ribesstefano
commited on
Commit
•
d4cd645
1
Parent(s):
f34a470
Updated README and Conda environment configuration file
Browse files- .gitignore +1 -0
- README.md +27 -16
- environment.yml +399 -0
.gitignore
CHANGED
@@ -165,5 +165,6 @@ cython_debug/
|
|
165 |
data/uniprot2embedding.h5
|
166 |
data/PROTAC-DB.csv
|
167 |
data/PROTAC-Pedia.csv
|
|
|
168 |
logs/
|
169 |
notebooks/per-protein*
|
|
|
165 |
data/uniprot2embedding.h5
|
166 |
data/PROTAC-DB.csv
|
167 |
data/PROTAC-Pedia.csv
|
168 |
+
data/cellosaurus.txt
|
169 |
logs/
|
170 |
notebooks/per-protein*
|
README.md
CHANGED
@@ -1,22 +1,19 @@
|
|
1 |
-
|
|
|
2 |
|
3 |
-
# PROTAC-Degradation-Predictor -->
|
4 |
|
5 |
-
|
6 |
-
<img src="https://img.shields.io/badge/Maturity%20Level-ML--0-red" alt="Maturity level-0">
|
7 |
-
</p>
|
8 |
|
9 |
-
|
10 |
-
|
11 |
-
<p align="center">
|
12 |
-
A machine learning-based tool for predicting PROTAC protein degradation activity.
|
13 |
-
</p>
|
14 |
|
15 |
## 📚 Table of Contents
|
16 |
|
17 |
- [Data Curation](#-data-curation)
|
18 |
- [Installation](#-installation)
|
19 |
- [Usage](#-usage)
|
|
|
|
|
|
|
20 |
|
21 |
## 📝 Data Curation
|
22 |
|
@@ -36,12 +33,14 @@ The package has been developed on a Linux machine with Python 3.10.8. It is reco
|
|
36 |
|
37 |
## 🎯 Usage
|
38 |
|
|
|
|
|
39 |
After installing the package, you can use it as follows:
|
40 |
|
41 |
```python
|
42 |
import protac_degradation_predictor as pdp
|
43 |
|
44 |
-
protac_smiles = '
|
45 |
e3_ligase = 'VHL'
|
46 |
target_uniprot = 'P04637'
|
47 |
cell_line = 'HeLa'
|
@@ -51,8 +50,6 @@ active_protac = pdp.is_protac_active(
|
|
51 |
e3_ligase,
|
52 |
target_uniprot,
|
53 |
cell_line,
|
54 |
-
device='cuda', # Default to 'cpu'
|
55 |
-
proba_threshold=0.5, # Default value
|
56 |
)
|
57 |
|
58 |
print(f'The given PROTAC is: {"active" if active_protac else "inactive"}')
|
@@ -62,12 +59,26 @@ This example demonstrates how to predict the activity of a PROTAC molecule. The
|
|
62 |
|
63 |
The function supports batch computation by passing lists of SMILES strings, E3 ligases, UniProt IDs, and cell lines. In this case, it returns a list of booleans indicating the activity of each PROTAC.
|
64 |
|
|
|
65 |
|
66 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
67 |
|
68 |
-
|
69 |
-
|
70 |
-
The code for training the model can be found in the file [`run_experiments.py`](src/run_experiments.py).
|
71 |
|
72 |
## 📄 Citation
|
73 |
|
|
|
1 |
+
![Maturity level-0](https://img.shields.io/badge/Maturity%20Level-ML--0-red)
|
2 |
+
<a href="https://colab.research.google.com/github/ribesstefano/PROTAC-Degradation-Predictor/blob/main/notebooks/protac_degradation_predictor_tutorial.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>
|
3 |
|
|
|
4 |
|
5 |
+
# PROTAC-Degradation-Predictor
|
|
|
|
|
6 |
|
7 |
+
A machine learning-based tool for predicting PROTAC protein degradation activity.
|
|
|
|
|
|
|
|
|
8 |
|
9 |
## 📚 Table of Contents
|
10 |
|
11 |
- [Data Curation](#-data-curation)
|
12 |
- [Installation](#-installation)
|
13 |
- [Usage](#-usage)
|
14 |
+
- [Training](#-training)
|
15 |
+
- [Citation](#-citation)
|
16 |
+
- [License](#-license)
|
17 |
|
18 |
## 📝 Data Curation
|
19 |
|
|
|
33 |
|
34 |
## 🎯 Usage
|
35 |
|
36 |
+
For a thorough explanation on how to use the package, please refer to the tutorial notebook [`protac_degradation_tutorial.ipynb`](notebooks/protac_degradation_tutorial.ipynb).
