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ACS Sustainable Chemistry & Engineering
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July 9, 2021
Construction of a Virtual Opioid Bioprofile: A Data-Driven QSAR Modeling Study to Identify New Analgesic Opioids
Xuelian Jia, Heather L Ciallella, Daniel P Russo, et al.
Nano Letters
|
August 9, 2024
An Online Nanoinformatics Platform Empowering Computational Modeling of Nanomaterials by Nanostructure Annotations and Machine Learning Toolkits
Tong Wang, Daniel P Russo, Philip Demokritou, et al.
Journal of Pharmacological and Toxicological Methods
|
July 6, 2021
Aggregation and analysis of secondary pharmacology data from investigational new drug submissions at the US Food and Drug Administration
Andrew Dodson, Kevin Mi, Daniel P Russo, et al.
Journal of Agricultural and Food Chemistry
|
September 11, 2020
Predictive Modeling of Angiotensin I-Converting Enzyme Inhibitory Peptides Using Various Machine Learning Approaches
Yu-Tang Wang, Daniel P Russo, Chang Liu, et al.
Carbon
|
February 27, 2023
Integrating structure annotation and machine learning approaches to develop graphene toxicity models
Tong Wang, Daniel P Russo, Dimitrios Bitounis, et al.
Biorxiv : the Preprint Server for Biology
|
March 23, 2026
ToxiVerse: A Public Platform for Chemical Toxicity Data Sharing and Customizable Predictive Modeling
Prasannavenkatesh Durai, Daniel P Russo, Yitao Shen, et al.
Molecular Pharmaceutics
|
February 20, 2019
Multiple Machine Learning Comparisons of HIV Cell-based and Reverse Transcriptase Data Sets
Kimberley M Zorn, Thomas R Lane, Daniel P Russo, et al.
Genetics
|
September 16, 2017
The Role of Blm Helicase in Homologous Recombination, Gene Conversion Tract Length, and Recombination Between Diverged Sequences in <i>Drosophila</i><i>melanogaster</i>
Henry A Ertl, Daniel P Russo, Noori Srivastava, et al.
ACS Nano
|
November 18, 2017
Predicting Nano-Bio Interactions by Integrating Nanoparticle Libraries and Quantitative Nanostructure Activity Relationship Modeling
Wenyi Wang, Alexander Sedykh, Hainan Sun, et al.
Bioinformatics (Oxford, England)
|
February 8, 2017
CIIPro: a new read-across portal to fill data gaps using public large-scale chemical and biological data
Daniel P Russo, Marlene T Kim, Wenyi Wang, et al.
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of 5
Search research articles
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Showing results (21-30 of 44) with videos related to
Sort By:
Page
of 5
ACS Sustainable Chemistry & Engineering
|
July 9, 2021
Construction of a Virtual Opioid Bioprofile: A Data-Driven QSAR Modeling Study to Identify New Analgesic Opioids
Xuelian Jia, Heather L Ciallella, Daniel P Russo, et al.
Nano Letters
|
August 9, 2024
An Online Nanoinformatics Platform Empowering Computational Modeling of Nanomaterials by Nanostructure Annotations and Machine Learning Toolkits
Tong Wang, Daniel P Russo, Philip Demokritou, et al.
Journal of Pharmacological and Toxicological Methods
|
July 6, 2021
Aggregation and analysis of secondary pharmacology data from investigational new drug submissions at the US Food and Drug Administration
Andrew Dodson, Kevin Mi, Daniel P Russo, et al.
Journal of Agricultural and Food Chemistry
|
September 11, 2020
Predictive Modeling of Angiotensin I-Converting Enzyme Inhibitory Peptides Using Various Machine Learning Approaches
Yu-Tang Wang, Daniel P Russo, Chang Liu, et al.
Carbon
|
February 27, 2023
Integrating structure annotation and machine learning approaches to develop graphene toxicity models
Tong Wang, Daniel P Russo, Dimitrios Bitounis, et al.
Biorxiv : the Preprint Server for Biology
|
March 23, 2026
ToxiVerse: A Public Platform for Chemical Toxicity Data Sharing and Customizable Predictive Modeling
Prasannavenkatesh Durai, Daniel P Russo, Yitao Shen, et al.
Molecular Pharmaceutics
|
February 20, 2019
Multiple Machine Learning Comparisons of HIV Cell-based and Reverse Transcriptase Data Sets
Kimberley M Zorn, Thomas R Lane, Daniel P Russo, et al.
Genetics
|
September 16, 2017
The Role of Blm Helicase in Homologous Recombination, Gene Conversion Tract Length, and Recombination Between Diverged Sequences in <i>Drosophila</i><i>melanogaster</i>
Henry A Ertl, Daniel P Russo, Noori Srivastava, et al.
ACS Nano
|
November 18, 2017
Predicting Nano-Bio Interactions by Integrating Nanoparticle Libraries and Quantitative Nanostructure Activity Relationship Modeling
Wenyi Wang, Alexander Sedykh, Hainan Sun, et al.
Bioinformatics (Oxford, England)
|
February 8, 2017
CIIPro: a new read-across portal to fill data gaps using public large-scale chemical and biological data
Daniel P Russo, Marlene T Kim, Wenyi Wang, et al.
Page
of 5