Computationally Probing Drug-Protein Interactions Via Support Vector Machine-Reference-Cited by-同舟云学术

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Computationally Probing Drug-Protein Interactions Via Support Vector Machine

Published:2010-06-01 Issue:5 Volume:7 Page:370-378
ISSN:1570-1808
Container-title:Letters in Drug Design & Discovery
language:en
Short-container-title:LDDD

Author:

Wang Yong-Cui,Yang Zhi-Xia,Wang Yong,Deng Nai-Yang

Publisher

Bentham Science Publishers Ltd.

Subject

Drug Discovery,Pharmaceutical Science,Molecular Medicine

Cited by 48 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Graph-DTI: A New Model for Drug-target Interaction Prediction Based on Heterogenous Network Graph Embedding;Current Computer-Aided Drug Design;2023-12

2. A Robust Drug–Target Interaction Prediction Framework with Capsule Network and Transfer Learning;International Journal of Molecular Sciences;2023-09-14

3. DeepFNN-DTBA: prediction of drug-target binding affinity via feed-forward neural network on drug-protein sequences;Journal of Electronic Imaging;2022-12-06

4. Graph-DTI: A new Model for Drug-target Interaction Prediction Based on Heterogenous Network Graph Embedding;2022-10-04

5. GCMCDTI: Graph convolutional autoencoder framework for predicting drug–target interactions based on matrix completion;Journal of Bioinformatics and Computational Biology;2022-10

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