|
37 |
+
|
38 |
After installing the package, you can use it as follows:
|
39 |
|
40 |
```python
|
41 |
import protac_degradation_predictor as pdp
|
42 |
|
43 |
+
protac_smiles = 'Cc1ncsc1-c1ccc(CNC(=O)[C@@H]2C[C@@H](O)CN2C(=O)[C@@H](NC(=O)COCCCCCCCCCOCC(=O)Nc2ccc(C(=O)Nc3ccc(F)cc3N)cc2)C(C)(C)C)cc1'
|
44 |
e3_ligase = 'VHL'
|
45 |
target_uniprot = 'P04637'
|
46 |
cell_line = 'HeLa'
|
|
|
50 |
e3_ligase,
|
51 |
target_uniprot,
|
52 |
cell_line,
|
|
|
|
|
53 |
)
|
54 |
|
55 |
print(f'The given PROTAC is: {"active" if active_protac else "inactive"}')
|
|
|
59 |
|
60 |
The function supports batch computation by passing lists of SMILES strings, E3 ligases, UniProt IDs, and cell lines. In this case, it returns a list of booleans indicating the activity of each PROTAC.
|
61 |
|
62 |
+
## 📈 Training
|
63 |
|
64 |
|
65 |
+
Before running the experiments, here are some required steps to follow (assuming one is in the repository directory already):
|
66 |
+
1. Download the data from the [Cellosaurus database](https://web.expasy.org/cellosaurus/) and save it in the `data` directory:
|
67 |
+
```bash
|
68 |
+
wget https://ftp.expasy.org/databases/cellosaurus/cellosaurus.txt data/
|
69 |
+
```
|
70 |
+
2. Make a copy of the Uniprot embeddings to be placed in the `data` directory:
|
71 |
+
```bash
|
72 |
+
cp protac_degradation_predictor/data/uniprot2embedding.h5 data/
|
73 |
+
```
|
74 |
+
3. Create a virtual environment and install the required packages by running the following commands:
|
75 |
+
```bash
|
76 |
+
conda env create -f environment.yaml
|
77 |
+
conda activate protac-degradation-predictor
|
78 |
+
```
|
79 |
+
4. The code for training the model can be found in the file [`run_experiments.py`](src/run_experiments.py).
|
80 |
|
81 |
+
(Don't forget to adjust the `PYTHONPATH` environment variable to include the repository directory: `export PYTHONPATH=$PYTHONPATH:/path/to/PROTAC-Degradation-Predictor`)
|
|
|
|
|
82 |
|
83 |
## 📄 Citation
|
84 |
|
environment.yml
ADDED
@@ -0,0 +1,399 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
name: env-protac-degradation-predictor
|
2 |
+
channels:
|
3 |
+
- pyg
|
4 |
+
- anaconda
|
5 |
+
- pytorch
|
6 |
+
- huggingface
|
7 |
+
- nvidia
|
8 |
+
- conda-forge
|
9 |
+
- defaults
|
10 |
+
dependencies:
|
11 |
+
- _libgcc_mutex=0.1=main
|
12 |
+
- _openmp_mutex=5.1=1_gnu
|
13 |
+
- _py-xgboost-mutex=2.0=cpu_0
|
14 |
+
- abseil-cpp=20211102.0=h27087fc_1
