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Found 6 papers, 3 papers with code
PGraphDTA: Improving Drug Target Interaction Prediction using Protein Language Models and Contact Maps
Through extensive experimentation, we demonstrate that our proposed approaches outperform the baseline models considered in this study, presenting a compelling case for further development in this direction.
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Know2BIO: A Comprehensive Dual-View Benchmark for Evolving Biomedical Knowledge Graphs
Knowledge graphs (KGs) have emerged as a powerful framework for representing and integrating complex biomedical information.
Large Language Models Can Be Good Privacy Protection Learners
To address this challenge, we introduce Privacy Protection Language Models (PPLM), a novel paradigm for fine-tuning LLMs that effectively injects domain-specific knowledge while safeguarding data privacy.
SPLDExtraTrees: Robust machine learning approach for predicting kinase inhibitor resistance
Drug resistance is a major threat to the global health and a significant concern throughout the clinical treatment of diseases and drug development.
A Deep Learning Inference Scheme Based on Pipelined Matrix Multiplication Acceleration Design and Non-uniform Quantization
Matrix multiplication is the bedrock in Deep Learning inference application.
Modeling Protein Using Large-scale Pretrain Language Model
The emergence of deep learning models makes modeling data patterns in large quantities of data possible.
