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Sarita Limbu

Showing results (1-10 of 7) with videos related to

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International Journal of Molecular Sciences|November 26, 2022
A New Hybrid Neural Network Deep Learning Method for Protein-Ligand Binding Affinity Prediction and De Novo Drug DesignSarita Limbu, Sivanesan Dakshanamurthy
Toxics|July 28, 2023
Predicting Dose-Dependent Carcinogenicity of Chemical Mixtures Using a Novel Hybrid Neural Network Framework and Mathematical ApproachSarita Limbu, Sivanesan Dakshanamurthy
Sensors (Basel, Switzerland)|November 11, 2022
Predicting Chemical Carcinogens Using a Hybrid Neural Network Deep Learning MethodSarita Limbu, Sivanesan Dakshanamurthy
Toxics|November 24, 2022
Predicting Dose-Range Chemical Toxicity using Novel Hybrid Deep Machine-Learning MethodSarita Limbu, Cyril Zakka, Sivanesan Dakshanamurthy
Toxics|July 26, 2024
A Machine-Learning-Driven Pathophysiology-Based New Approach Method for the Dose-Dependent Assessment of Hazardous Chemical Mixtures and Experimental ValidationsSarita Limbu, Eric Glasgow, Tessa Block, et al.
Cells|June 2, 2021
X-ROS Signaling Depends on Length-Dependent Calcium Buffering by TroponinSarita Limbu, Benjamin L Prosser, William J Lederer, et al.
Biophysical Journal|November 21, 2015
Modeling Local X-ROS and Calcium Signaling in the HeartSarita Limbu, Tuan M Hoang-Trong, Benjamin L Prosser, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
International Journal of Molecular Sciences|November 26, 2022
A New Hybrid Neural Network Deep Learning Method for Protein-Ligand Binding Affinity Prediction and De Novo Drug DesignSarita Limbu, Sivanesan Dakshanamurthy
Toxics|July 28, 2023
Predicting Dose-Dependent Carcinogenicity of Chemical Mixtures Using a Novel Hybrid Neural Network Framework and Mathematical ApproachSarita Limbu, Sivanesan Dakshanamurthy
Sensors (Basel, Switzerland)|November 11, 2022
Predicting Chemical Carcinogens Using a Hybrid Neural Network Deep Learning MethodSarita Limbu, Sivanesan Dakshanamurthy
Toxics|November 24, 2022
Predicting Dose-Range Chemical Toxicity using Novel Hybrid Deep Machine-Learning MethodSarita Limbu, Cyril Zakka, Sivanesan Dakshanamurthy
Toxics|July 26, 2024
A Machine-Learning-Driven Pathophysiology-Based New Approach Method for the Dose-Dependent Assessment of Hazardous Chemical Mixtures and Experimental ValidationsSarita Limbu, Eric Glasgow, Tessa Block, et al.
Cells|June 2, 2021
X-ROS Signaling Depends on Length-Dependent Calcium Buffering by TroponinSarita Limbu, Benjamin L Prosser, William J Lederer, et al.
Biophysical Journal|November 21, 2015
Modeling Local X-ROS and Calcium Signaling in the HeartSarita Limbu, Tuan M Hoang-Trong, Benjamin L Prosser, et al.
Pageof 1