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EnzyNet: enzyme classification using 3D convolutional neural networks on
  spatial representation

EnzyNet: enzyme classification using 3D convolutional neural networks on spatial representation

19 July 2017
A. Amidi
Shervine Amidi
D. Vlachakis
V. Megalooikonomou
Nikos Paragios
E. Zacharaki
    MedIm
ArXivPDFHTML

Papers citing "EnzyNet: enzyme classification using 3D convolutional neural networks on spatial representation"

6 / 6 papers shown
Title
Clustering for Protein Representation Learning
Clustering for Protein Representation Learning
Ruijie Quan
Wenguan Wang
Fan Ma
Hehe Fan
Yi Yang
29
5
0
30 Mar 2024
Data-Efficient Protein 3D Geometric Pretraining via Refinement of
  Diffused Protein Structure Decoy
Data-Efficient Protein 3D Geometric Pretraining via Refinement of Diffused Protein Structure Decoy
Yufei Huang
Lirong Wu
Haitao Lin
Jiangbin Zheng
Ge Wang
Stan Z. Li
DiffM
31
14
0
05 Feb 2023
A Survey on Protein Representation Learning: Retrospect and Prospect
A Survey on Protein Representation Learning: Retrospect and Prospect
Lirong Wu
Yu-Feng Huang
H. Lin
Stan Z. Li
AI4TS
33
12
0
31 Dec 2022
Contrastive Representation Learning for 3D Protein Structures
Contrastive Representation Learning for 3D Protein Structures
Pedro Hermosilla
Timo Ropinski
3DV
46
51
0
31 May 2022
KekuleScope: prediction of cancer cell line sensitivity and compound
  potency using convolutional neural networks trained on compound images
KekuleScope: prediction of cancer cell line sensitivity and compound potency using convolutional neural networks trained on compound images
I. Cortés-Ciriano
A. Bender
MedIm
27
51
0
22 Nov 2018
A Spatial Mapping Algorithm with Applications in Deep Learning-Based
  Structure Classification
A Spatial Mapping Algorithm with Applications in Deep Learning-Based Structure Classification
T. Corcoran
R. Zamora-Resendiz
Xinlian Liu
S. Crivelli
3DPC
3DV
18
16
0
07 Feb 2018
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