ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1912.12553
  4. Cited By
Explainable Deep Relational Networks for Predicting Compound-Protein
  Affinities and Contacts

Explainable Deep Relational Networks for Predicting Compound-Protein Affinities and Contacts

29 December 2019
Mostafa Karimi
Di Wu
Zhangyang Wang
Yang Shen
ArXivPDFHTML

Papers citing "Explainable Deep Relational Networks for Predicting Compound-Protein Affinities and Contacts"

25 / 25 papers shown
Title
Evaluating Explanation Without Ground Truth in Interpretable Machine
  Learning
Evaluating Explanation Without Ground Truth in Interpretable Machine Learning
Fan Yang
Mengnan Du
Xia Hu
XAI
ELM
50
67
0
16 Jul 2019
WideDTA: prediction of drug-target binding affinity
WideDTA: prediction of drug-target binding affinity
Hakime Öztürk
E. Olmez
Arzucan Özgür
OOD
53
161
0
04 Feb 2019
Using Attribution to Decode Dataset Bias in Neural Network Models for
  Chemistry
Using Attribution to Decode Dataset Bias in Neural Network Models for Chemistry
Kevin McCloskey
Ankur Taly
Federico Monti
M. Brenner
Lucy J. Colwell
50
85
0
27 Nov 2018
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
67
51
0
22 Nov 2018
DeepConv-DTI: Prediction of drug-target interactions via deep learning
  with convolution on protein sequences
DeepConv-DTI: Prediction of drug-target interactions via deep learning with convolution on protein sequences
Xuesu Xiao
Jongsoo Keum
Mohamed Suhail
43
418
0
06 Nov 2018
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
238
7,642
0
01 Oct 2018
PADME: A Deep Learning-based Framework for Drug-Target Interaction
  Prediction
PADME: A Deep Learning-based Framework for Drug-Target Interaction Prediction
Qingyuan Feng
Evgenia V. Dueva
Artem Cherkasov
Martin Ester
40
86
0
25 Jul 2018
DeepAffinity: Interpretable Deep Learning of Compound-Protein Affinity
  through Unified Recurrent and Convolutional Neural Networks
DeepAffinity: Interpretable Deep Learning of Compound-Protein Affinity through Unified Recurrent and Convolutional Neural Networks
Mostafa Karimi
Di Wu
Zhangyang Wang
Yang Shen
69
361
0
20 Jun 2018
Learning Longer-term Dependencies in RNNs with Auxiliary Losses
Learning Longer-term Dependencies in RNNs with Auxiliary Losses
Trieu H. Trinh
Andrew M. Dai
Thang Luong
Quoc V. Le
72
180
0
01 Mar 2018
DeepDTA: Deep Drug-Target Binding Affinity Prediction
DeepDTA: Deep Drug-Target Binding Affinity Prediction
Hakime Öztürk
E. Olmez
Arzucan Özgür
100
1,077
0
30 Jan 2018
VAIN: Attentional Multi-agent Predictive Modeling
VAIN: Attentional Multi-agent Predictive Modeling
Yedid Hoshen
GNN
97
238
0
19 Jun 2017
A simple neural network module for relational reasoning
A simple neural network module for relational reasoning
Adam Santoro
David Raposo
David Barrett
Mateusz Malinowski
Razvan Pascanu
Peter W. Battaglia
Timothy Lillicrap
GNN
NAI
177
1,614
0
05 Jun 2017
Atomic Convolutional Networks for Predicting Protein-Ligand Binding
  Affinity
Atomic Convolutional Networks for Predicting Protein-Ligand Binding Affinity
Joseph Gomes
Bharath Ramsundar
Evan N. Feinberg
Vijay S. Pande
49
193
0
30 Mar 2017
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
399
3,787
0
28 Feb 2017
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
530
1,409
0
01 Dec 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
617
29,051
0
09 Sep 2016
Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep
  Learning Model
Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model
Sheng Wang
S. Sun
Zerui Li
Renyu Zhang
Jinbo Xu
56
822
0
02 Sep 2016
RETAIN: An Interpretable Predictive Model for Healthcare using Reverse
  Time Attention Mechanism
RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism
Edward Choi
M. T. Bahadori
Joshua A. Kulas
A. Schuetz
Walter F. Stewart
Jimeng Sun
AI4TS
115
1,245
0
19 Aug 2016
Visual Relationship Detection with Language Priors
Visual Relationship Detection with Language Priors
Cewu Lu
Ranjay Krishna
Michael S. Bernstein
Li Fei-Fei
VLM
76
1,140
0
31 Jul 2016
Human Attention in Visual Question Answering: Do Humans and Deep
  Networks Look at the Same Regions?
Human Attention in Visual Question Answering: Do Humans and Deep Networks Look at the Same Regions?
Abhishek Das
Harsh Agrawal
C. L. Zitnick
Devi Parikh
Dhruv Batra
95
465
0
11 Jun 2016
Adversarial Feature Learning
Adversarial Feature Learning
Jiasen Lu
Philipp Krahenbuhl
Trevor Darrell
GAN
109
1,831
0
31 May 2016
Studying Very Low Resolution Recognition Using Deep Networks
Studying Very Low Resolution Recognition Using Deep Networks
Zhangyang Wang
Shiyu Chang
Yingzhen Yang
Ding Liu
Thomas S. Huang
43
226
0
16 Jan 2016
AtomNet: A Deep Convolutional Neural Network for Bioactivity Prediction
  in Structure-based Drug Discovery
AtomNet: A Deep Convolutional Neural Network for Bioactivity Prediction in Structure-based Drug Discovery
Izhar Wallach
Michael Dzamba
Abraham Heifets
82
542
0
10 Oct 2015
Show, Attend and Tell: Neural Image Caption Generation with Visual
  Attention
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
Ke Xu
Jimmy Ba
Ryan Kiros
Kyunghyun Cho
Aaron Courville
Ruslan Salakhutdinov
R. Zemel
Yoshua Bengio
DiffM
337
10,069
0
10 Feb 2015
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
552
27,300
0
01 Sep 2014
1