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Daniel P Russo

Showing results (31-40 of 44) with videos related to

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Environmental Science & Technology|April 11, 2023
Data-Driven Quantitative Structure-Activity Relationship Modeling for Human Carcinogenicity by Chronic Oral ExposureElena Chung, Daniel P Russo, Heather L Ciallella, et al.
Environmental Science & Technology|April 22, 2022
Predicting Prenatal Developmental Toxicity Based On the Combination of Chemical Structures and Biological DataHeather L Ciallella, Daniel P Russo, Swati Sharma, et al.
Environmental Health Perspectives|April 2, 2019
Nonanimal Models for Acute Toxicity Evaluations: Applying Data-Driven Profiling and Read-AcrossDaniel P Russo, Judy Strickland, Agnes L Karmaus, et al.
ACS Combinatorial Science|April 16, 2016
Discovery of Novel Tricyclic Thiazepine Derivatives as Anti-Drug-Resistant Cancer Agents by Combining Diversity-Oriented Synthesis and Converging Screening ApproachJinbao Xiang, Zhuoqi Zhang, Yan Mu, et al.
Journal of Cheminformatics|January 20, 2019
Universal nanohydrophobicity predictions using virtual nanoparticle libraryWenyi Wang, Xiliang Yan, Linlin Zhao, et al.
Nature Materials|April 20, 2019
Exploiting machine learning for end-to-end drug discovery and developmentSean Ekins, Ana C Puhl, Kimberley M Zorn, et al.
Molecular Pharmaceutics|April 20, 2018
Comparing and Validating Machine Learning Models for Mycobacterium tuberculosis Drug DiscoveryThomas Lane, Daniel P Russo, Kimberley M Zorn, et al.
Molecular Pharmaceutics|June 17, 2021
Correction to "Comparing and Validating Machine Learning Models for <i>Mycobacterium tuberculosis</i> Drug Discovery"Thomas Lane, Daniel P Russo, Kimberley M Zorn, et al.
Environmental Science & Technology|August 29, 2020
Machine Learning Models for Estrogen Receptor Bioactivity and Endocrine Disruption PredictionKimberley M Zorn, Daniel H Foil, Thomas R Lane, et al.
Computational Toxicology (Amsterdam, Netherlands)|June 20, 2022
<i>In silico</i> approaches in organ toxicity hazard assessment: Current status and future needs for predicting heart, kidney and lung toxicitiesArianna Bassan, Vinicius M Alves, Alexander Amberg, et al.
Pageof 5

Showing results (31-40 of 44) with videos related to

Sort By:
Pageof 5
Environmental Science & Technology|April 11, 2023
Data-Driven Quantitative Structure-Activity Relationship Modeling for Human Carcinogenicity by Chronic Oral ExposureElena Chung, Daniel P Russo, Heather L Ciallella, et al.
Environmental Science & Technology|April 22, 2022
Predicting Prenatal Developmental Toxicity Based On the Combination of Chemical Structures and Biological DataHeather L Ciallella, Daniel P Russo, Swati Sharma, et al.
Environmental Health Perspectives|April 2, 2019
Nonanimal Models for Acute Toxicity Evaluations: Applying Data-Driven Profiling and Read-AcrossDaniel P Russo, Judy Strickland, Agnes L Karmaus, et al.
ACS Combinatorial Science|April 16, 2016
Discovery of Novel Tricyclic Thiazepine Derivatives as Anti-Drug-Resistant Cancer Agents by Combining Diversity-Oriented Synthesis and Converging Screening ApproachJinbao Xiang, Zhuoqi Zhang, Yan Mu, et al.
Journal of Cheminformatics|January 20, 2019
Universal nanohydrophobicity predictions using virtual nanoparticle libraryWenyi Wang, Xiliang Yan, Linlin Zhao, et al.
Nature Materials|April 20, 2019
Exploiting machine learning for end-to-end drug discovery and developmentSean Ekins, Ana C Puhl, Kimberley M Zorn, et al.
Molecular Pharmaceutics|April 20, 2018
Comparing and Validating Machine Learning Models for Mycobacterium tuberculosis Drug DiscoveryThomas Lane, Daniel P Russo, Kimberley M Zorn, et al.
Molecular Pharmaceutics|June 17, 2021
Correction to "Comparing and Validating Machine Learning Models for <i>Mycobacterium tuberculosis</i> Drug Discovery"Thomas Lane, Daniel P Russo, Kimberley M Zorn, et al.
Environmental Science & Technology|August 29, 2020
Machine Learning Models for Estrogen Receptor Bioactivity and Endocrine Disruption PredictionKimberley M Zorn, Daniel H Foil, Thomas R Lane, et al.
Computational Toxicology (Amsterdam, Netherlands)|June 20, 2022
<i>In silico</i> approaches in organ toxicity hazard assessment: Current status and future needs for predicting heart, kidney and lung toxicitiesArianna Bassan, Vinicius M Alves, Alexander Amberg, et al.
Pageof 5