Giter Club home page Giter Club logo

qsar-models-for-kaop-prediction's Introduction

QSAR-models-for-kaop-prediction

This repository contains the data and scripts involved in the publication:

Unveiling similarities and differences in oxidation processes of oxidants and derived reactive oxygen species through machine learning interpretation of oxidation rate constants

Environment requirements:

Python 3.8.16:

Model construction

R 4.2.1

Visualization

Code files:

The workflow.ipynb:

The workflow for QSAR models construction and evaluation, applicability domain and model interpretation. Visualization for model interpretation. (.OH as an example for all processes)

viz.R:

Visualization for workflow. (.OH as an example for all processes)

Software:

Vs code:

Code Editor for The workflow.ipynb

R studio:

Code Editor for viz.R

Rdkit package:

Calculation for Morgan and MACCS molecular fingerprints

PaDEL-Descriptor software:

Calculation for CDK, Ext, Graph, Estate, Pub, Sub, SubC, KR, KRC, AP2D, and AP2DC molecular fingerprints.

Scikit-learn package:

Construction of models SVM, KNN, DT, RF, and GBDT.

xgboost package:

Construction of model XGB.

scikit-opt:

Optimization of hyperparameter.

shap package:

Interpretation of models.

qsar-models-for-kaop-prediction's People

Contributors

lzhzzzzwill avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.