[HTML][HTML] PIGNet: a physics-informed deep learning model toward generalized drug–target interaction predictions

S Moon, W Zhung, S Yang, J Lim, WY Kim - Chemical Science, 2022 - pubs.rsc.org
Recently, deep neural network (DNN)-based drug–target interaction (DTI) models were
highlighted for their high accuracy with affordable computational costs. Yet, the models' …

PIGNet: A physics-informed deep learning model toward generalized drug-target interaction predictions

S Moon, W Zhung, S Yang, J Lim, WY Kim - arXiv preprint arXiv …, 2020 - arxiv.org
Recently, deep neural network (DNN)-based drug-target interaction (DTI) models were
highlighted for their high accuracy with affordable computational costs. Yet, the models' …

PIGNet: a physics-informed deep learning model toward generalized drug-target interaction predictions

S Moon, W Zhung, S Yang, J Lim… - Chemical …, 2022 - pubmed.ncbi.nlm.nih.gov
Recently, deep neural network (DNN)-based drug-target interaction (DTI) models were
highlighted for their high accuracy with affordable computational costs. Yet, the models' …

[HTML][HTML] PIGNet: a physics-informed deep learning model toward generalized drug–target interaction predictions

S Moon, W Zhung, S Yang, J Lim, WY Kim - Chemical Science, 2022 - ncbi.nlm.nih.gov
Recently, deep neural network (DNN)-based drug–target interaction (DTI) models were
highlighted for their high accuracy with affordable computational costs. Yet, the models' …

PIGNet: a physics-informed deep learning model toward generalized drug–target interaction predictions

S Moon, W Zhung, S Yang, J Lim, WY Kim - Chemical Science, 2022 - Elsevier
Recently, deep neural network (DNN)-based drug–target interaction (DTI) models were
highlighted for their high accuracy with affordable computational costs. Yet, the models' …

PIGNet: A physics-informed deep learning model toward generalized drug-target interaction predictions

S Moon, W Zhung, S Yang, J Lim, WY Kim - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
Recently, deep neural network (DNN)-based drug-target interaction (DTI) models were
highlighted for their high accuracy with affordable computational costs. Yet, the models' …

[PDF][PDF] PIGNet: a physics-informed deep learning model toward generalized drug–target interaction predictions

S Moon, W Zhung, S Yang, J Lim, WY Kim - 2022 - scholar.archive.org
Recently, deep neural network (DNN)-based drug–target interaction (DTI) models were
highlighted for their high accuracy with affordable computational costs. Yet, the models' …

PIGNet: a physics-informed deep learning model toward generalized drug-target interaction predictions

S Moon, W Zhung, S Yang, J Lim, WY Kim - Chemical Science, 2022 - pure.kaist.ac.kr
Recently, deep neural network (DNN)-based drug-target interaction (DTI) models were
highlighted for their high accuracy with affordable computational costs. Yet, the models' …

PIGNet: a physics-informed deep learning model toward generalized drug-target interaction predictions

S Moon, W Zhung, S Yang, J Lim… - CHEMICAL SCIENCE, 2022 - koasas.kaist.ac.kr
Recently, deep neural network (DNN)-based drug-target interaction (DTI) models were
highlighted for their high accuracy with affordable computational costs. Yet, the models' …

PIGNet: a physics-informed deep learning model toward generalized drug-target interaction predictions.

S Moon, W Zhung, S Yang, J Lim, WY Kim - Chemical Science, 2022 - europepmc.org
Recently, deep neural network (DNN)-based drug–target interaction (DTI) models were
highlighted for their high accuracy with affordable computational costs. Yet, the models' …