|
15 |
+
- absl-py=1.4.0=pyhd8ed1ab_0
|
16 |
+
- accelerate=0.21.0=pyhd8ed1ab_0
|
17 |
+
- aiohttp=3.8.3=py310h5eee18b_0
|
18 |
+
- aiosignal=1.2.0=pyhd8ed1ab_0
|
19 |
+
- alembic=1.12.0=pyhd8ed1ab_0
|
20 |
+
- anyio=3.7.1=pyhd8ed1ab_0
|
21 |
+
- arrow=1.2.3=pyhd8ed1ab_0
|
22 |
+
- arrow-cpp=11.0.0=py310h7516544_0
|
23 |
+
- async-timeout=4.0.2=pyhd8ed1ab_0
|
24 |
+
- aws-c-common=0.4.57=he1b5a44_1
|
25 |
+
- aws-c-event-stream=0.1.6=h72b8ae1_3
|
26 |
+
- aws-checksums=0.1.9=h346380f_0
|
27 |
+
- aws-sdk-cpp=1.8.185=hce553d0_0
|
28 |
+
- backports=1.0=pyhd8ed1ab_3
|
29 |
+
- backports.functools_lru_cache=1.6.5=pyhd8ed1ab_0
|
30 |
+
- beautifulsoup4=4.12.2=pyha770c72_0
|
31 |
+
- binaryornot=0.4.4=py_1
|
32 |
+
- blas=1.0=mkl
|
33 |
+
- blessed=1.19.1=pyhe4f9e05_2
|
34 |
+
- blinker=1.6.2=pyhd8ed1ab_0
|
35 |
+
- boltons=23.0.0=pyhd8ed1ab_0
|
36 |
+
- boost-cpp=1.73.0=h7f8727e_12
|
37 |
+
- bottleneck=1.3.5=py310ha9d4c09_0
|
38 |
+
- brotlipy=0.7.0=py310h5764c6d_1004
|
39 |
+
- bzip2=1.0.8=h7f98852_4
|
40 |
+
- c-ares=1.19.0=h5eee18b_0
|
41 |
+
- ca-certificates=2023.08.22=h06a4308_0
|
42 |
+
- cachecontrol=0.12.14=pyhd8ed1ab_0
|
43 |
+
- certifi=2023.7.22=py310h06a4308_0
|
44 |
+
- cffi=1.15.1=py310h5eee18b_3
|
45 |
+
- chardet=5.1.0=py310hff52083_0
|
46 |
+
- charset-normalizer=2.0.4=pyhd8ed1ab_0
|
47 |
+
- cleo=2.0.1=pyhd8ed1ab_0
|
48 |
+
- click=8.0.4=py310hff52083_0
|
49 |
+
- cmaes=0.10.0=pyhd8ed1ab_0
|
50 |
+
- colorama=0.4.6=pyhd8ed1ab_0
|
51 |
+
- colorlog=6.7.0=py310hff52083_1
|
52 |
+
- conda=23.7.4=py310hff52083_0
|
53 |
+
- conda-content-trust=0.1.3=pyhd8ed1ab_0
|
54 |
+
- conda-package-handling=1.9.0=py310h5eee18b_1
|
55 |
+
- cookiecutter=2.3.0=pyh1a96a4e_0
|
56 |
+
- crashtest=0.4.1=pyhd8ed1ab_0
|
57 |
+
- croniter=1.3.15=pyhd8ed1ab_0
|
58 |
+
- cryptography=38.0.1=py310h9ce1e76_0
|
59 |
+
- cuda-cudart=11.8.89=0
|
60 |
+
- cuda-cupti=11.8.87=0
|
61 |
+
- cuda-libraries=11.8.0=0
|
62 |
+
- cuda-nvrtc=11.8.89=0
|
63 |
+
- cuda-nvtx=11.8.86=0
|
64 |
+
- cuda-runtime=11.8.0=0
|
65 |
+
- dataclasses=0.8=pyhc8e2a94_3
|
66 |
+
- datasets=2.14.4=py_0
|
67 |
+
- dateutils=0.6.12=py_0
|
68 |
+
- dbus=1.13.0=h4e0c4b3_1000
|
69 |
+
- deepdiff=6.2.2=pyhd8ed1ab_0
|
70 |
+
- dill=0.3.6=pyhd8ed1ab_1
|
71 |
+
- distlib=0.3.7=pyhd8ed1ab_0
|
72 |
+
- dulwich=0.21.3=py310h5eee18b_0
|
73 |
+
- evaluate=0.2.2=pyhd8ed1ab_0
|
74 |
+
- exceptiongroup=1.1.3=pyhd8ed1ab_0
|
75 |
+
