learning. J. Chem. Inf. Model. 57(1): 36-49 (2017) - [j2]Daniela Trisciuzzi, Domenico Alberga, Kamel Mansouri, Richard S. Judson, Ettore Novellino, Giuseppe Felice Mangiatordi, Orazio Nicolotti:
Predictive Structure-Based Toxicology Approaches To Assess the Androgenic Potential of Chemicals. J. Chem. Inf. Model. 57(11): 2874-2884 (2017) - 2013
- [j1]Kamel Mansouri, Tine Ringsted, Davide Ballabio, Roberto Todeschini, Viviana Consonni:
Quantitative Structure-Activity Relationship Models for Ready Biodegradability of Chemicals. J. Chem. Inf. Model. 53(4): 867-878 (2013) - [d1]Kamel Mansouri, Tine Ringsted, Davide Ballabio, Roberto Todeschini, Viviana Consonni:
QSAR biodegradation. UCI Machine Learning Repository, 2013
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