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Widely Used and Fast De Novo Drug Design by a Protein Sequence-Based Reinforcement Learning Model
In the generative model, one of the reward components, a binding affinity predictor, is based on 1D protein sequence and molecular SMILES.
CRNNTL: convolutional recurrent neural network and transfer learning for QSAR modelling
Our strategy takes advantages of both convolutional and recurrent neural networks for feature extraction, as well as the data augmentation method.
Conditional Image Generation with One-Vs-All Classifier
This paper explores conditional image generation with a One-Vs-All classifier based on the Generative Adversarial Networks (GANs).
A novel method for identifying the deep neural network model with the Serial Number
Deep neural network (DNN) with the state of art performance has emerged as a viable and lucrative business service.
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