Q65AC2 AF NFT

Sulfate transporter

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihquf4laj4ypq7jrfqdrmplxoajas6ctuwlnrcjwaewvvin72vst4/metadata.json
IPFS of structure file: 
bafybeifcgtdzi4qgfj22usxykw4xewa5evrnuah233t4aatbweqrb6ymy4/AF-Q65AC2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xcFf9BA0aF3DBABCc89e611059882CCFef4E731f4
First NFT owner address (bech32): 
genesis1elum5zhnmw4uez0xzyze3qkvlm6wwv05hgdmw0
Current NFT ID #418816 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
418816
Accession (UniProt):
Q65AC2
Name::
Sulfate transporter
Experimental Method:
Predicted structure
Sequence source:
EQUUS CABALLUS

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT Q65AC2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q65AC2|S26A2_HORSE Sulfate transporter OS=Equus caballus OX=9796 GN=SLC26A2 PE=2 SV=1 MSSESKEPHVLSPKDSFEGNDRYSPPSRIHLELEKKSSTDFKQFEASEPCRPYPRIHMEPQEKSNTNFKQFVIKKLQKSCQCSPTKAKNMIFGFLPVLQWLPKYDLKKNILGDVMSGLIVGILLVPQSIAYSLLAGQEPIYGLYTSFFASLIYFLLGTSRHISVGIFGVLCLMIGEVVDRELLKAGYDTVHIAPSLGMVSNGSTSLNQTSDRICDRSCYAIKVGSTVTFLAGIYQVAMGFFQVGFVSVYLSDALLSGFVTGASFTILTSQAKYLLGLSLPRSSGVGSLITTWIHIFRNIHKTNVCDLITSLLCLLVLLPTKELNEHFKSKLKAPIPTELVVVVAATLASHFGKLHEKYNTSIAGHIPTGFMPPKAPDWNLIPSVAVDAIAISIIGFAITVSLSEMFAKKHGYTVKANQEMYAIGFCNIIPSFFHCFTTSAALAKTLVKESTGCQSQLSGVMTALVLLLVLLVIAPLFYSLQKSVLGVITIVNLRGALRKFRDLPKMWRVSRMDTVIWFVTMLSSALISTELGLLIGVCFSMFCVILRTQKPKVSLLGLVEETEIFESMSAYKNLQARPGIKIFRFVAPLYYINKECFKSALYKKTLNPVLVKAAQKKAAKRKIKKQPVTLSGIQNEISVQLSHDPLELRTIVIDCSAIQFLDTAGIHTLKEVRRDYEAIGIQVLLAQCNPSVRDSLARGEYCKDEEENLLFYSVYEAMAFAEESQNQKGICIPNGL