O70531 AF NFT

Sulfate transporter

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiasjb6qn75jx3xwsfpc237falmxk7gtxthujdep327524bebicb2y/metadata.json
IPFS of structure file: 
bafybeieda7cj4cwsozyo52okwphrn6ggporbisrdbwmxguxpoojpwhn6gu/AF-O70531-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x738c1929c69B751bD0Be0B962D9bac20B631aAc6
First NFT owner address (bech32): 
genesis1wwxpj2wxnd63h597pwtzmxavyzmrr2kx0xhph5
Current NFT ID #418819 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
418819
Accession (UniProt):
O70531
Name::
Sulfate transporter
Experimental Method:
Predicted structure
Sequence source:
RATTUS NORVEGICUS

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 O70531 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O70531|S26A2_RAT Sulfate transporter OS=Rattus norvegicus OX=10116 GN=Slc26a2 PE=2 SV=1 MSSENKEQHNLSPRDLPEEAYGFPPELPLGAQRGSSTDLRQFEPSDRRRAFRRIHMELHEKPDTNIRQLVMRKLQKSCQCNATKIRNRIFDFFPVLRWLPKYDLKKNILGDMMSGLIVGILLVPQSIAYSLLAGQEPIYGLYTSFFASIIYFLFGTSRHISVGIFGILCLMIGEVVDRELHKACPDIDTTSSSIAMFSNGCVVVNHTLDGLCDKSCYAIKIGSTVTFMAGVYQVAMGFFQVGFVSVYLSDALLSGFVTGASFTILTSQAKYLLGLSLPRSNGVGSVITTWIHIFRNIHKTNICDLITSLLCLLVLVPTKELNEYFKSKLPAPIPTELIVVVAATLASHFGKLNENYNSSIAGQIPTGFMPPQAPDWSLIPNVAVDAIAISIIGFAITVSLSEMFAKKHGYTVKANQEMYAIGFCNIIPSFFHCITTSAALAKTLVKESTGCQTQLSAIVTSLVLLLVLLLIAPLFYSLQKCVLGVITIVNLRGALLKFRDLPKMWRLSRMDTVIWFVTMLSSALLSTEIGLLVGVCFSMFCVILRTQMPKISLLGLEEESEIFESISTYKNLRSKSGIKVFRFIAPLYYINKECFKSALYKKTLNPVLVKAAWKKAAKRKLKEETVTFHGDPDEVSMQLSHDPLELHTVVIDCSAIQFLDTAGIHTLKEVRRDYEAIGIQVLLAQCNPSVRDSLAKGEYCKKEEENLLFYSLSEAVAFAEESQKEKGVCVVNGLSLSGD