Pages that link to "Q38597446"

The following pages link to Identification of drug candidates and repurposing opportunities through compound-target interaction networks (Q38597446):

Displaying 27 items.

• Targeting Stromal-Cancer Cell Crosstalk Networks in Ovarian Cancer Treatment (Q26769963) (← links)
• Molecular mechanisms involved in the side effects of fatty acid amide hydrolase inhibitors: a structural phenomics approach to proteome-wide cellular off-target deconvolution and disease association. (Q33917845) (← links)
• Drug combinatorics and side effect estimation on the signed human drug-target network (Q36104367) (← links)
• Macromolecular target prediction by self-organizing feature maps (Q36229691) (← links)
• The Rescue and Repurposing of Pharmaceuticals: Augmenting the Drug Development Paradigm (Q36652806) (← links)
• A machine-learned computational functional genomics-based approach to drug classification (Q38442252) (← links)
• Computational-experimental approach to drug-target interaction mapping: A case study on kinase inhibitors. (Q38634659) (← links)
• Drug response prediction by inferring pathway-response associations with kernelized Bayesian matrix factorization (Q38748583) (← links)
• Transcriptional response networks for elucidating mechanisms of action of multitargeted agents (Q38775750) (← links)
• Design of efficient computational workflows for in silico drug repurposing. (Q38969907) (← links)
• Systematic identification of feature combinations for predicting drug response with Bayesian multi-view multi-task linear regression (Q42697214) (← links)
• DDR: Efficient computational method to predict drug-target interactions using graph mining and machine learning approaches. (Q45943458) (← links)
• Improving the efficacy-safety balance of polypharmacology in multi-target drug discovery (Q47323180) (← links)
• Inventing new therapies without reinventing the wheel: the power of drug repurposing (Q50125592) (← links)
• Big Data in Drug Discovery. (Q52572586) (← links)
• Learning with multiple pairwise kernels for drug bioactivity prediction. (Q55514107) (← links)
• Review and comparative assessment of similarity-based methods for prediction of drug–protein interactions in the druggable human proteome (Q56992819) (← links)
• Survey of Similarity-based Prediction of Drug-protein Interactions (Q58079602) (← links)
• Drug Repurposing Approaches for the Treatment of Influenza Viral Infection: Reviving Old Drugs to Fight Against a Long-Lived Enemy (Q63246314) (← links)
• Autoencoder Based Feature Selection Method for Classification of Anticancer Drug Response (Q64111498) (← links)
• Web-based tools for drug repurposing: successful examples of collaborative research (Q89464402) (← links)
• A Multi-Label Learning Framework for Drug Repurposing (Q90040651) (← links)
• Dual-Layer Strengthened Collaborative Topic Regression Modeling for Predicting Drug Sensitivity (Q90939393) (← links)
• Machine learning approaches and databases for prediction of drug-target interaction: a survey paper (Q92724567) (← links)
• Prediction of drug-target interactions based on network representation learning and ensemble learning (Q93266820) (← links)
• Graph convolutional autoencoder and generative adversarial network-based method for predicting drug-target interactions (Q98200710) (← links)
• The Natural Compound Oblongifolin C Exhibits Anticancer Activity by Inhibiting HSPA8 and Cathepsin B <i>In Vitro</i> (Q104735374) (← links)