Shell Quant Qualifier for water-shell topology analysis in MD trajectories.
Project description
SQQ
SQQ (Shell Quant Qualifier) analyzes water-shell topology in molecular dynamics frames.
It builds a water network, finds rings, standard half-cages, quasi-cages, closed cages, cage guest occupancy, F3/F4 metrics, and ice-like waters. Detailed algorithms are documented in docs/design.md; version notes are documented in docs/update.md.
Install
Install the released package from PyPI:
pip install sqq
Upgrade an existing installation:
pip install -U sqq
For local development from a source checkout:
pip install -e .
Then use:
sqq -h
sqq init -o config.yaml
sqq analyze -i ./gro -c config.yaml -o ./result_sqq
During source-tree development without installation:
python -m sqq analyze -i ./gro -c config.yaml -o ./result_sqq
Quick Start
Single GRO file:
sqq analyze -i test1.gro -o ./result_sqq
Directory of GRO files:
sqq analyze -i ./gro --pattern "*.gro" -o ./result_sqq
Glob pattern:
sqq analyze -i "./gro/*.gro" -o ./result_sqq
XTC/TRR trajectory with a topology file:
sqq analyze -i traj.xtc --top topol.gro -c config.yaml -o ./result_sqq
Common Commands
Write a default configuration file:
sqq init -o config.yaml
Analyze 4/5/6 rings, quasi-cages, and cages:
sqq analyze -i md.gro --sizes 4,5,6 -o ./result_sqq_456
Enable outer quasi-cage layers:
sqq analyze -i md.gro --quasi-max-layers 3 -o ./result_sqq_l3
Disable structure GRO output and keep only reports:
sqq analyze -i md.gro --no-gro -o ./result_sqq_report
Parallelize independent GRO/XYZ files:
sqq analyze -i ./gro --pattern "*.gro" --n-jobs 4 -o ./result_sqq
Important Defaults
graph:
bond_mode: auto
oo_cutoff_nm: 0.35
hbond_distance_nm: 0.35
hbond_angle_deg: 30.0
ring:
sizes: [5, 6]
chordless: true
quasi_cage:
enabled: true
base_sizes: auto
side_sizes: auto
max_layers: 1
cage:
enabled: true
ring_sizes: [5, 6]
target_types: [512, 51262, 51263, 51264]
output_other: false
search_mode: grow
seed_mode: ring
occupancy_mode: polyhedron
output:
write_info: true
write_gro: true
write_xlsx_summary: true
structure_layout: grouped
Configuration priority:
built-in defaults < config.yaml < command-line options
Useful Options
| Option | Meaning |
|---|---|
-i, --input |
Input file, directory, or glob pattern |
--pattern "*.gro" |
File pattern for directory input |
--top topol.gro |
Topology/structure file for XTC/TRR input |
-c, --config config.yaml |
User configuration file |
-o, --output DIR |
Output directory |
--sizes 4,5,6 |
Set ring, quasi-cage, and cage ring sizes together |
--ring-sizes 4,5,6 |
Override only ring search sizes |
--quasi-sizes 4,5,6 |
Override quasi-cage base and side sizes |
--quasi-max-layers N |
Report quasi-cage layers up to N; default is 1 |
--cage-sizes 4,5,6 |
Override cage face sizes |
--other-cages |
Include generated unconventional 4/5/6 cage targets |
--no-gro |
Disable all structure GRO files |
--no-xlsx |
Disable summary.xlsx |
--output-layout flat |
Write all per-frame GRO files in one folder |
Output Structure
SQQ writes one folder per frame plus a global workbook:
result_sqq/
summary.xlsx
run_config.yaml
test1/
test1_info.md
ring/
test1_ring_5.gro
test1_ring_6.gro
half_cage/
hc_5r_5^5/
test1_hc_5r_5^5.gro
quasi_cage/
qc_5r_5^3-6^2_55566/
test1_qc_5r_5^3-6^2_55566.gro
cage/
5^12/
test1_cage_5^12.gro
test1_cage_5^12_empty.gro
test1_cage_5^12_occupied.gro
ice/
test1_ice.gro
Output ownership is:
cage > quasi_cage > half_cage > ring
Cage files include cage waters, CNT center atoms, and assigned guests. Exact guest-composition files are generated from the guest names present in the frame, such as CH4, CH4x2, or CH4+CO2.
See docs/design.md for algorithm details and docs/update.md for release changes.
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