A Toolkit for Identifying Transformation Product Structures of Emerging Contaminants Using HRMS Data
Project description
transformapy: A Toolkit for Identifying Transformation Product Structures of Emerging Contaminants Using HRMS Data
transformapy is a Python toolkit engineered to process molecular structures, pinpointing potential transformation products of specified compounds by leveraging observed monoisotopic masses.
Contributor: Rui Wang
First release date: Feb.28.2024
Update
Feb.29.2024: transformapy 0.0.2
Second version
fix some bugs
Dependencies
transformapy requires the following major dependencies:
rdkit
pyhrms
Features
transformapy provides the following functions:
Identifying Transformation Product Structures of Emerging Contaminants Using HRMS Data
Paper Published Utilizing transformapy
Preparing
Licensing
The package is open source and can be utilized under the MIT license. Please find the detail in the license file.
transformapy Documentation
Getting Started with transformapy
from transformapy.transformapy import *
Project Structure:
transformapy/
|- generate_possible_TP_structures
|- modify_chemical_formula
|- generate_fragments
|- calculate_formula_differences
|- calculate_changed_num
|- parse_formula
|- recursive_reaction
|- reaction_type
|- combine_fragments_and_generate_smiles
|- replace_dummies_with_hydrogens
|- replace_hydrogen_with_substituent
|- split_molecule_at_bond
|- Remove_2H
|- is_atom_in_double_bond
|- add_or_modify_bond
|- has_hydrogen_count
|- Add_2H
Acknowledgment
During the development of this package, Liu Huangrui from the South China Institute of Environmental Science offered essential support by conducting comprehensive tests on its functionality.
Note
Please note that the documentation is currently a work in progress, and there is more content that is being written. I apologize for any inconvenience this may cause, but rest assured that I am continually updating the documentation to provide you with the most comprehensive guide to using transformapy.
Project details
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