scholarly article | Q13442814 |
P8978 | DBLP publication ID | journals/bioinformatics/AbbasiRPAGM20 |
P356 | DOI | 10.1093/BIOINFORMATICS/BTAA544 |
P698 | PubMed publication ID | 32462178 |
P2093 | author name string | Ali Masoudi-Nejad | |
Massoud Amanlou | |||
Antti Poso | |||
Jahan B Ghasemi | |||
Karim Abbasi | |||
Parvin Razzaghi | |||
P2860 | cites work | Open Babel: An open chemical toolbox | Q21198766 |
SMILES, a chemical language and information system. 1. Introduction to methodology and encoding rules | Q28090714 | ||
Deep Learning in Drug Discovery. | Q38918718 | ||
SimBoost: a read-across approach for predicting drug-target binding affinities using gradient boosting machines. | Q43118032 | ||
Deep Transferable Compound Representation across Domains and Tasks for Low Data Drug Discovery | Q90988720 | ||
P921 | main subject | convolutional neural network | Q17084460 |
long short-term memory | Q6673524 | ||
P577 | publication date | 2020-05-27 | |
P1433 | published in | Bioinformatics | Q4914910 |
P1476 | title | DeepCDA: Deep Cross-Domain Compound-Protein Affinity Prediction through LSTM and Convolutional Neural Networks |
Q112053034 | Data considerations for predictive modeling applied to the discovery of bioactive natural products |
Q112705246 | ELECTRA-DTA: a new compound-protein binding affinity prediction model based on the contextualized sequence encoding |
Q111520702 | FusionDTA: attention-based feature polymerizer and knowledge distillation for drug-target binding affinity prediction |
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