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 ="P43007"data = fetch_uniprot_data(uniprot_id)display_uniprot_data(data)
UniProt ID: P43007
Protein Name: Neutral amino acid transporter A
Organism: Homo sapiens
Function: Sodium-dependent neutral amino-acid transporter that mediates transport of alanine, serine, cysteine, proline, hydroxyproline and threonine
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”