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Parvin Razzaghi

Showing results (1-10 of 12) with videos related to

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Scientific Reports|February 28, 2025
Integrating convolutional layers and biformer network with forward-forward and backpropagation trainingAli Kianfar, Parvin Razzaghi, Zahra Asgari
Briefings in Bioinformatics|May 11, 2026
MT-ConBiFormer-GPT: multi-target molecular generation for low-data drug discovery via a contrastive BiFormer-GPT architecture and curriculum learning with cross-domain generalizationRomina Norouzi, Karim Abbasi, Parvin Razzaghi, et al.
Plos One|May 8, 2026
DeepDRP: Dose-response predictions of drug pairs using deep learning based on data-driven feature representation and dose-response curve characteristicsMohammadamin Moragheb, Alireza Dehghan, Parvin Razzaghi, et al.
Computers in Biology and Medicine|June 4, 2025
DFT_ANPD: A dual-feature two-sided attention network for anticancer natural products detectionRambod Norouzi, Romina Norouzi, Karim Abbasi, et al.
Molecular Diversity|April 19, 2022
Proteochemometrics modeling for prediction of the interactions between caspase isoforms and their inhibitorsZahra Bastami, Razieh Sheikhpour, Parvin Razzaghi, et al.
Bioinformatics Advances|May 22, 2026
CDCR-Rank: a computational model for predicting drug combination dose response using ranking-based optimizationMohammadamin Moragheb, Karim Abbasi, Parvin Razzaghi, et al.
Current Medicinal Chemistry|September 8, 2020
Deep Learning in Drug Target Interaction Prediction: Current and Future PerspectivesKarim Abbasi, Parvin Razzaghi, Antti Poso, et al.
Journal of Biomolecular Structure & Dynamics|December 12, 2023
DeepCompoundNet: enhancing compound-protein interaction prediction with multimodal convolutional neural networksFarnaz Palhamkhani, Milad Alipour, Abbas Dehnad, et al.
Bioinformatics (Oxford, England)|May 29, 2020
DeepCDA: deep cross-domain compound-protein affinity prediction through LSTM and convolutional neural networksKarim Abbasi, Parvin Razzaghi, Antti Poso, et al.
Journal of Chemical Information and Modeling|March 22, 2024
CFSSynergy: Combining Feature-Based and Similarity-Based Methods for Drug Synergy PredictionFatemeh Rafiei, Hojjat Zeraati, Karim Abbasi, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Scientific Reports|February 28, 2025
Integrating convolutional layers and biformer network with forward-forward and backpropagation trainingAli Kianfar, Parvin Razzaghi, Zahra Asgari
Briefings in Bioinformatics|May 11, 2026
MT-ConBiFormer-GPT: multi-target molecular generation for low-data drug discovery via a contrastive BiFormer-GPT architecture and curriculum learning with cross-domain generalizationRomina Norouzi, Karim Abbasi, Parvin Razzaghi, et al.
Plos One|May 8, 2026
DeepDRP: Dose-response predictions of drug pairs using deep learning based on data-driven feature representation and dose-response curve characteristicsMohammadamin Moragheb, Alireza Dehghan, Parvin Razzaghi, et al.
Computers in Biology and Medicine|June 4, 2025
DFT_ANPD: A dual-feature two-sided attention network for anticancer natural products detectionRambod Norouzi, Romina Norouzi, Karim Abbasi, et al.
Molecular Diversity|April 19, 2022
Proteochemometrics modeling for prediction of the interactions between caspase isoforms and their inhibitorsZahra Bastami, Razieh Sheikhpour, Parvin Razzaghi, et al.
Bioinformatics Advances|May 22, 2026
CDCR-Rank: a computational model for predicting drug combination dose response using ranking-based optimizationMohammadamin Moragheb, Karim Abbasi, Parvin Razzaghi, et al.
Current Medicinal Chemistry|September 8, 2020
Deep Learning in Drug Target Interaction Prediction: Current and Future PerspectivesKarim Abbasi, Parvin Razzaghi, Antti Poso, et al.
Journal of Biomolecular Structure & Dynamics|December 12, 2023
DeepCompoundNet: enhancing compound-protein interaction prediction with multimodal convolutional neural networksFarnaz Palhamkhani, Milad Alipour, Abbas Dehnad, et al.
Bioinformatics (Oxford, England)|May 29, 2020
DeepCDA: deep cross-domain compound-protein affinity prediction through LSTM and convolutional neural networksKarim Abbasi, Parvin Razzaghi, Antti Poso, et al.
Journal of Chemical Information and Modeling|March 22, 2024
CFSSynergy: Combining Feature-Based and Similarity-Based Methods for Drug Synergy PredictionFatemeh Rafiei, Hojjat Zeraati, Karim Abbasi, et al.
Pageof 2