HUBioDataLab / ProtBENCH
☆12Updated 11 months ago
Alternatives and similar repositories for ProtBENCH
Users that are interested in ProtBENCH are comparing it to the libraries listed below
Sorting:
- a method for CPI and DTA prediction☆11Updated 2 years ago
- Effective drug-target interaction prediction with mutual interaction neural network☆32Updated 3 years ago
- Autoregressive fragment-based diffusion for target-aware ligand design☆29Updated 11 months ago
- HoTS: Sequence-based prediction of binding regions and drug-target interactions.☆26Updated 2 years ago
- ☆14Updated 2 years ago
- [Bioinformatics 2022] Cross-Modality and Self-Supervised Protein Embedding for Compound-Protein Affinity and Contact Prediction☆15Updated 11 months ago
- Drug-Target Interactive Prediction Model using ChemBERTa and ProtBert☆13Updated 6 months ago
- A unified framework for predicting drug-target interactions, binding affinities and activation/inhibition mechanisms.☆39Updated 3 months ago
- ☆33Updated last month
- DTITR: End-to-End Drug-Target Binding Affinity Prediction with Transformers☆13Updated last year
- A bi-directional attention neural network for compound–protein interaction and binding affinity prediction.☆30Updated 2 years ago
- Comprehensive cardiotoxicity prediction tool of small molecules on three targets: hERG, Nav1.5, Cav1.2☆19Updated 7 months ago
- ☆48Updated last year
- Revised breaking of retrosynthetically interesting chemical substructures (r-BRICS) – a revised BRICS module based on rdKit that breaks r…☆9Updated 2 months ago
- Bioinformatics'2022 PerceiverCPI: A nested cross-attention network for compound-protein interaction prediction☆35Updated last year
- Source code and data of the paper entitled "iCYP-MFE: Identifying Human Cytochrome P450 Inhibitors using Multi-task Learning and Molecula…☆17Updated last year
- A deep learning framework for predicting interactions between protein-protein interaction targets and modulators☆14Updated last year
- Multi-modal co-attention for drug-target interaction annotation and Its Application to SARS-CoV-2☆17Updated 2 years ago
- Deep Neural Virtual Screening (DENVIS)☆14Updated 2 years ago
- MolKGNN is a deep learning model for predicting biological activity or molecular properties. It features in 1. SE(3)-invariance 2. confor…☆19Updated last year
- Kinase–drug binding prediction with calibrated uncertainty quantification☆23Updated last year
- ☆15Updated 3 years ago
- ☆32Updated last year
- Drug-target binding affinity prediction using representation learning, graph mining, and machine learning☆24Updated 3 years ago
- ☆33Updated 6 months ago
- DeepCDA☆14Updated 5 years ago
- Optimization of binding affinities in chemical space for drug discovery☆36Updated 2 years ago
- Fragment-based Molecular Expansion☆20Updated last year
- Contrastive learning and pre-trained encoder (CLAPE) for protein-small molecules binding (SMB) sites prediction☆13Updated 8 months ago
- ☆22Updated 8 months ago