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Found 3 papers, 1 papers with code
Evaluation of large language models for discovery of gene set function
Gene set analysis is a mainstay of functional genomics, but it relies on curated databases of gene functions that are incomplete.
Infusing Linguistic Knowledge of SMILES into Chemical Language Models
As a result, our representation model outperformed previous compound representations for the prediction of molecular properties.
DeepConv-DTI: Prediction of drug-target interactions via deep learning with convolution on protein sequences
In conclusion, our prediction model for detecting local residue patterns of target proteins successfully enriches the protein features of a raw protein sequence, yielding better prediction results than previous approaches.
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