Official repository for the Boltz biomolecular interaction models
- binding-prediction
- drug-discovery
- protein-structure
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Official repository for the Boltz biomolecular interaction models
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
Chai-1, SOTA model for biomolecular structure prediction
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
Sequential regulatory activity predictions with deep convolutional neural networks.
RNA-seq prediction with deep convolutional neural networks.
Bi-Directional Equivariant Long-Range DNA Sequence Modeling
OpenBioLink is a resource and evaluation framework for evaluating link prediction models on heterogeneous biomedical graph data.
TransformerCPI: Improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments(BIOINFORMATICS 2020) https://doi.org/10.1093/bioinformatics/btaa524
Interpretable bilinear attention network with domain adaptation improves drug-target prediction.
Accurate and efficient spot detection for microscopy data
Learning cell communication from spatial graphs of cells
code to run sei and obtain sei and sequence class predictions