Drug Virus Association (DVA)
The DVA model analyzes the associations between drugs and viruses, assessing the potential of existing drugs in antiviral treatment.
By studying the interactions between drugs and viruses, researchers can discover new antiviral applications, advancing the process of drug repositioning. |
The search result for the Model Prediction Types "Drug Virus Association (DVA)"
A total of 2 results found based on your keywords
| Recommendation |
ID |
Data Information |
Model Information |
Application Information |
Reference |
| Rank |
Total_Score |
Model_ID |
Dataset_Name |
Element_type |
Data_features |
Model_name |
Algorithm_name |
Prediction_type |
Code_source |
Study_types |
Disease_name |
Target_name |
Drug_name |
Interaction_type |
Recommended_Number |
PMID |
Journal |
Publication_Year |
| 1 |
64.9 |
1306 |
NA |
Drug, Virus |
Drug: chemical structure, Virus: d2* dissimilarity/distance (at k=6) between the viral genome sequences |
DVA (Drug Virus Association) |
Matrix Completion |
Drug Virus Association (DVA) |
www.github.com/AanchalMongia/DVA |
Case studies |
COVID-19 |
SARS-CoV-2 |
NA |
NA |
Top 6 drugs |
33907209 |
Sci Rep |
2021 |
| 2 |
49.5 |
1203 |
NA |
Drug, Virus |
NA |
IRNMF (Indicator Regularized non-negative Matrix Factorization) |
Non-negative Matrix Factorization (NMF) |
Drug Virus Association (DVA) |
https://github.com/dukebai/IRNMF |
NA |
NA |
NA |
NA |
NA |
NA |
33584672 |
Front Immunol |
2021 |