- expat=2.4.8=h27087fc_0
|
76 |
+
- fastapi=0.103.1=pyhd8ed1ab_0
|
77 |
+
- ffmpeg=4.3=hf484d3e_0
|
78 |
+
- filelock=3.9.0=pyhd8ed1ab_0
|
79 |
+
- freetype=2.12.1=h4a9f257_0
|
80 |
+
- frozenlist=1.3.3=py310h5eee18b_0
|
81 |
+
- fsspec=2023.4.0=pyh1a96a4e_0
|
82 |
+
- gflags=2.2.2=he1b5a44_1004
|
83 |
+
- giflib=5.2.1=h36c2ea0_2
|
84 |
+
- glog=0.5.0=h48cff8f_0
|
85 |
+
- gmp=6.2.1=h58526e2_0
|
86 |
+
- gmpy2=2.1.2=py310heeb90bb_0
|
87 |
+
- gnutls=3.6.15=he1e5248_0
|
88 |
+
- google-auth-oauthlib=0.4.1=py_2
|
89 |
+
- greenlet=1.1.2=py310hd8f1fbe_2
|
90 |
+
- grpc-cpp=1.46.1=h33aed49_1
|
91 |
+
- grpcio=1.42.0=py310hce63b2e_0
|
92 |
+
- h11=0.14.0=pyhd8ed1ab_0
|
93 |
+
- html5lib=1.1=pyh9f0ad1d_0
|
94 |
+
- huggingface_hub=0.16.4=py_0
|
95 |
+
- icu=58.2=hf484d3e_1000
|
96 |
+
- idna=3.4=pyhd8ed1ab_0
|
97 |
+
- importlib-metadata=6.8.0=pyha770c72_0
|
98 |
+
- importlib_metadata=6.8.0=hd8ed1ab_0
|
99 |
+
- importlib_resources=6.0.1=pyhd8ed1ab_0
|
100 |
+
- inquirer=3.1.3=pyhd8ed1ab_0
|
101 |
+
- intel-openmp=2023.1.0=hdb19cb5_46305
|
102 |
+
- itsdangerous=2.1.2=pyhd8ed1ab_0
|
103 |
+
- jaraco.classes=3.3.0=pyhd8ed1ab_0
|
104 |
+
- jeepney=0.8.0=pyhd8ed1ab_0
|
105 |
+
- jinja2=3.1.2=pyhd8ed1ab_1
|
106 |
+
- joblib=1.2.0=pyhd8ed1ab_0
|
107 |
+
- jpeg=9e=h166bdaf_1
|
108 |
+
- jsonpatch=1.32=pyhd8ed1ab_0
|
109 |
+
- jsonpointer=2.1=pyhd3eb1b0_0
|
110 |
+
- keyring=23.13.1=py310hff52083_0
|
111 |
+
- krb5=1.20.1=h568e23c_1
|
112 |
+
- lame=3.100=h7f98852_1001
|
113 |
+
- lcms2=2.12=h3be6417_0
|
114 |
+
- ld_impl_linux-64=2.38=h1181459_1
|
115 |
+
- lerc=3.0=h9c3ff4c_0
|
116 |
+
- libboost=1.73.0=h28710b8_12
|
117 |
+
- libbrotlicommon=1.0.9=h166bdaf_7
|
118 |
+
- libbrotlidec=1.0.9=h166bdaf_7
|
119 |
+
- libbrotlienc=1.0.9=h166bdaf_7
|
120 |
+
- libcublas=11.11.3.6=0
|
121 |
+
- libcufft=10.9.0.58=0
|
122 |
+
- libcufile=1.7.1.12=0
|
123 |
+
- libcurand=10.3.3.129=0
|
124 |
+
- libcurl=8.1.1=h91b91d3_2
|
125 |
+
- libcusolver=11.4.1.48=0
|
126 |
+
- libcusparse=11.7.5.86=0
|
127 |
+
- libdeflate=1.8=h7f98852_0
|
128 |
+
- libedit=3.1.20221030=h5eee18b_0
|
129 |
+
- libev=4.33=h516909a_1
|
130 |
+
- libevent=2.1.12=h8f2d780_0
|
131 |
+
- libffi=3.4.2=h7f98852_5
|
132 |
+
- libgcc-ng=11.2.0=h1234567_1
|
133 |
+
- libgfortran-ng=11.2.0=h00389a5_1
|
134 |
+
- libgfortran5=11.2.0=h1234567_1
|
135 |
+
- libgomp=11.2.0=h1234567_1
|
136 |
+
- libiconv=1.16=h516909a_0
|
137 |
+
- libidn2=2.3.4=h5eee18b_0
