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  3. 1705.05919
  4. Cited By
DeepGO: Predicting protein functions from sequence and interactions
  using a deep ontology-aware classifier

DeepGO: Predicting protein functions from sequence and interactions using a deep ontology-aware classifier

15 May 2017
Maxat Kulmanov
Mohammed Asif Khan
Robert Hoehndorf
ArXivPDFHTML

Papers citing "DeepGO: Predicting protein functions from sequence and interactions using a deep ontology-aware classifier"

29 / 29 papers shown
Title
Transformers trained on proteins can learn to attend to Euclidean distance
Transformers trained on proteins can learn to attend to Euclidean distance
Isaac Ellmen
Constantin Schneider
Matthew I.J. Raybould
Charlotte M. Deane
88
0
0
03 Feb 2025
Informed deep hierarchical classification: a non-standard analysis
  inspired approach
Informed deep hierarchical classification: a non-standard analysis inspired approach
Lorenzo Fiaschi
Marco Cococcioni
46
0
0
25 Sep 2024
ProteinRPN: Towards Accurate Protein Function Prediction with
  Graph-Based Region Proposals
ProteinRPN: Towards Accurate Protein Function Prediction with Graph-Based Region Proposals
Shania Mitra
Lei Huang
Manolis Kellis
ViT
21
0
0
01 Sep 2024
Clustering for Protein Representation Learning
Clustering for Protein Representation Learning
Ruijie Quan
Wenguan Wang
Fan Ma
Hehe Fan
Yi Yang
56
5
0
30 Mar 2024
ProtIR: Iterative Refinement between Retrievers and Predictors for
  Protein Function Annotation
ProtIR: Iterative Refinement between Retrievers and Predictors for Protein Function Annotation
Zuobai Zhang
Jiarui Lu
Vijil Chenthamarakshan
Aurélie C. Lozano
Payel Das
Jian Tang
31
1
0
10 Feb 2024
VALUED -- Vision and Logical Understanding Evaluation Dataset
VALUED -- Vision and Logical Understanding Evaluation Dataset
Soumadeep Saha
Saptarshi Saha
Utpal Garain
33
0
0
21 Nov 2023
Insights Into the Inner Workings of Transformer Models for Protein
  Function Prediction
Insights Into the Inner Workings of Transformer Models for Protein Function Prediction
M. Wenzel
Erik Grüner
Nils Strodthoff
ViT
43
8
0
07 Sep 2023
DeepGATGO: A Hierarchical Pretraining-Based Graph-Attention Model for
  Automatic Protein Function Prediction
DeepGATGO: A Hierarchical Pretraining-Based Graph-Attention Model for Automatic Protein Function Prediction
Zihao Li
Changkun Jiang
Jianqiang Li
14
6
0
24 Jul 2023
A Review of Deep Learning Techniques for Protein Function Prediction
A Review of Deep Learning Techniques for Protein Function Prediction
Divyanshu Aggarwal
Y. Hasija
24
1
0
27 Oct 2022
Isoform Function Prediction Using a Deep Neural Network
Isoform Function Prediction Using a Deep Neural Network
Sara Ghazanfari
Ali Rasteh
S. Motahari
M. Baghshah
29
0
0
05 Aug 2022
Transformer Neural Networks Attending to Both Sequence and Structure for
  Protein Prediction Tasks
Transformer Neural Networks Attending to Both Sequence and Structure for Protein Prediction Tasks
Anowarul Kabir
Amarda Shehu
ViT
40
3
0
17 Jun 2022
Deep Learning with Logical Constraints
Deep Learning with Logical Constraints
Eleonora Giunchiglia
Mihaela C. Stoian
Thomas Lukasiewicz
NAI
AI4CE
44
61
0
01 May 2022
An Effective GCN-based Hierarchical Multi-label classification for
  Protein Function Prediction
An Effective GCN-based Hierarchical Multi-label classification for Protein Function Prediction
Kyudam Choi
Yurim Lee
Cheongwon Kim
MinSung Yoon
21
7
0
06 Dec 2021
Leveraging Sequence Embedding and Convolutional Neural Network for
  Protein Function Prediction
Leveraging Sequence Embedding and Convolutional Neural Network for Protein Function Prediction
Wei-Cheng Tseng
Po-Han Chi
Jiahong Wu
Min Sun
24
0
0
01 Dec 2021
An Integrated Deep Learning and Dynamic Programming Method for
  Predicting Tumor Suppressor Genes, Oncogenes, and Fusion from PDB Structures
