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Generating Tertiary Protein Structures via an Interpretative Variational
  Autoencoder

Generating Tertiary Protein Structures via an Interpretative Variational Autoencoder

8 April 2020
Xiaojie Guo
Yuanqi Du
Sivani Tadepalli
Liang Zhao
Amarda Shehu
    DRL
ArXivPDFHTML

Papers citing "Generating Tertiary Protein Structures via an Interpretative Variational Autoencoder"

5 / 5 papers shown
Title
Multi-objective Deep Data Generation with Correlated Property Control
Multi-objective Deep Data Generation with Correlated Property Control
Shiyu Wang
Xiaojie Guo
Xuanyang Lin
Bo Pan
Yuanqi Du
...
S. Alkhalifa
K. Minbiole
Bill Wuest
Amarda Shehu
Liang Zhao
AI4CE
54
14
0
01 Oct 2022
Learning Geometrically Disentangled Representations of Protein Folding
  Simulations
Learning Geometrically Disentangled Representations of Protein Folding Simulations
N. Joseph Tatro
Payel Das
Pin-Yu Chen
Vijil Chenthamarakshan
Rongjie Lai
AI4CE
19
0
0
20 May 2022
Disentangled Spatiotemporal Graph Generative Models
Disentangled Spatiotemporal Graph Generative Models
Yuanqi Du
Xiaojie Guo
Hengning Cao
Yanfang Ye
Liang Zhao
31
21
0
28 Feb 2022
G-VAE, a Geometric Convolutional VAE for ProteinStructure Generation
G-VAE, a Geometric Convolutional VAE for ProteinStructure Generation
Hao Huang
Boulbaba Ben Amor
Xichan Lin
Fan Zhu
Yi Fang
DRL
26
7
0
22 Jun 2021
A Systematic Survey on Deep Generative Models for Graph Generation
A Systematic Survey on Deep Generative Models for Graph Generation
Xiaojie Guo
Liang Zhao
MedIm
44
147
0
13 Jul 2020
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