|
138 |
+
- libnghttp2=1.52.0=ha637b67_1
|
139 |
+
- libnpp=11.8.0.86=0
|
140 |
+
- libnvjpeg=11.9.0.86=0
|
141 |
+
- libpng=1.6.39=h5eee18b_0
|
142 |
+
- libprotobuf=3.20.3=he621ea3_0
|
143 |
+
- libssh2=1.10.0=ha56f1ee_2
|
144 |
+
- libstdcxx-ng=11.2.0=he4da1e4_16
|
145 |
+
- libtasn1=4.19.0=h5eee18b_0
|
146 |
+
- libthrift=0.15.0=h0d84882_2
|
147 |
+
- libtiff=4.5.0=hecacb30_0
|
148 |
+
- libunistring=0.9.10=h7f98852_0
|
149 |
+
- libuuid=1.41.5=h5eee18b_0
|
150 |
+
- libwebp=1.2.4=h11a3e52_1
|
151 |
+
- libwebp-base=1.2.4=h5eee18b_1
|
152 |
+
- libxgboost=1.5.1=cpu_h3d145d1_2
|
153 |
+
- lightning=2.0.4=pyhd8ed1ab_0
|
154 |
+
- lightning-cloud=0.5.38=pyhd8ed1ab_0
|
155 |
+
- lightning-utilities=0.9.0=pyhd8ed1ab_0
|
156 |
+
- lockfile=0.12.2=py_1
|
157 |
+
- lz4-c=1.9.4=h6a678d5_0
|
158 |
+
- mako=1.2.4=pyhd8ed1ab_0
|
159 |
+
- markdown=3.4.4=pyhd8ed1ab_0
|
160 |
+
- markdown-it-py=3.0.0=pyhd8ed1ab_0
|
161 |
+
- markupsafe=2.1.1=py310h5764c6d_1
|
162 |
+
- mdurl=0.1.0=pyhd8ed1ab_0
|
163 |
+
- mkl=2023.1.0=h213fc3f_46343
|
164 |
+
- mkl-service=2.4.0=py310h5eee18b_1
|
165 |
+
- mkl_fft=1.3.6=py310h1128e8f_1
|
166 |
+
- mkl_random=1.2.2=py310h1128e8f_1
|
167 |
+
- more-itertools=10.1.0=pyhd8ed1ab_0
|
168 |
+
- mpc=1.1.0=h04dde30_1009
|
169 |
+
- mpfr=4.0.2=he80fd80_1
|
170 |
+
- mpmath=1.3.0=pyhd8ed1ab_0
|
171 |
+
- msgpack-python=1.0.3=py310hbf28c38_1
|
172 |
+
- multidict=6.0.2=py310h5764c6d_1
|
173 |
+
- multiprocess=0.70.14=py310h06a4308_0
|
174 |
+
- ncurses=6.3=h27087fc_1
|
175 |
+
- nettle=3.7.3=hbbd107a_1
|
176 |
+
- networkx=3.1=pyhd8ed1ab_0
|
177 |
+
- numexpr=2.8.4=py310h85018f9_1
|
178 |
+
- numpy=1.25.2=py310h5f9d8c6_0
|
179 |
+
- numpy-base=1.25.2=py310hb5e798b_0
|
180 |
+
- oauthlib=3.2.2=pyhd8ed1ab_0
|
181 |
+
- openh264=2.1.1=h780b84a_0
|
182 |
+
- openssl=1.1.1w=h7f8727e_0
|
183 |
+
- optuna=3.3.0=pyhd8ed1ab_0
|
184 |
+
- orc=1.7.4=hb3bc3d3_1
|
185 |
+
- ordered-set=4.1.0=pyhd8ed1ab_0
|
186 |
+
- packaging=23.0=pyhd8ed1ab_0
|
187 |
+
- pandas=1.5.3=py310h1128e8f_0
|
188 |
+
- pexpect=4.8.0=pyh1a96a4e_2
|
189 |
+
- pillow=9.4.0=py310h6a678d5_0
|
190 |
+
- pip=22.3.1=pyhd8ed1ab_0
|
191 |
+
- pkginfo=1.9.6=pyhd8ed1ab_0
|
192 |
+
- pkgutil-resolve-name=1.3.10=pyhd8ed1ab_1
|
193 |
+
- platformdirs=2.6.2=pyhd8ed1ab_0
|
194 |
+
- poetry=1.4.2=linux_pyhd8ed1ab_0
|
195 |
+
- poetry-core=1.5.2=pyhd8ed1ab_0
|
196 |
+
- poetry-plugin-export=1.3.1=pyhd8ed1ab_0
|
197 |
+
