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92 lines
2.8 KiB
Python
92 lines
2.8 KiB
Python
PREDICT_TARGET_STRUCTURE_TOOL = {
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"type": "function",
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"function": {
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"name": "predict_target_structure_alphafold2",
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"description": "Predicts the 3D structure of the target protein sequence using AlphaFold2.",
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"parameters": {
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"type": "object",
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"properties": {
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"sequence": {
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"type": "string",
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"description": "Amino acid sequence of the target protein.",
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},
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},
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"required": ["sequence"],
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},
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},
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}
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DESIGN_BINDER_BACKBONE_TOOL = {
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"type": "function",
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"function": {
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"name": "design_binder_backbone_rfdiffusion",
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"description": (
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"Generates a novel protein binder backbone using RFDiffusion, "
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"conditioned on the target protein structure."
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),
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"parameters": {
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"type": "object",
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"properties": {
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"contigs": {
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"type": "string",
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"description": "RFDiffusion contigs (e.g., 'A1-100/0 50-70').",
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},
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"hotspot_residues": {
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"type": "array",
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"items": {"type": "string"},
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"description": "Optional hotspot residues (e.g., ['A50', 'A52']).",
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},
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},
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"required": ["contigs"],
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},
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},
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}
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DESIGN_BINDER_SEQUENCE_TOOL = {
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"type": "function",
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"function": {
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"name": "design_binder_sequence_proteinmpnn",
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"description": "Designs an amino acid sequence for the generated binder backbone.",
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"parameters": {
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"type": "object",
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"properties": {
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"sampling_temp": {
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"type": "array",
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"items": {"type": "number"},
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"description": (
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"Sampling temperatures (e.g., [0.1, 0.2]). Default [0.1]."
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),
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}
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},
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"required": [],
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},
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},
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}
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EVALUATE_COMPLEX_TOOL = {
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"type": "function",
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"function": {
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"name": "evaluate_binder_complex_alphafold2_multimer",
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"description": (
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"Predicts the complex structure of target and designed binder, "
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"providing quality scores."
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),
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"parameters": {
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"type": "object",
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"properties": {
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"relax_prediction": {
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"type": "boolean",
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"description": "Whether to relax the prediction. Default True.",
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}
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},
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"required": [],
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},
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},
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}
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ALL_TOOLS_LIST = [
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PREDICT_TARGET_STRUCTURE_TOOL,
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DESIGN_BINDER_BACKBONE_TOOL,
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DESIGN_BINDER_SEQUENCE_TOOL,
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EVALUATE_COMPLEX_TOOL,
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]
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