KT-AMP: Enhancing Antimicrobial Peptide Functions Prediction Through Knowledge Transfer on Protein Language Model
X Liang, H Zhao, J Wang - International Symposium on Bioinformatics …, 2024 - Springer
As the overuse of antibiotics enhances the resistance of various microbial pathogens to
antibiotics, antimicrobial peptides (AMPs) have the potential to become a favorable …
antibiotics, antimicrobial peptides (AMPs) have the potential to become a favorable …
A knowledge graph-based method for drug-drug interaction prediction with contrastive learning
J Zhong, H Zhao, Q Zhao… - IEEE/ACM Transactions on …, 2024 - ieeexplore.ieee.org
Precisely predicting Drug-Drug Interactions (DDIs) carries the potential to elevate the quality
and safety of drug therapies, protecting the well-being of patients, and providing essential …
and safety of drug therapies, protecting the well-being of patients, and providing essential …
DVMPDC: A Deep Learning Model Based on Dual-View Representation and Multi-Strategy Pooling for Predicting Synergistic Drug Combinations
C Xie, H Zhao, J Wang - International Symposium on Bioinformatics …, 2024 - Springer
The development of drug resistance in cancer significantly affects treatment efficacy.
Combination therapy holds promise in overcoming drug resistance and providing more …
Combination therapy holds promise in overcoming drug resistance and providing more …
MPEMDA: A Multi-Similarity Integration Approach with Pre-completion and Error Correction for Predicting Microbe-Drug Associations
Y Li, H Zhao, J Wang - Methods, 2025 - Elsevier
Exploring the associations between microbes and drugs offers valuable insights into their
underlying mechanisms. Traditional wet lab experiments, while reliable, are often time …
underlying mechanisms. Traditional wet lab experiments, while reliable, are often time …
LLMDTA: Improving Cold-Start Prediction in Drug-Target Affinity with Biological LLM
W Tang, Q Zhao, J Wang - International Symposium on Bioinformatics …, 2024 - Springer
Drug target affinity (DTA) prediction can significantly boost the drug development process.
Although deep learning-based models perform well on benchmark datasets, their prediction …
Although deep learning-based models perform well on benchmark datasets, their prediction …
MEMDA: A Multi-similarity Integration Pre-completion Algorithm with Error Correction for Predicting Microbe-Drug Associations
Y Li, H Zhao, J Wang - International Symposium on Bioinformatics …, 2024 - Springer
Exploring the relationship between microbes and drugs can enhance our understanding of
the mechanisms underlying their interactions. Traditional wet lab experimental methods are …
the mechanisms underlying their interactions. Traditional wet lab experimental methods are …