Update README.md
#2
by
wxyedward
- opened
README.md
CHANGED
@@ -1,31 +1,45 @@
|
|
1 |
---
|
2 |
license: artistic-2.0
|
|
|
|
|
|
|
|
|
|
|
3 |
---
|
4 |
-
#
|
5 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
6 |
conda create -n druggpt python=3.7
|
7 |
conda activate druggpt
|
8 |
-
|
9 |
-
|
10 |
-
|
11 |
-
pip install transformers
|
12 |
-
pip install
|
13 |
conda install -c openbabel openbabel
|
14 |
-
|
15 |
-
|
16 |
-
|
17 |
-
|
18 |
-
|
19 |
-
3. Navigate to the directory containing the drug_generator.py file using cd path/to/directory.
|
20 |
-
4. Run the script with the desired arguments, such as the protein sequence, ligand prompt, number of molecules to generate, and output directory.
|
21 |
-
|
22 |
-
# Example usage:
|
23 |
-
|
24 |
-
## If you want to input a protein FASTA file,
|
25 |
python drug_generator.py -f bcl2.fasta -n 50
|
26 |
-
|
27 |
-
|
|
|
28 |
python drug_generator.py -p MAKQPSDVSSECDREGRQLQPAERPPQLRPGAPTSLQTEPQGNPEGNHGGEGDSCPHGSPQGPLAPPASPGPFATRSPLFIFMRRSSLLSRSSSGYFSFDTDRSPAPMSCDKSTQTPSPPCQAFNHYLSAMASMRQAEPADMRPEIWIAQELRRIGDEFNAYYARRVFLNNYQAAEDHPRMVILRLLRYIVRLVWRMH -n 50
|
|
|
29 |
|
30 |
-
|
31 |
-
|
|
|
|
|
|
|
|
|
|
1 |
---
|
2 |
license: artistic-2.0
|
3 |
+
tags:
|
4 |
+
- chemistry
|
5 |
+
- biology
|
6 |
+
- medical
|
7 |
+
- gpt2
|
8 |
---
|
9 |
+
# DrugGPT
|
10 |
+
A generative drug design model based on GPT2.
|
11 |
+
<img src="https://img.shields.io/badge/license-Artistic%20License%202.0-green"><img src="https://img.shields.io/badge/python-3.7-blue">
|
12 |
+
## Deployment
|
13 |
+
1. Clone
|
14 |
+
```shell
|
15 |
+
git lfs install
|
16 |
+
git clone https://huggingface.co/liyuesen/druggpt
|
17 |
+
```
|
18 |
+
2. Create virtual environment
|
19 |
+
```shell
|
20 |
conda create -n druggpt python=3.7
|
21 |
conda activate druggpt
|
22 |
+
```
|
23 |
+
3. Download python dependencies
|
24 |
+
```shell
|
25 |
+
pip install datasets transformers scipy scikit-learn
|
26 |
+
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu117
|
27 |
conda install -c openbabel openbabel
|
28 |
+
```
|
29 |
+
## Example usage
|
30 |
+
Run the script with the desired arguments, such as the protein sequence, ligand prompt, number of molecules to generate, and output directory.
|
31 |
+
- If you want to input a protein FASTA file
|
32 |
+
```shell
|
|
|
|
|
|
|
|
|
|
|
|
|
33 |
python drug_generator.py -f bcl2.fasta -n 50
|
34 |
+
```
|
35 |
+
- If you want to input the amino acid sequence of the protein
|
36 |
+
```shell
|
37 |
python drug_generator.py -p MAKQPSDVSSECDREGRQLQPAERPPQLRPGAPTSLQTEPQGNPEGNHGGEGDSCPHGSPQGPLAPPASPGPFATRSPLFIFMRRSSLLSRSSSGYFSFDTDRSPAPMSCDKSTQTPSPPCQAFNHYLSAMASMRQAEPADMRPEIWIAQELRRIGDEFNAYYARRVFLNNYQAAEDHPRMVILRLLRYIVRLVWRMH -n 50
|
38 |
+
```
|
39 |
|
40 |
+
- If you want to provide a prompt for the ligand
|
41 |
+
```shell
|
42 |
+
python drug_generator.py -f bcl2.fasta -l COc1ccc(cc1)C(=O) -n 50
|
43 |
+
```
|
44 |
+
## License
|
45 |
+
[Artistic License 2.0](https://opensource.org/license/artistic-license-2-0-php/)
|