Metadata-Version: 2.3
Name: Chrfinder
Version: 0.0.2
Summary: The package find the best chromatography based on properties of the mixture
Project-URL: source, https://github.com/Averhv/Chrfinder
Project-URL: tracker, https://github.com/Averhv/Chrfinder/issues
Author-email: Anthony Verhoeven <anthony.verhoeven@epfl.ch>
License: MIT License
        
        Copyright (c) 2024 by Diogo Santos Martins <diogo.santosmartins@epfl.ch>
        
        Permission is hereby granted, free of charge, to any person obtaining a copy
        of this software and associated documentation files (the "Software"), to deal
        in the Software without restriction, including without limitation the rights
        to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
        copies of the Software, and to permit persons to whom the Software is
        furnished to do so, subject to the following conditions:
        
        The above copyright notice and this permission notice shall be included in all
        copies or substantial portions of the Software.
        
        THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
        IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
        FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
        AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
        LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
        OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
        SOFTWARE.
License-File: LICENSE
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Python: >=3.10
Requires-Dist: pandas
Requires-Dist: pubchempy
Requires-Dist: tk
Requires-Dist: urllib3
Provides-Extra: doc
Requires-Dist: furo; extra == 'doc'
Requires-Dist: myst-parser; extra == 'doc'
Requires-Dist: sphinx-copybutton; extra == 'doc'
Requires-Dist: sphinx>=5; extra == 'doc'
Provides-Extra: test
Requires-Dist: genbadge[coverage]; extra == 'test'
Requires-Dist: hypothesis; extra == 'test'
Requires-Dist: pytest; extra == 'test'
Requires-Dist: pytest-cov; extra == 'test'
Requires-Dist: tox; extra == 'test'
Description-Content-Type: text/markdown

<p align="center">
  <img src="assets/Image_Chrfinder.webp" alt="Project Logo" width="650"/>
</p>

# Chrfinder

## <ins>Project overview</ins>

<h1 align="center">
    
[![PyPI version](https://img.shields.io/pypi/v/Chrfinder?style=plastic&color=blue)](https://pypi.python.org/pypi/Chrfinder) [![License](https://img.shields.io/github/license/Averhv/Chrfinder?style=plastic&color=Orange)](https://github.com/Averhv/Chrfinder/blob/master/LICENSE) <img alt="PyPI - Python Version" src="https://img.shields.io/pypi/pyversions/Chrfinder?style=plastic" />
</h1>

Welcome to **Chrfinder**! This project **automates the selection of the most suitable chromatography** technique . By simply providing the **names** of the molecules in the mixture, the code retrieves their physicochemical properties from **PubChem** (web source) and determines the optimal chromatography method based on these properties. It also gives the optimal conditions.

## ✅ <ins>Benefits</ins>

- **🚀 Efficiency**: Automates the property retrieval and decision-making process, saving time and reducing manual effort.
- **🎯 Accuracy**: Utilizes precise physicochemical data to ensure the most suitable chromatography technique is chosen.
- **🌐 Versatility**: Supports a wide range of organic compounds and chromatography methods (PubChem database).


## ⚙ <ins>Installation</ins>

Create a new environment, you may also give the environment a different name. 

```bash
conda create -n chrfinder python=3.10 
```

```bash
conda activate chrfinder
pip install Chrfinder
```

## 🛠️ <ins>Installation for Development</ins>

To get started with Chrfinder, you can follow these steps:
```bash
git clone https://github.com/Averhv/Chrfinder.git
cd Chrfinder
pip install .
pip install jupyterlab
jupyter lab
```
#### Optional: Installing for Development and Testing
If you want to contribute to Chrfinder or run the tests and get coverage, you can install the package in editable mode along with the necessary dependencies for testing and documentation:
```bash
git clone https://github.com/Averhv/Chrfinder.git
cd Chrfinder
pip install -e ".[test,doc]"
pip install jupyterlab
jupyter lab
```

Then you need to run the tests as follow in your terminal:
```bash
pip install tox
tox
```
One can also run the following to get better **readability**:
- runs tests for the Chrfinder.py file
- measures code coverage
- generates coverage reports in both XML and terminal formats
- provides verbose output during test execution.
```bash
pytest --cov=src/Chrfinder.py --cov-report xml:.tox/coverage.xml --cov-report term -vv
```
Test result: 15 passed in ~20s
## 📒 <ins>Features</ins>

```python
from chrfinder import main

# Running the whole file ask for molecules through Tkinter and returns the best chromatography
main()
```

#### 🌐 Optional functions

##### find_pka(inchikey)
Finds the pKa value for a compound using its InChIKey.
```python
from chrfinder import find_pka

inchikey = "XEFQLINVKFYRCS-UHFFFAOYSA-N"
find_pka(inchikey)
```

##### find_boiling_point(name)
Finds the boiling point for a compound by name.
```python
from chrfinder import find_boiling_point

compound_name = "Ethanol"
find_boiling_point(compound_name)
```

##### get_df_properties()
Get a DataFrame of properties for a mixture of compounds.
```python
from chrfinder import get_df_properties

mixture = ["Acetone", "Ethanol", "Methanol"]
get_df_properties(mixture, verbose=True)
```

## <ins>How It Works</ins>

1. **Input**: User provides the names of the molecules present in the mixture through a Tkinter interface.

2. **Data Retrieval**: Finds the following key physicochemical properties for each molecule in Pubchem:
     - **Boiling temperature (°C)**
     - **logP (partition coefficient)**
     - **pKa (acid dissociation constants)**
     - **Molecular mass**

3. **Chromatography Type Decision**: Follows logical conditions to determine best chromatography and conditions
   - **Gas Chromatography (GC)**: if the Boiling Point is low (T<sub>eb</sub> <250°C).
   - **Ion Chromatography (IC)**: for small molecules (M<2000g/mol) and a negative maximum LogP negative
     - Selected if the maximum molecular mass is less than or equal to 2000, and the maximum logP is negative, with a proposed pH derived from the pKa values.
   - **High-Performance Liquid Chromatography (HPLC)**: Chosen for different conditions. Stationary phases and eluent natures are suggested.
   - **Size Exclusion Chromatography (SEC)**: For big molecules (M>2000g/mol). From LogP, it suggest gel permeation or gel filtration, with corresponding eluant.

4. **Output**:
   - The code outputs the advisable chromatography type, the nature of the eluent (gas, aqueous, or organic), and the proposed pH for the eluent if applicable through the Tkinter interface.
  
## <ins>Work in progress...</ins>
- Build a data molecules thermostability database;
- taking into account multiple pKa values for polyacids for exemple;
- optimize the research: search only one time te same name;
- find physicalchemical properties as addition functionality;


## 🫱🏽‍🫲🏼 <ins>Contributing</ins>
Contributions are welcome! Please submit a pull request or open an issue to discuss any changes.

