431 related articles for article (PubMed ID: 33431042)
1. Evaluation of deep and shallow learning methods in chemogenomics for the prediction of drugs specificity.
Playe B; Stoven V
J Cheminform; 2020 Feb; 12(1):11. PubMed ID: 33431042
[TBL] [Abstract][Full Text] [Related]
2. Deep Learning-Based Modeling of Drug-Target Interaction Prediction Incorporating Binding Site Information of Proteins.
D'Souza S; Prema KV; Balaji S; Shah R
Interdiscip Sci; 2023 Jun; 15(2):306-315. PubMed ID: 36967455
[TBL] [Abstract][Full Text] [Related]
3. Employing Molecular Conformations for Ligand-Based Virtual Screening with Equivariant Graph Neural Network and Deep Multiple Instance Learning.
Gu Y; Li J; Kang H; Zhang B; Zheng S
Molecules; 2023 Aug; 28(16):. PubMed ID: 37630234
[TBL] [Abstract][Full Text] [Related]
4. ALDPI: adaptively learning importance of multi-scale topologies and multi-modality similarities for drug-protein interaction prediction.
Hu K; Cui H; Zhang T; Sun C; Xuan P
Brief Bioinform; 2022 Mar; 23(2):. PubMed ID: 35108362
[TBL] [Abstract][Full Text] [Related]
5. A chemogenomics view on protein-ligand spaces.
Strömbergsson H; Kleywegt GJ
BMC Bioinformatics; 2009 Jun; 10 Suppl 6(Suppl 6):S13. PubMed ID: 19534738
[TBL] [Abstract][Full Text] [Related]
6. A deep neural network approach to predicting clinical outcomes of neuroblastoma patients.
Tranchevent LC; Azuaje F; Rajapakse JC
BMC Med Genomics; 2019 Dec; 12(Suppl 8):178. PubMed ID: 31856829
[TBL] [Abstract][Full Text] [Related]
7. Active learning for computational chemogenomics.
Reker D; Schneider P; Schneider G; Brown JB
Future Med Chem; 2017 Mar; 9(4):381-402. PubMed ID: 28263088
[TBL] [Abstract][Full Text] [Related]
8. RNA-protein binding motifs mining with a new hybrid deep learning based cross-domain knowledge integration approach.
Pan X; Shen HB
BMC Bioinformatics; 2017 Feb; 18(1):136. PubMed ID: 28245811
[TBL] [Abstract][Full Text] [Related]
9. Beyond the hype: deep neural networks outperform established methods using a ChEMBL bioactivity benchmark set.
Lenselink EB; Ten Dijke N; Bongers B; Papadatos G; van Vlijmen HWT; Kowalczyk W; IJzerman AP; van Westen GJP
J Cheminform; 2017 Aug; 9(1):45. PubMed ID: 29086168
[TBL] [Abstract][Full Text] [Related]
10. Predicting protein-ligand binding residues with deep convolutional neural networks.
Cui Y; Dong Q; Hong D; Wang X
BMC Bioinformatics; 2019 Feb; 20(1):93. PubMed ID: 30808287
[TBL] [Abstract][Full Text] [Related]
11. Boosting compound-protein interaction prediction by deep learning.
Tian K; Shao M; Wang Y; Guan J; Zhou S
Methods; 2016 Nov; 110():64-72. PubMed ID: 27378654
[TBL] [Abstract][Full Text] [Related]
12. Multi-modality attribute learning-based method for drug-protein interaction prediction based on deep neural network.
Dong W; Yang Q; Wang J; Xu L; Li X; Luo G; Gao X
Brief Bioinform; 2023 May; 24(3):. PubMed ID: 37114624
[TBL] [Abstract][Full Text] [Related]
13. Benchmarking a Wide Range of Chemical Descriptors for Drug-Target Interaction Prediction Using a Chemogenomic Approach.
Sawada R; Kotera M; Yamanishi Y
Mol Inform; 2014 Dec; 33(11-12):719-31. PubMed ID: 27485418
[TBL] [Abstract][Full Text] [Related]
14. BACPI: a bi-directional attention neural network for compound-protein interaction and binding affinity prediction.
Li M; Lu Z; Wu Y; Li Y
Bioinformatics; 2022 Mar; 38(7):1995-2002. PubMed ID: 35043942
[TBL] [Abstract][Full Text] [Related]
15. Patient Representation Learning From Heterogeneous Data Sources and Knowledge Graphs Using Deep Collective Matrix Factorization: Evaluation Study.
Kumar S; Nanelia A; Mariappan R; Rajagopal A; Rajan V
JMIR Med Inform; 2022 Jan; 10(1):e28842. PubMed ID: 35049514
[TBL] [Abstract][Full Text] [Related]
16. Predicting drug-drug interactions using multi-modal deep auto-encoders based network embedding and positive-unlabeled learning.
Zhang Y; Qiu Y; Cui Y; Liu S; Zhang W
Methods; 2020 Jul; 179():37-46. PubMed ID: 32497603
[TBL] [Abstract][Full Text] [Related]
17. Efficient multi-task chemogenomics for drug specificity prediction.
Playe B; Azencott CA; Stoven V
PLoS One; 2018; 13(10):e0204999. PubMed ID: 30286165
[TBL] [Abstract][Full Text] [Related]
18. Performance of Deep and Shallow Neural Networks, the Universal Approximation Theorem, Activity Cliffs, and QSAR.
Winkler DA; Le TC
Mol Inform; 2017 Jan; 36(1-2):. PubMed ID: 27783464
[TBL] [Abstract][Full Text] [Related]
19. Computational chemogenomics: is it more than inductive transfer?
Brown JB; Okuno Y; Marcou G; Varnek A; Horvath D
J Comput Aided Mol Des; 2014 Jun; 28(6):597-618. PubMed ID: 24771144
[TBL] [Abstract][Full Text] [Related]
20. Compound-protein interaction prediction with end-to-end learning of neural networks for graphs and sequences.
Tsubaki M; Tomii K; Sese J
Bioinformatics; 2019 Jan; 35(2):309-318. PubMed ID: 29982330
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]