Upload 6 files
Browse files
data/graph_utils.py
ADDED
|
File without changes
|
data/processed/embeddings.pkl
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c1b762b7245a4b3741327b7df504a5fc01aa71cb123dab7589e4d397fce493a6
|
| 3 |
+
size 10234
|
data/processed/generate_dummy_embeddings.py
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import torch
|
| 2 |
+
import pickle
|
| 3 |
+
|
| 4 |
+
# Example SMILES strings
|
| 5 |
+
smiles_list = ["CC(=O)OC1=CC=CC=C1C(=O)O", "C1CCCCC1", "CCN(CC)CC"]
|
| 6 |
+
|
| 7 |
+
# Create 256-D random embeddings
|
| 8 |
+
embeddings_dict = {smi: torch.randn(256) for smi in smiles_list}
|
| 9 |
+
|
| 10 |
+
# Save to embeddings.pkl
|
| 11 |
+
with open("data/processed/embeddings.pkl", "wb") as f:
|
| 12 |
+
pickle.dump(embeddings_dict, f)
|
| 13 |
+
|
| 14 |
+
print("Saved dummy embeddings to data/processed/embeddings.pkl")
|
data/protein_target.fasta
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
>Target_Protein_Demo
|
| 2 |
+
MKTAYIAKQRQISFVKSHFSRQDILDLIC
|
data/raw/test_smiles.csv
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
smiles
|
| 2 |
+
CCO
|
| 3 |
+
CC(=O)O
|
| 4 |
+
CC(=O)OC1=CC=CC=C1C(=O)O
|
data/raw/zone_iv_synthetic.csv
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
smiles,shelf_life_days
|
| 2 |
+
CCO,365
|
| 3 |
+
CC(=O)O,400
|
| 4 |
+
CC(=O)OC1=CC=CC=C1C(=O)O,300
|
| 5 |
+
CCC,450
|
| 6 |
+
C1CCCCC1,500
|
| 7 |
+
C1=CC=CC=C1,480
|