The search result for the key word "BIOSNAP"
A total of 3 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 | 76.5 | 1776 | BIOSNAP | Drug, Target | Drug: SMILES, Target: the amino acid sequences | DeepFusion | Graph Convolutional Network (GCN),Transformer | Drug Target Interaction (DTI) | NA | Case studies | NA | NA | NA | Drug target interaction | Top 14 predictions | 35219861 | Methods | 2022 |
| 2 | 60.0875 | 2176 | BIOSNAP | Drug, Target | Target: 20D Vector, Drug: SMILES | geNnius (Graph Embedding Neural Network Interaction Uncovering System) | Graph Neural Network (GNN) | Drug Target Interaction (DTI) | https://github.com/ubioinformat/GeNNius | NA | NA | NA | NA | NA | NA | 38134424 | Bioinformatics | 2024 |
| 3 | 49 | 1834 | BIOSNAP | Drug, Target | Drug: SMILES, Target: the amino acid sequences | ICAN (Interpretable Cross-Attention Network) | Convolutional Neural Network (CNN) | Drug Target Interaction (DTI) | https://github.com/kuratahiroyuki/ICAN | NA | NA | NA | NA | NA | NA | 36279284 | PLoS One | 2022 |