An Integrated Deep Learning and Dynamic Programming Method for Predicting Tumor Suppressor Genes, Oncogenes, and Fusion from PDB Structures
Nishanth Anandanadarajah
Chee-Hung Henry Chu
R. Loganantharaj
38
2
0
17 May 2021
Multi-Label Classification Neural Networks with Hard Logical Constraints
Multi-Label Classification Neural Networks with Hard Logical Constraints
Eleonora Giunchiglia
Thomas Lukasiewicz
AILaw
54
43
0
24 Mar 2021
Cyberbiosecurity: DNA Injection Attack in Synthetic Biology
Cyberbiosecurity: DNA Injection Attack in Synthetic Biology
Dor Farbiash
Rami Puzis
AAML
9
7
0
28 Nov 2020
Coherent Hierarchical Multi-Label Classification Networks
Coherent Hierarchical Multi-Label Classification Networks
Eleonora Giunchiglia
Thomas Lukasiewicz
AILaw
51
96
0
20 Oct 2020
Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein
  Structures
Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein Structures
Pedro Hermosilla
M. Schäfer
Matěj Lang
Gloria Fackelmann
Pere-Pau Vázquez
Barbora Kozlíková
M. Krone
Tobias Ritschel
Timo Ropinski
33
2
0
13 Jul 2020
Enzyme promiscuity prediction using hierarchy-informed multi-label
  classification
Enzyme promiscuity prediction using hierarchy-informed multi-label classification
Gian Marco Visani
M. C. Hughes
S. Hassoun
22
2
0
18 Feb 2020
AMP0: Species-Specific Prediction of Anti-microbial Peptides using Zero
  and Few Shot Learning
AMP0: Species-Specific Prediction of Anti-microbial Peptides using Zero and Few Shot Learning
Sadaf Gull
F. Minhas
34
10
0
28 Oct 2019
Graph Embedding on Biomedical Networks: Methods, Applications, and
  Evaluations
Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations
Xiang Yue
Zhen Wang
Jingong Huang
Srinivasan Parthasarathy
Soheil Moosavinasab
Yungui Huang
S. Lin
Wen Zhang
Ping Zhang
Huan Sun
GNN
21
325
0
12 Jun 2019
Using Ontologies To Improve Performance In Massively Multi-label
  Prediction Models
Using Ontologies To Improve Performance In Massively Multi-label Prediction Models
E. Steinberg
Peter J. Liu
NoLa
29
4
0
28 May 2019
Deep learning in bioinformatics: introduction, application, and
  perspective in big data era
Deep learning in bioinformatics: introduction, application, and perspective in big data era
Yu Li
Chao Huang
Lizhong Ding
Zhongxiao Li
Yijie Pan
Xin Gao
AI4CE
29
296
0
28 Feb 2019
Deep Robust Framework for Protein Function Prediction using
  Variable-Length Protein Sequences
Deep Robust Framework for Protein Function Prediction using Variable-Length Protein Sequences
Ashish Ranjan
M. S. Fahad
David Fernández-Baca
A. Deepak
Sudhakar Tripathi
27
23
0
04 Nov 2018
DEEPGONET: Multi-label Prediction of GO Annotation for Protein from
  Sequence Using Cascaded Convolutional and Recurrent Network
DEEPGONET: Multi-label Prediction of GO Annotation for Protein from Sequence Using Cascaded Convolutional and Recurrent Network
S. M. S. Islam
Md Golam Moula Mehedi Hasan
28
2
0
31 Oct 2018
Machine Learning for Integrating Data in Biology and Medicine:
  Principles, Practice, and Opportunities
Machine Learning for Integrating Data in Biology and Medicine: Principles, Practice, and Opportunities
Marinka Zitnik
Francis Nguyen
Bo Wang
J. Leskovec
Anna Goldenberg
Michael M. Hoffman
LM&MA
AI4CE
16
457
0
30 Jun 2018
OPA2Vec: combining formal and informal content of biomedical ontologies
  to improve similarity-based prediction
OPA2Vec: combining formal and informal content of biomedical ontologies to improve similarity-based prediction
F. Z. Smaili
Xin Gao
Robert Hoehndorf
23
142
0
29 Apr 2018
ProLanGO: Protein Function Prediction Using Neural~Machine Translation
  Based on a Recurrent Neural Network
ProLanGO: Protein Function Prediction Using Neural~Machine Translation Based on a Recurrent Neural Network
Renzhi Cao
Colton Freitas
Leong Chan
Miao Sun
Haiqing Jiang
Zhangxin Chen
30
169
0
19 Oct 2017
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