Maya Hirohara
Keio University
Publications 1
#1Maya Hirohara (Keio: Keio University)
#2Yutaka Saito (AIST: National Institute of Advanced Industrial Science and Technology)H-Index: 4
Last.Yasubumi Sakakibara (Keio: Keio University)H-Index: 29
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Previous studies have suggested deep learning to be a highly effective approach for screening lead compounds for new drugs. Several deep learning models have been developed by addressing the use of various kinds of fingerprints and graph convolution architectures. However, these methods are either advantageous or disadvantageous depending on whether they (1) can distinguish structural differences including chirality of compounds, and (2) can automatically discover effective features. We develope...