ESM2 API¶
SOTA general-purpose protein language model. Can be used to predict structure, function and other protein properties directly from individual sequences.*
API Call with Python requests¶
from IPython.display import JSON # Helpful UI for JSON display
from biolmai import BioLMsequence = "MSILVTRPSPAGEELVSRLRTLGQVAWHFPLIEFSPGQQLPQLADQLAALGESDLLFALSQHAVAFAQSQLHQQDRKWPRLPDYFAIGRTTALALHTVSGQKILYPQDREISEVLLQLPELQNIAGKRALILRGNGGRELIGDTLTARGAEVTFCECYQRCAIHYDGAEEAMRWQAREVTMVVVTSGEMLQQLWSLIPQWYREHWLLHCRLLVVSERLAKLARELGWQDIKVADNADNDALLRALQ"
result = BioLM(entity="esm2-650m", action="encode", items=[{"sequence": sequence}])
result{'sequence_index': 0,
'embeddings': [{'layer': 33,
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JSON(result)<IPython.core.display.JSON object>
You can click the arrows above to expand and view the full embeddings vector in the JSON response.
Next Steps¶
Check out additional tutorials at jupyter.biolm.ai, or head over to our BioLM Documentation to explore additional models and functionality.
See more use-cases and APIs on your BioLM Console Catalog.¶
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