This is README file Welcome to PaCS-Q v1.2.6 by L.Duan 2025.11.11 github: https://github.com/nyelidl/PaCS-Q
PaCS-Q is a Python toolkit designed to assist with Parallel Cascade Selection simulations (PaCS) for studying protein structural transitions in MD and QM/MM MD level.
Please cite paper: Lian Duan, Kowit Hengphasatporn, Ryuhei Harada, Yasuteru Shigeta. JCTC https://doi.org/10.1021/acs.jctc.5c00169 Lian Duan, Kowit Hengphasatporn, Yasuteru Shigeta. JCIM https://doi.org/10.1021/acs.jcim.5c00936
██████╗░░█████╗░░█████╗░░██████╗░░░░░░░░░██████╗░
██╔══██╗██╔══██╗██╔══██╗██╔════╝░░░░░░░░██╔═══██╗
██████╔╝███████║██║░░╚═╝╚█████╗░░█████╗║██╗██░██║
██╔═══╝░██╔══██║██║░░██╗░╚═══██╗░╚════╝░╚██████╔╝
██║░░░░░██║░░██║╚█████╔╝██████╔╝░░░░░░░░░╚═██╔═╝░
╚═╝░░░░░╚═╝░░╚═╝░╚════╝░╚═════╝░░░░░░░░░░░░╚═╝░░░
##Prerequisites #Before installing and running PaCS-Q, ensure you have the following:
- AMBER (version 22 or later) compiled with MPI support
- Miniconda (for environment management)
- Python packages:
##Installation #1. Clone or Download the Toolkit #Using the following command:
wget https://github.com/DLCCS/PaCS-Q/archive/refs/heads/main.zip
unzip main.zip
mv PaCS-Q-main PaCS-Q
```Or clone it using Git:
git clone https://github.com/DLCCS/PaCS-Q.git
#2. Export the Path in ~/.bashrc
export PATH="/path/to/PaCS-Q:$PATH"
export PATH="/path/to/PaCS-Q/pacsq_toolkit:$PATH"
source ~/.bashrc
#3.Create and Activate Conda Environment
conda create -n pacs-q
conda init
conda activate pacs-q
#4. Install Required Python Packages
pip install MDAnalysis biopython
#5. Input Files
- For LB-PaCS-MD (Distance-based PaCS-Q)
Topology file from (.top) tLEaP and the coordinate file (.rst or .crd) obtained from after heating up step.
You can adjust any MD parameter in "md.in".
- For QM/MM MD (RMSD-based PaCS-Q)
In this simulation we need to prepare initial and reference structures, as follows.
Topology file from tLEaP (.top), the coordinate file (.rst or .crd) obtained from after heating up step, and reference structure in PDB file format (.pdb).
You can adjust any MD parameter in "qmmm.in".
#6. Extend and Generate Trajectory
- To extend the simulation, please use "--rerun" in the command line.
- To generate the trajectory and the lastframe in pdb file, please use "cpp.sh" and "pdb_last.sh".
- To clean all of MD directory, please use "clean.sh".
#7. MD Analysis
- Generate CV and 2D-PES by "pacsana_dis_collection.py"
- PCA analysis by "pacsana_procupine.py"
- Create QM input from PaCS-Q Trajectory "pacsana_QM_input.py"
**##For More Detail of PaCS-Q Usage:**
PaCS-Q -h
Metadata
Release files for PaCS-Q 1.2.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pacs_q-1.2.6.tar.gz | 18.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pacs_q-1.2.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 54.9 kB
Release files / pacs_q-1.2.6.tar.gz
| Download URL | pacs_q-1.2.6.tar.gz |
|---|---|
| Size | 18.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
edba81e41fb02d7444f1e33d043cf6358846a663ae61a249816209383cf40191
|
|
BLAKE2b-256 checksum How to use checksums |
21cb8769291ca0313eeda0e9a786f8cafa55c65fb49e77f2b1bc5a099a5d512f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.2
|
Release files / pacs_q-1.2.6-py3-none-any.whl
| Download URL | pacs_q-1.2.6-py3-none-any.whl |
|---|---|
| Size | 36.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
f96b5dd06226ebae950b90aa9de2fbbb0b7cf072d3e5fc66a96ab8111d611027
|
|
BLAKE2b-256 checksum How to use checksums |
e6a0169849ffe946b5f1a6018f5d87888aac515def73142899fda40435a8b5a0
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.2
|