drutai
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Details for drutai
Package name
- drutai
License
- MIT
Last updated
- 6 July 2026 - latest/stable
- 6 July 2026 - latest/beta
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Drug-Target Interaction Prediction using ONNX models
Drutai is a deep learning–based framework for predicting interactions between small molecule drugs and protein targets. And this is a high-performance drug-target interaction prediction tool using ONNX models, with easier installation, higher performance as well as less dependency requirements . It supports multiple deep learning architectures including LSTMCNN, CNN, ConvMixer64, DSConv, MobileNetV2, ResNet18, and SEResNet.
Usage (single-table mode, recommended):
drutai.predict -m lstmcnn
-i input.tsv
-t fasta_dir/
-o output.drutai
Usage (legacy mode, compatible with original drutai format):
drutai.predict -m lstmcnn
--br relations.txt
--smile smiles.txt
-t fasta_dir/
-o output.drutai
Arguments: -m MODEL Model name (default and recommended: lstmcnn) -i INPUT Single-table TSV input (columns: sm, target, smile) --br FILE [Legacy] Drug-protein relation file (columns: sm, target) --smile FILE [Legacy] Drug SMILES file (columns: sm, smile) -t FASTA_DIR Directory containing per-target .fasta files -o OUTPUT Output file (default: predictions_onnx.drutai) -j THREADS Number of threads for feature extraction (default: all CPUs)
Available models: lstmcnn, cnn, convmixer64, dsconv, mobilenetv2, resnet_prea18_tf2, scaresnet
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