GIST-CSBL / DeSIDE-DDI
☆13Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for DeSIDE-DDI
- The official code implementation for DREAMwalk in Python.☆16Updated last year
- ☆14Updated 2 months ago
- HoTS: Sequence-based prediction of binding regions and drug-target interactions.☆25Updated 2 years ago
- Learning with uncertainty for biological discovery and design☆33Updated last year
- The official code implementation for Chromoformer in PyTorch. (Lee et al., Nature Communications. 2022)☆34Updated last year
- Interpretation by Deep Generative Masking for Biological Sequences☆36Updated 2 years ago
- PyTorch implementation of bimodal neural networks for drug-cell (pharmarcogenomics) and drug-protein (proteochemometrics) interaction pre…☆48Updated 6 months ago
- Using Transformer protein embeddings with a linear attention mechanism to make SOTA de-novo predictions for the subcellular location of p…☆55Updated last year
- A deep learning framework for high-throughput mechanism-driven phenotype screening☆46Updated 3 years ago
- Method for constructing embeddings of GO terms.☆14Updated 2 years ago
- Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."☆71Updated 6 months ago
- Prediction of binding residues for metal ions, nucleic acids, and small molecules.☆31Updated 2 years ago
- ☆28Updated 3 weeks ago
- ☆13Updated 2 years ago
- Multi-Channel Deep Chemogenomic Modeling of Receptor-Ligand Binding Affinity Prediction for Drug Discovery☆27Updated 3 years ago
- Implementation of ReSimNet for drug response similarity prediction☆38Updated 11 months ago
- Contrastive learning harmonizing protein language models and natural language models☆24Updated 5 months ago
- Deep-learning empowered prediction and generation of immunogenic epitopes for T cell immunity☆63Updated last year
- STAPLER (Shared TCR And Peptide Language bidirectional Encoder Representations from transformers) is a language model that uses a joint T…☆25Updated 6 months ago
- ☆21Updated 3 weeks ago
- Machine learning models for antibody sequences in PyTorch☆38Updated 3 years ago
- Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.☆104Updated 3 months ago
- ☆16Updated 3 years ago
- This is the offical codebase to reproduce and use EVOLVEpro, a model for in silico directed evolution of protein activities using few-sho…☆22Updated last week
- comparing drug classification methods☆18Updated 4 years ago
- Prediction of B-cell epitopes from amino acid sequences using deep neural networks.☆15Updated 2 years ago
- ☆29Updated last year
- DeepGO with Fuzzy DL☆28Updated 2 years ago
- ☆12Updated 3 years ago
- ☆19Updated 8 months ago