- protobuf=3.20.3=py310h6a678d5_0
|
198 |
+
- psutil=5.9.0=py310h5764c6d_1
|
199 |
+
- ptyprocess=0.7.0=pyhd3deb0d_0
|
200 |
+
- py-xgboost=1.5.1=cpu_py310hd1aba9c_2
|
201 |
+
- pyarrow=11.0.0=py310h468efa6_0
|
202 |
+
- pyasn1=0.4.8=py_0
|
203 |
+
- pyasn1-modules=0.2.7=py_0
|
204 |
+
- pycosat=0.6.4=py310h5eee18b_0
|
205 |
+
- pycparser=2.21=pyhd8ed1ab_0
|
206 |
+
- pydantic=1.9.1=py310h5764c6d_0
|
207 |
+
- pyg=2.3.1=py310_torch_2.0.0_cu118
|
208 |
+
- pygments=2.16.1=pyhd8ed1ab_0
|
209 |
+
- pyjwt=2.8.0=pyhd8ed1ab_0
|
210 |
+
- pyopenssl=22.0.0=pyhd8ed1ab_1
|
211 |
+
- pyparsing=3.0.9=py310h06a4308_0
|
212 |
+
- pyproject_hooks=1.0.0=pyhd8ed1ab_0
|
213 |
+
- pyrsistent=0.18.1=py310h5764c6d_1
|
214 |
+
- pysocks=1.7.1=pyha2e5f31_6
|
215 |
+
- python=3.10.8=h7a1cb2a_1
|
216 |
+
- python-build=0.10.0=pyhd8ed1ab_1
|
217 |
+
- python-dateutil=2.8.2=pyhd8ed1ab_0
|
218 |
+
- python-editor=1.0.4=py_0
|
219 |
+
- python-installer=0.7.0=pyhd8ed1ab_0
|
220 |
+
- python-multipart=0.0.6=pyhd8ed1ab_0
|
221 |
+
- python-slugify=8.0.1=pyhd8ed1ab_0
|
222 |
+
- python-xxhash=2.0.2=py310h6acc77f_1
|
223 |
+
- python_abi=3.10=2_cp310
|
224 |
+
- pytorch=2.0.1=py3.10_cuda11.8_cudnn8.7.0_0
|
225 |
+
- pytorch-cuda=11.8=h7e8668a_5
|
226 |
+
- pytorch-lightning=2.0.9=pyhd8ed1ab_0
|
227 |
+
- pytorch-mutex=1.0=cuda
|
228 |
+
- pytz=2022.7.1=pyhd8ed1ab_0
|
229 |
+
- pyu2f=0.1.5=pyhd8ed1ab_0
|
230 |
+
- pyyaml=6.0=py310h5764c6d_4
|
231 |
+
- rapidfuzz=2.13.7=py310h1128e8f_0
|
232 |
+
- re2=2022.04.01=h27087fc_0
|
233 |
+
- readchar=4.0.5=pyhd8ed1ab_0
|
234 |
+
- readline=8.2=h5eee18b_0
|
235 |
+
- regex=2022.7.9=py310h5eee18b_0
|
236 |
+
- requests-oauthlib=1.3.1=pyhd8ed1ab_0
|
237 |
+
- requests-toolbelt=0.10.1=pyhd8ed1ab_0
|
238 |
+
- responses=0.18.0=pyhd8ed1ab_0
|
239 |
+
- rich=13.5.1=pyhd8ed1ab_0
|
240 |
+
- rsa=4.9=pyhd8ed1ab_0
|
241 |
+
- ruamel.yaml=0.17.21=py310h5764c6d_1
|
242 |
+
- ruamel.yaml.clib=0.2.6=py310h5764c6d_1
|
243 |
+
- sacremoses=master=py_0
|
244 |
+
- scikit-learn=1.2.0=py310h6a678d5_1
|
245 |
+
- scipy=1.9.3=py310h5f9d8c6_2
|
246 |
+
- secretstorage=3.3.3=py310hff52083_1
|
247 |
+
- setuptools=65.5.0=pyhd8ed1ab_0
|
248 |
+
- shellingham=1.5.3=pyhd8ed1ab_0
|
249 |
+
- six=1.16.0=pyh6c4a22f_0
|
250 |
+
- snappy=1.1.9=hbd366e4_1
|
251 |
+
- sniffio=1.3.0=pyhd8ed1ab_0
|
252 |
+
- soupsieve=2.5=pyhd8ed1ab_1
|
253 |
+
- sqlalchemy=1.4.36=py310h5764c6d_0
|
254 |
+
- sqlite=3.40.0=h5082296_0
