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Sep 16, 2019 · Computational drug discovery provides an efficient tool for helping large-scale lead molecule screening. One of the major tasks of lead ...
Oct 6, 2021 · In this work, we proposed a simple OnionNet-2—a 2D CNN based regression model to predict protein-ligand △G, which adopts the rotation-free ...
A multiple-layer inter-molecular contact features based deep neural network for protein-ligand binding affinity prediction - zhenglz/onionnet.
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Aug 9, 2016 · We propose to replace a monolithic network with our novel cascade of feature-sharing deep classifiers, called OnionNet, where subsequent stages ...
OnionNet-2. OnionNet-2 is constructed based on convolutional neural network (CNN) to predict the protein-ligand binding affinity. One of the greatest advantages ...
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Mar 22, 2021 · In this study, we proposed a simple scoring function (called OnionNet-2) based on convolutional neural network to predict \triangleG. The ...
onion_net from www.frontiersin.org
Feb 19, 2021 · The OnionNet is used to extract a feature map from the three-dimensional structure of a protein–drug molecular complex. The SE module is added ...
onion.net is the cms platform for fast paced, bespoke web projects. Descriptions (xml schema, xsl) replace programming. Download free trial.
This study provides a simple but efficient scoring function for predicting protein-ligand binding free energy based on convolutional neural network and ...
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