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GitHub / plissonf / ML-guided-discovery-and-design-of-non-hemolytic-peptides

Classification models for hemolytic nature and hemolytic activity predictions in peptide/protein sequences

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/plissonf%2FML-guided-discovery-and-design-of-non-hemolytic-peptides

Stars: 9
Forks: 7
Open Issues: 16

License: mit
Language: Jupyter Notebook
Repo Size: 26.2 MB
Dependencies: 98

Created: almost 4 years ago
Updated: over 1 year ago
Last pushed: over 1 year ago
Last synced: 12 months ago

Topics: antimicrobial-peptides, applicability-domain, de-novo-design, hemolytic-peptides, machine-learning-algorithms, qsar

Files

Readme

Dependencies

requirements.txt pypi

CacheControl ==0.12.3
Jinja2 ==2.9.6
Keras-Applications ==1.0.6
Keras-Preprocessing ==1.0.5
Markdown ==3.0.1
MarkupSafe ==1.0
Pillow ==4.2.1
Pygments ==2.2.0
absl-py ==0.6.1
appnope ==0.1.0
astor ==0.7.1
backports-abc ==0.5
backports.functools-lru-cache ==1.5
backports.shutil-get-terminal-size ==1.0.0
backports.ssl-match-hostname ==3.5.0.1
backports.weakref ==1.0.post1
beautifulsoup4 ==4.7.1
bleach ==1.5.0
bz2file ==0.98
certifi ==2016.2.28
configparser ==3.5.0
contextlib2 ==0.5.5
cycler ==0.10.0
decorator ==4.1.2
entrypoints ==0.2.3
enum34 ==1.1.6
funcsigs ==1.0.2
functools32 ==3.2.3.post2
future ==0.16.0
futures ==3.2.0
gast ==0.2.0
grpcio ==1.16.0
h5py ==2.8.0
html5lib ==0.9999999
imbalanced-learn ==0.3.3
ipykernel ==4.6.1
ipython ==5.3.0
ipython-genutils ==0.2.0
joblib ==0.14.0
jsonschema ==2.6.0
jupyter-client ==5.1.0
jupyter-core ==4.3.0
llvmlite ==0.30.0
lockfile ==0.12.2
logging ==0.5.1.2
lxml ==4.3.0
matplotlib ==2.0.2
mistune ==0.7.4
mock ==2.0.0
modlamp ==3.4.3
msgpack-python ==0.4.8
mysql-connector ==2.2.9
natsort ==5.1.0
nbconvert ==5.2.1
nbformat ==4.4.0
nose ==1.3.7
notebook ==5.0.0
numba ==0.46.0
numpy ==1.17.3
olefile ==0.44
pandas ==0.20.3
pandocfilters ==1.4.2
pathlib2 ==2.3.0
patsy ==0.4.1
pbr ==5.1.1
pexpect ==4.2.1
pickleshare ==0.7.4
prompt-toolkit ==1.0.15
protobuf ==3.6.1
ptyprocess ==0.5.2
pyparsing ==2.2.0
python-dateutil ==2.6.1
pytz ==2017.2
pyzmq ==16.0.2
re ==2.2.1
requests ==2.14.2
rpy2 ==2.8.6
scandir ==1.5
scikit-bio ==0.4.2
scikit-learn ==0.22
scipy ==1.1.0
seaborn ==0.8
simplegeneric ==0.8.1
singledispatch ==3.4.0.3
six ==1.11.0
soupsieve ==1.7.3
statsmodels ==0.8.0
subprocess32 ==3.2.7
tensorboard ==1.12.0
tensorflow ==1.12.0
termcolor ==1.1.0
terminado ==0.6
testpath ==0.3
textdistance ==4.1.4
tornado ==4.5.2
traitlets ==4.3.2
wcwidth ==0.1.7
xgboost ==0.82