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158 lines
5.8 KiB
JSON
158 lines
5.8 KiB
JSON
{
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"params": {
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"pdb": {
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"type": "file",
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"description": "Path to input PDB or mmCIF structure file(s) for binding affinity prediction",
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"default": "s3://omic/eureka/prodigy/*.pdb",
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"required": true,
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"pipeline_io": "input",
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"var_name": "params.pdb",
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"examples": [
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"s3://omic/eureka/prodigy/3bzd.pdb",
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"s3://omic/eureka/prodigy/*.pdb"
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],
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"pattern": ".*\\.(pdb|cif)$",
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"enum": [],
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"validation": {},
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"notes": "Input protein-protein complex structure in PDB or mmCIF format. Can be a single file or glob pattern for batch processing."
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},
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"outdir": {
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"type": "folder",
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"description": "Directory for PRODIGY prediction results",
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"default": "s3://omic/eureka/prodigy/output",
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"required": true,
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"pipeline_io": "output",
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"var_name": "params.outdir",
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"examples": [
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"s3://omic/eureka/prodigy/output",
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"s3://omic/eureka/prodigy/custom_output"
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],
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"pattern": ".*",
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"enum": [],
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"validation": {},
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"notes": "Directory where prediction results will be stored. Created if it does not exist."
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},
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"distance_cutoff": {
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"type": "float",
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"description": "Distance cutoff (Angstrom) for calculating intermolecular contacts",
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"default": 5.5,
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"required": false,
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"pipeline_io": "parameter",
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"var_name": "params.distance_cutoff",
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"examples": [
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5.5,
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4.0,
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6.0
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],
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"pattern": null,
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"enum": [],
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"validation": {
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"min": 1.0,
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"max": 20.0
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},
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"notes": "Default value of 5.5 Angstrom was optimized in Vangone & Bonvin (2015) eLife. This threshold includes different non-bonded interactions including salt bridges."
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},
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"acc_threshold": {
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"type": "float",
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"description": "Accessibility threshold for buried surface area (BSA) analysis",
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"default": 0.05,
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"required": false,
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"pipeline_io": "parameter",
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"var_name": "params.acc_threshold",
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"examples": [
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0.05,
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0.1
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],
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"pattern": null,
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"enum": [],
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"validation": {
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"min": 0.0,
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"max": 1.0
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},
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"notes": "Relative accessibility threshold used to identify surface residues for non-interacting surface (NIS) calculations."
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},
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"temperature": {
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"type": "float",
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"description": "Temperature (Celsius) for dissociation constant (Kd) prediction",
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"default": 25.0,
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"required": false,
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"pipeline_io": "parameter",
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"var_name": "params.temperature",
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"examples": [
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25.0,
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37.0,
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4.0
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],
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"pattern": null,
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"enum": [],
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"validation": {
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"min": -273.15,
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"max": 100.0
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},
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"notes": "Temperature used to convert predicted binding free energy (deltaG) to dissociation constant (Kd)."
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},
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"selection": {
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"type": "string",
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"description": "Chain selection for interface calculation",
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"default": "",
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"required": false,
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"pipeline_io": "parameter",
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"var_name": "params.selection",
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"examples": [
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"A B",
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"A,B C",
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"H,L A"
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],
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"pattern": null,
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"enum": [],
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"validation": {},
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"notes": "Specify chains to consider for binding affinity calculation. Format: 'A B' calculates contacts between chains A and B. 'A,B C' treats chains A and B as one molecule interacting with chain C. Useful for antibody-antigen complexes where heavy and light chains should be grouped."
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},
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"contact_list": {
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"type": "boolean",
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"description": "Output list of intermolecular contacts",
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"default": false,
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"required": false,
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"pipeline_io": "parameter",
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"var_name": "params.contact_list",
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"examples": [
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true,
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false
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],
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"enum": [true, false],
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"validation": {},
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"notes": "When enabled, outputs a detailed list of all residue-residue contacts at the interface."
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},
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"pymol_selection": {
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"type": "boolean",
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"description": "Output PyMOL script to visualize interface",
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"default": false,
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"required": false,
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"pipeline_io": "parameter",
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"var_name": "params.pymol_selection",
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"examples": [
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true,
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false
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],
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"enum": [true, false],
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"validation": {},
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"notes": "When enabled, generates a PyMOL script (.pml) to highlight interface residues for visualization."
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},
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"quiet": {
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"type": "boolean",
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"description": "Output only predicted affinity values",
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"default": false,
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"required": false,
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"pipeline_io": "parameter",
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"var_name": "params.quiet",
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"examples": [
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true,
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false
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],
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"enum": [true, false],
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"validation": {},
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"notes": "When enabled, outputs only the predicted binding affinity value without detailed analysis. Useful for batch processing and downstream parsing."
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}
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}
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}
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