|
255 |
+
- starlette=0.27.0=pyhd8ed1ab_0
|
256 |
+
- starsessions=1.3.0=pyhd8ed1ab_0
|
257 |
+
- sympy=1.11.1=pyh04b8f61_3
|
258 |
+
- tabulate=0.9.0=pyhd8ed1ab_1
|
259 |
+
- tbb=2021.8.0=hdb19cb5_0
|
260 |
+
- tensorboard=2.6.0=py_0
|
261 |
+
- tensorboard-plugin-wit=1.8.1=pyhd8ed1ab_0
|
262 |
+
- text-unidecode=1.3=py_0
|
263 |
+
- threadpoolctl=2.2.0=pyh0d69192_0
|
264 |
+
- tk=8.6.12=h1ccaba5_0
|
265 |
+
- tokenizers=0.13.2=py310he7d60b5_1
|
266 |
+
- tomli=2.0.1=pyhd8ed1ab_0
|
267 |
+
- tomlkit=0.12.1=pyha770c72_0
|
268 |
+
- toolz=0.12.0=pyhd8ed1ab_0
|
269 |
+
- torchaudio=2.0.2=py310_cu118
|
270 |
+
- torchmetrics=1.1.2=pyhd8ed1ab_0
|
271 |
+
- torchtriton=2.0.0=py310
|
272 |
+
- torchvision=0.15.2=py310_cu118
|
273 |
+
- tqdm=4.64.1=pyhd8ed1ab_0
|
274 |
+
- transformers=4.29.2=pyhd8ed1ab_0
|
275 |
+
- trove-classifiers=2023.8.7=pyhd8ed1ab_0
|
276 |
+
- typing-extensions=4.7.1=hd8ed1ab_0
|
277 |
+
- typing_extensions=4.7.1=pyha770c72_0
|
278 |
+
- tzdata=2022g=h191b570_0
|
279 |
+
- unidecode=1.3.6=pyhd8ed1ab_0
|
280 |
+
- urllib3=1.26.13=pyhd8ed1ab_0
|
281 |
+
- utf8proc=2.6.1=h27cfd23_0
|
282 |
+
- uvicorn=0.23.2=py310hff52083_0
|
283 |
+
- virtualenv=20.21.1=pyhd8ed1ab_0
|
284 |
+
- wcwidth=0.2.6=pyhd8ed1ab_0
|
285 |
+
- webencodings=0.5.1=pyhd8ed1ab_2
|
286 |
+
- websockets=10.3=py310h5764c6d_0
|
287 |
+
- werkzeug=2.3.6=pyhd8ed1ab_0
|
288 |
+
- wheel=0.37.1=pyhd8ed1ab_0
|
289 |
+
- xxhash=0.8.0=h7f98852_3
|
290 |
+
- xz=5.2.8=h5eee18b_0
|
291 |
+
- yaml=0.2.5=h7f98852_2
|
292 |
+
- yarl=1.8.1=py310h5eee18b_0
|
293 |
+
- zipp=3.16.2=pyhd8ed1ab_0
|
294 |
+
- zlib=1.2.13=h5eee18b_0
|
295 |
+
- zstd=1.5.2=ha4553b6_0
|
296 |
+
- pip:
|
297 |
+
- appdirs==1.4.4
|
298 |
+
- argon2-cffi==23.1.0
|
299 |
+
- argon2-cffi-bindings==21.2.0
|
300 |
+
- asttokens==2.4.1
|
301 |
+
- async-lru==2.0.4
|
302 |
+
- attrs==23.2.0
|
303 |
+
- babel==2.14.0
|
304 |
+
- bleach==6.1.0
|
305 |
+
- cachetools==4.2.4
|
306 |
+
- comm==0.2.2
|
307 |
+
- contourpy==1.2.1
|
308 |
+
- cycler==0.12.1
|
309 |
+
- debugpy==1.8.1
|
310 |
+
- decorator==5.1.1
|
311 |
+
- defusedxml==0.7.1
|
312 |
+
- docker-pycreds==0.4.0
|
313 |
+
- docstring-parser==0.15
|
314 |
+
- executing==2.0.1
|
315 |
+
- fastjsonschema==2.19.1
|
316 |
+
- fonttools==4.51.0
|
317 |
+
- fqdn==1.5.1
|
318 |
+
- gitdb==4.0.11
|
319 |
+
- gitpython==3.1.42
|
320 |
+
- google-auth==1.35.0
|
321 |
+
- h5py==3.10.0
|
322 |
+
