API Documentation¶
The Implicit Solvent DDM (Double Decoupling Method) package provides a comprehensive Python API for performing absolute binding free energy calculations using implicit solvent models. The API is organized into several key modules that handle different aspects of the workflow:
Core Workflow Modules:
- implicit_solvent_ddm.implicit_ddm_workflow - Main workflow orchestration and execution
- implicit_solvent_ddm.workflow_phases - Defines the different phases of the DDM cycle
- implicit_solvent_ddm.setup_simulations - Handles simulation setup and configuration
Simulation Management:
- implicit_solvent_ddm.runner.IntermidateRunner - Manages intermediate state simulations
- implicit_solvent_ddm.run_endstate - Handles end-state simulation execution
- implicit_solvent_ddm.simulations - Core simulation utilities and functions
Configuration and Control:
- implicit_solvent_ddm.config - Configuration file parsing and validation
- implicit_solvent_ddm.matrix_order.CycleSteps - Defines the thermodynamic cycle steps
Restraints and Alchemical Transformations:
- implicit_solvent_ddm.adaptive_restraints - Adaptive restraint application and management
- implicit_solvent_ddm.alchemical - Alchemical transformation protocols
- implicit_solvent_ddm.restraints - Restraint definitions and utilities
- implicit_solvent_ddm.restraint_helper - Helper functions for restraint calculations
File I/O and Analysis:
- implicit_solvent_ddm.mdin - AMBER input file generation and manipulation
- implicit_solvent_ddm.mdout - AMBER output file parsing and analysis
- implicit_solvent_ddm.pandasmbar - MBAR analysis integration with pymbar
- implicit_solvent_ddm.postTreatment - Post-processing and analysis utilities
This API enables researchers to programmatically set up, execute, and analyze implicit solvent binding free energy calculations with full control over the thermodynamic cycle parameters, restraint schemes, and analysis protocols.
Double Decoupling Method (DDM) workflow for free energy calculations. |
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Workflow phase functions for the Double Decoupling Method (DDM) workflow. |
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Setup simulations for the Double Decoupling Method (DDM) workflow. |
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Manages and executes MD simulations and post-analysis steps for a given system phase. |
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Functions that setup REMD, Basic MD or user defind endstate simulations. |
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Dataclass to make life a little easier, which defines config properties, sub-properties, and types in a config.py file. |
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Simple dataclass that arranges all the thermodyamic steps in the correct chronological order for the given system (i.e. complex, ligand, receptor). |
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A collection of functions that performs simple iterative proceess to improve space phase overlap between adjecent states. |
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Functions that perform alchemical transformations. |
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Simple functions to create all the required MD input files (i.e. 'mdin'). |
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Functions to parse an mdout file into a pandas Dataframe. |
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Functions to make applying pyMBAR to Pandas DataFrames easier. |
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class that will parse in pandas dataframe for mbar analysis |
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Helper functions used to construct conformational and orientational restraints. |
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Classes for Boresch, FlatBottom and conformational restraints. |
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Classes to setup different types of simulations (i.e. remd, basic md). |