import requestsimport urllib3urllib3.disable_warnings()def fetch_uniprot_data(uniprot_id): url =f"https://rest.uniprot.org/uniprotkb/{uniprot_id}.json" response = requests.get(url, verify=False) # Disable SSL verification response.raise_for_status() # Raise an error for bad status codesreturn response.json()def display_uniprot_data(data): primary_accession = data.get('primaryAccession', 'N/A') protein_name = data.get('proteinDescription', {}).get('recommendedName', {}).get('fullName', {}).get('value', 'N/A') gene_name = data.get('gene', [{'geneName': {'value': 'N/A'}}])[0]['geneName']['value'] organism = data.get('organism', {}).get('scientificName', 'N/A') function_comment =next((comment for comment in data.get('comments', []) if comment['commentType'] =="FUNCTION"), None) function = function_comment['texts'][0]['value'] if function_comment else'N/A'# Printing the dataprint(f"UniProt ID: {primary_accession}")print(f"Protein Name: {protein_name}")print(f"Organism: {organism}")print(f"Function: {function}")# Replace this with the UniProt ID you want to fetchuniprot_id ="Q8NAU1"data = fetch_uniprot_data(uniprot_id)display_uniprot_data(data)
UniProt ID: Q8NAU1
Protein Name: Fibronectin type III domain-containing protein 5
Organism: Homo sapiens
Function: Contrary to mouse, may not be involved in the beneficial effects of muscular exercise, nor in the induction of browning of human white adipose tissue
More information:
AlphaFold model
Surface representation - binding sites
The computed point cloud for pLDDT > 0.6. Each atom is sampled on average by 10 points.
To see the predicted binding interfaces, you can choose color theme “uncertainty”.
Go to the “Controls Panel”
Below “Components”, to the right, click on “…”
“Set Coloring” by “Atom Property”, and “Uncertainty/Disorder”