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DeepDTA

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# About DeepDTA: deep drug-target binding affinity prediction

The approach used in this work is the modeling of protein sequences and compound 1D representations (SMILES) with convolutional neural networks (CNNs) to predict the binding affinity value of drug-target pairs.

![Figure](https://github.com/hkmztrk/DeepDTA/blob/master/docs/figures/deepdta.PNG?raw=true)
# Installation

## Data

Please see the [README](https://github.com/hkmztrk/DeepDTA/blob/master/data/README.md) for detailed explanation.
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	a/README.md		b/README.md
1	# About DeepDTA: deep drug-target binding affinity prediction	1	# About DeepDTA: deep drug-target binding affinity prediction
2		2
3	The approach used in this work is the modeling of protein sequences and compound 1D representations (SMILES) with convolutional neural networks (CNNs) to predict the binding affinity value of drug-target pairs.	3	The approach used in this work is the modeling of protein sequences and compound 1D representations (SMILES) with convolutional neural networks (CNNs) to predict the binding affinity value of drug-target pairs.
4		4
5	![Figure](https://github.com/hkmztrk/DeepDTA/blob/master/docs/figures/deepdta.png?raw=true)	5	![Figure](https://github.com/hkmztrk/DeepDTA/blob/master/docs/figures/deepdta.PNG?raw=true)
6	# Installation	6	# Installation
7		7
8	## Data	8	## Data
9		9
10	Please see the [README](https://github.com/hkmztrk/DeepDTA/blob/master/data/README.md) for detailed explanation.	10	Please see the [README](https://github.com/hkmztrk/DeepDTA/blob/master/data/README.md) for detailed explanation.
	...		...
60	```	60	```