Search research articles
Contact Us
Filters
Showing results (1-10 of 18) with videos related to
Page
of 2
Sort By:
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 generalization
Romina Norouzi, Karim Abbasi, Parvin Razzaghi, et al.
Bioinformatics Advances
|
May 4, 2026
Multi-DDA: drug-disease association prediction using a hybrid graph convolutional network with multi-modal drug representations
Alireza Dehghan, Karim Abbasi, Mohammad Rasoul Kazemi Najaf Abadi
Bioinformatics Advances
|
May 22, 2026
CDCR-Rank: a computational model for predicting drug combination dose response using ranking-based optimization
Mohammadamin Moragheb, Karim Abbasi, 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 detection
Rambod Norouzi, Romina Norouzi, Karim Abbasi, et al.
BMC Bioinformatics
|
April 21, 2021
AutoDTI++: deep unsupervised learning for DTI prediction by autoencoders
Seyedeh Zahra Sajadi, Mohammad Ali Zare Chahooki, Sajjad Gharaghani, et al.
Journal of Chemical Information and Modeling
|
October 31, 2019
Deep Transferable Compound Representation across Domains and Tasks for Low Data Drug Discovery
Karim Abbasi, Antti Poso, Jahanbakhsh Ghasemi, et al.
Plos One
|
July 26, 2024
DeepDRA: Drug repurposing using multi-omics data integration with autoencoders
Taha Mohammadzadeh-Vardin, Amin Ghareyazi, Ali Gharizadeh, et al.
Current Medicinal Chemistry
|
September 8, 2020
Deep Learning in Drug Target Interaction Prediction: Current and Future Perspectives
Karim 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 networks
Farnaz Palhamkhani, Milad Alipour, Abbas Dehnad, et al.
Bioinformatics (Oxford, England)
|
June 24, 2024
HGTDR: Advancing drug repurposing with heterogeneous graph transformers
Ali Gharizadeh, Karim Abbasi, Amin Ghareyazi, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 18) with videos related to
Sort By:
Page
of 2
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 generalization
Romina Norouzi, Karim Abbasi, Parvin Razzaghi, et al.
Bioinformatics Advances
|
May 4, 2026
Multi-DDA: drug-disease association prediction using a hybrid graph convolutional network with multi-modal drug representations
Alireza Dehghan, Karim Abbasi, Mohammad Rasoul Kazemi Najaf Abadi
Bioinformatics Advances
|
May 22, 2026
CDCR-Rank: a computational model for predicting drug combination dose response using ranking-based optimization
Mohammadamin Moragheb, Karim Abbasi, 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 detection
Rambod Norouzi, Romina Norouzi, Karim Abbasi, et al.
BMC Bioinformatics
|
April 21, 2021
AutoDTI++: deep unsupervised learning for DTI prediction by autoencoders
Seyedeh Zahra Sajadi, Mohammad Ali Zare Chahooki, Sajjad Gharaghani, et al.
Journal of Chemical Information and Modeling
|
October 31, 2019
Deep Transferable Compound Representation across Domains and Tasks for Low Data Drug Discovery
Karim Abbasi, Antti Poso, Jahanbakhsh Ghasemi, et al.
Plos One
|
July 26, 2024
DeepDRA: Drug repurposing using multi-omics data integration with autoencoders
Taha Mohammadzadeh-Vardin, Amin Ghareyazi, Ali Gharizadeh, et al.
Current Medicinal Chemistry
|
September 8, 2020
Deep Learning in Drug Target Interaction Prediction: Current and Future Perspectives
Karim 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 networks
Farnaz Palhamkhani, Milad Alipour, Abbas Dehnad, et al.
Bioinformatics (Oxford, England)
|
June 24, 2024
HGTDR: Advancing drug repurposing with heterogeneous graph transformers
Ali Gharizadeh, Karim Abbasi, Amin Ghareyazi, et al.
Page
of 2