In summary, we have described an open-source, generic, and extensible deep learning framework for data mining very large datasets of protein-protein interfaces. We demonstrated the effectiveness and readiness of applying DeepRank on two different challenges in structural biology. We expect DeepRank to...
今天给大家介绍Utrecht University的Alexandre M. J. J. Bonvin和Li C. Xue团队发表在Nature Communications上的文章《DeepRank: a deep learning framework for data mining 3D protein-protein interfaces》。文章介绍了DeepRank，一个基于3DCNN的通用深度学习框架，用于蛋白-蛋白界面（PPIs）数据集的数据挖掘。DeepRa...
Xue团队发表在Nature Communications上的文章《DeepRank: a deep learning framework for data mining 3D protein-protein interfaces》。文章介绍了DeepRank,一个基于3DCNN的通用深度学习框架,用于蛋白-蛋白界面(PPIs)数据集的数据挖掘。DeepRank主要有两个功能:生物和人工晶体PPIs的分类和对接模型的评估。DeepRank可以和...
今天给大家介绍Utrecht University的Alexandre M. J. J. Bonvin和Li C. Xue团队发表在Nature Communications上的文章《DeepRank: a deep learning framework for data mining 3D protein-protein interfaces》。文章介绍了DeepRank,一个基于3DCNN的通用深度学习框架,用于蛋白-蛋白界面(PPIs)数据集的数据挖掘。DeepRank...
DeepRank: a deep learning framework for data mining 3D protein-protein interfaces Article Open access 03 December 2021 ScanNet: an interpretable geometric deep learning model for structure-based protein binding site prediction Article 30 May 2022 SurfDock is a surface-informed diffusion generative...
DeepRank2 is an open-source deep learning (DL) framework for data mining of protein-protein interfaces (PPIs) or single-residue variants (SRVs). This package is an improved and unified version of three previously developed packages:DeepRank,DeepRank-GNN, andDeepRank-Mut. ...
State-of-the-art methods for protein-protein interaction (PPI) extraction areprimarily feature-based or kernel-based by leveraging lexical and syntacticinformation. But how to incorporate such knowledge in the recent deep learningmethods remains an open question. In this paper, we propose a multichan...
In this study, we summarized and reviewed the applications of deep learning for drug discovery with BigData. Keywords: artificial intelligence (AI); BigData; convolutional neural networks; deep learning; recurrent neural network1. Introduction Originally, artificial intelligence (AI) was used in the ...
Literature of Deep Learning for Graphs This is a paper list about deep learning for graphs. Sort by topic Sort by venue 1 Node Representation Learning 1.1 Unsupervised Node Representation Learning 1.2 Node Representation Learning in Heterogeneous Graphs 1.3 Node Representation Learning in Dynamic Graphs...
In this chapter we have discussed different deep learning methods used in CAD and in the health sector. Also we have discussed many application areas in the field of medical imaging and health informatics.Biomedical Data Mining for Information Retrievaldoi:10.1002/9781119711278.ch9Monika Jyotiyana...