- Nextflow pipeline using chai1 Docker image from Harbor - S3-based input/output paths (s3://omic/eureka/chai-lab/) - GPU-accelerated protein folding with MSA support Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
25 lines
760 B
Python
Executable File
25 lines
760 B
Python
Executable File
# Copyright (c) 2024 Chai Discovery, Inc.
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# Licensed under the Apache License, Version 2.0.
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# See the LICENSE file for details.
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from chai_lab.data.sources.rdkit import RefConformerGenerator
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def test_ref_conformer_from_smiles():
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"""Test ref conformer generation from SMILES."""
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smiles = "Cc1cc2nc3c(=O)[nH]c(=O)nc-3n(C[C@H](O)[C@H](O)[C@H](O)CO)c2cc1C"
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rcg = RefConformerGenerator()
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conformer = rcg.generate(smiles)
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assert len(set(conformer.atom_names)) == conformer.num_atoms
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def test_ref_conformer_glycan_ccd():
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"""Ref conformer from CCD code for a sugar ring."""
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rcg = RefConformerGenerator()
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conformer = rcg.get("MAN")
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assert conformer is not None
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assert len(set(conformer.atom_names)) == conformer.num_atoms
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