ProteInfer API¶
ProteInfer uses convolutional neural networks for direct prediction of protein functions from amino acid sequences. It specializes in identifying Enzyme Commission numbers and Gene Ontology terms, enhancing protein functional annotation.
Set Your API Token¶
In order to use the BioLM API, you need to have a token. You can get one from the User API Tokens page.
Paste the API token you generated in the cell below, as the value
of the variable BIOLMAI_TOKEN.
BIOLMAI_TOKEN = " " # !!! YOUR API TOKEN HERE !!!API Call with Python requests¶
We need to make sure we have the requisite package first, mainly Python requests.
try:
# Install packages to make API requests in JLite
import micropip
await micropip.install('requests')
await micropip.install('pyodide-http')
# Patch requests for in-browser support
import pyodide_http
pyodide_http.patch_all()
except ModuleNotFoundError:
pass # Won't be using micropip outside of JLite
import requests
from IPython.display import JSON # Helpful UI for JSON displayProteInfer EC (Enzyme Commission) Prediction¶
SLUG = 'proteinfer-ec'
ACTION = 'predict'
url = f"https://biolm.ai/api/v3/{SLUG}/{ACTION}/"
headers = {
"Content-Type": "application/json",
"Authorization": f"Token {BIOLMAI_TOKEN.strip()}",
}
data = {
"items": [
{
"sequence": "MMQTVLAKIVADKAIWVEARKQQQPLASFQNEVQPSTRHFYDALQGARTAFILECKKASPSKGVIRDDFDPARIAAIYKHYASAISVLTDEKYFQGSFNFLPIVSQIAPQPILCKDFIIDPYQIYLARYYQADACLLMLSVLDDDQYRQLAAVAHSLEMGVLTEVSNEEEQERAIALGAKVVGINNRDLRDLSIDLNRTRELAPKLGHNVTVISESGINTYAQVRELSHFANGFLIGSALMAHDDLHAAVRRVLLGENKVCGLTRGQDAKAAYDAGAIYGGLIFVATSPRCVNVEQAQEVMAAAPLQYVGVFRNHDIADVVDKAKVLSLAAVQLHGNEEQLYIDTLREALPAHVAIWKALSVGETLPAREFQHVDKYVLDNGQGGSGQRFDWSLLNGQSLGNVLLAGGLGADNCVEAAQTGCAGLDFNSAVESQPGIKDARLLASVFQTLRAY",
},
]
}
# Make the request
response = requests.post(
url=url,
headers=headers,
json=data,
)
result = response.json()
result<span></span>ProteInfer GO (Gene Ontology) Prediction¶
SLUG = 'proteinfer-go'
ACTION = 'predict'
url = f"https://biolm.ai/api/v3/{SLUG}/{ACTION}/"
headers = {
"Content-Type": "application/json",
"Authorization": f"Token {BIOLMAI_TOKEN.strip()}",
}
data = {
"items": [
{
"sequence": "MSQCCCRQVLLGVEVSIVVMALVAGGAGQTHDSRAAGSSCYGGFDLYFVLDKSGSVQHYWNEIFYFVHHLAHKFISPQMRMSFIVFSTDGRTLMALTEDRDKIRAGLEELRMVQPGGDTYMDRGLHRASEQIYYAAGDGYRAASVIIALTDGELREDQFDTAQREAGRARQLGASVYCVGLKDFNETQLSTIADSKDHVFPVHDGFEALQSVIDSILKRSCIEILAVQPSSICEGGEDEEQRHPESFQVVVKGNGFLHARDVQKVLCSFRVNDTLTLMKRPLVVRDTYLLCPAPLLEREGTSATLHVSMNNGLSFISSSVTIEAVACSDGTFVAVALLILMLLLTLVLLWWFWPLCCTVVRPPSWISVRKTPVKPPPSFEVWSSFPLFCLQVVHEPPPPVAEDDSDDEEGLPKKKWPTVDASYYGGRGVGGIKRMEVRWGDKGSTEEGAKLEKAKNARVVMPTEEESLARPYHAAHKPVRSHKWYSPIKGKLDALCVFLRKGYDRVSIMRPLPGDKGKCINFTRSRSYPVTRYPVYRPPPTPIYTLPHGHQRRPSDDSNLFQLPPSPTSKLPPLPSLHPSSCATLPVYSRHPDLFSAPPSPTGSLPPPPQAPPLCRAPPPSRPPPRPN",
},
]
}
# Make the request
response = requests.post(
url=url,
headers=headers,
json=data,
)
result = response.json()
resultNext 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.¶
BioLM hosts deep learning models and runs inference at scale. You do the science.¶
Contact us to learn more.¶
<span></span>Accelerate yourLead generation
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