- httpcore==1.0.5
|
323 |
+
- httpx==0.27.0
|
324 |
+
- imbalanced-learn==0.12.0
|
325 |
+
- iniconfig==2.0.0
|
326 |
+
- ipykernel==6.29.4
|
327 |
+
- ipython==8.23.0
|
328 |
+
- ipywidgets==8.1.2
|
329 |
+
- isoduration==20.11.0
|
330 |
+
- jedi==0.19.1
|
331 |
+
- json5==0.9.25
|
332 |
+
- jsonargparse==4.23.1
|
333 |
+
- jsonschema==4.21.1
|
334 |
+
- jsonschema-specifications==2023.12.1
|
335 |
+
- jupyter==1.0.0
|
336 |
+
- jupyter-client==8.6.1
|
337 |
+
- jupyter-console==6.6.3
|
338 |
+
- jupyter-core==5.7.2
|
339 |
+
- jupyter-events==0.10.0
|
340 |
+
- jupyter-lsp==2.2.5
|
341 |
+
- jupyter-server==2.14.0
|
342 |
+
- jupyter-server-terminals==0.5.3
|
343 |
+
- jupyterlab==4.1.6
|
344 |
+
- jupyterlab-pygments==0.3.0
|
345 |
+
- jupyterlab-server==2.26.0
|
346 |
+
- jupyterlab-widgets==3.0.10
|
347 |
+
- kiwisolver==1.4.5
|
348 |
+
- llvmlite==0.42.0
|
349 |
+
- matplotlib==3.8.4
|
350 |
+
- matplotlib-inline==0.1.7
|
351 |
+
- mistune==3.0.2
|
352 |
+
- nbclient==0.10.0
|
353 |
+
- nbconvert==7.16.3
|
354 |
+
- nbformat==5.10.4
|
355 |
+
- nest-asyncio==1.6.0
|
356 |
+
- nltk==3.8.1
|
357 |
+
- notebook==7.1.3
|
358 |
+
- notebook-shim==0.2.4
|
359 |
+
- numba==0.59.1
|
360 |
+
- overrides==7.7.0
|
361 |
+
- pandocfilters==1.5.1
|
362 |
+
- parso==0.8.4
|
363 |
+
- pluggy==1.5.0
|
364 |
+
- prometheus-client==0.20.0
|
365 |
+
- prompt-toolkit==3.0.43
|
366 |
+
- pure-eval==0.2.2
|
367 |
+
- pynndescent==0.5.12
|
368 |
+
- pynvml==11.5.0
|
369 |
+
- pytest==8.1.1
|
370 |
+
- python-json-logger==2.0.7
|
371 |
+
- pyzmq==26.0.1
|
372 |
+
- qtconsole==5.5.1
|
373 |
+
- qtpy==2.4.1
|
374 |
+
- rdkit==2023.9.5
|
375 |
+
- rdkit-pypi==2022.9.5
|
376 |
+
- referencing==0.34.0
|
377 |
+
- requests==2.31.0
|
378 |
+
- rfc3339-validator==0.1.4
|
379 |
+
- rfc3986-validator==0.1.1
|
380 |
+
- rouge-score==0.1.2
|
381 |
+
- rpds-py==0.18.0
|
382 |
+
- seaborn==0.13.2
|
383 |
+
- send2trash==1.8.3
|
384 |
+
- sentry-sdk==1.41.0
|
385 |
+
- setproctitle==1.3.3
|
386 |
+
- smmap==5.0.1
|
387 |
+
- stack-data==0.6.3
|
388 |
+
- tensorboard-data-server==0.6.1
|
389 |
+
- terminado==0.18.1
|
390 |
+
- tinycss2==1.2.1
|
391 |
+
- tornado==6.4
|
392 |
+
- traitlets==5.14.3
|
393 |
+
- typeshed-client==2.3.0
|
394 |
+
- umap-learn==0.5.6
|
395 |
+
- uri-template==1.3.0
|
396 |
+
- wandb==0.16.4
|
397 |
+
- webcolors==1.13
|
398 |
+
- websocket-client==1.7.0
|
399 |
+
- widgetsnbextension==4.0.10
|