P55270 AF NFT

Amiloride-sensitive sodium channel subunit alpha

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifxftenn5eiyfsodn64ln3xadrblj7ct2sz5spekp2fjycbbyomdy/metadata.json
IPFS of structure file: 
bafybeifujkhxlevcjsflkz6qcsqyerk4cvfncumfa2ayc3dv55x7gojrai/AF-P55270-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x32Dd5B71E48E579114B6a52f6D2542974C43ED9C
First NFT owner address (bech32): 
genesis1xtw4ku0y3etez99k55hk6f2zjaxy8mvu369w9m
Current NFT ID #421567 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
421567
Accession (UniProt):
P55270
Name::
Amiloride-sensitive sodium channel subunit alpha
Experimental Method:
Predicted structure
Sequence source:
BOS TAURUS

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 P55270 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P55270|SCNNA_BOVIN Amiloride-sensitive sodium channel subunit alpha OS=Bos taurus OX=9913 GN=SCNN1A PE=1 SV=2 MKGDKPEEPGPGPEPSGPPPPTEEEEALLEFHRSYRELFEFFCNNTTIHGAIRLVCSQHNRMKTVFWAVLWLCTFGMMYWQFGQLFGEYFSYPVSLNINLNSDKLVFPAVSICTLNPYRYKEIQEELEELDRITEQTLFDLYKYNSSKTLVAHARSRRDLREPLPHPLQRLPVPAPPHAARGVRRAGSSMRDNNPQVNRKDWKIGFQLCNQNKSDCFYQTYSSGVDAVREWYRFHYINILSRRRQDTSPSLEEDVLGKFIFTCRFNQDSCNEANYSHFHHPMYGNCYTFNDKNSSNLWMSSMPGVNNGLSLTLRTEQNDFIPLLSTVTGARVMVHERDEPAFMDDAGFNLRPGVETSISMSKEAVDRLGGDYGDCTKNGSEVPVENLYNTKYTQQVCIHSCFQESMIKECGCAYIFYPRPDGVEFCDYRKHNSWGYCYYKLQDAFSSDRLGCFTKCRKPCSVTIYKLSASYSQWPSATSQDWVFQMLSRQNNYTIKNKRDGVAKLNIFFKELNYKSNSESPSVTMVTLLSNLGSQWSLWFGSSVLSVVEMAELIIDLLVITFLMLLRRFRSRYWSPGRGGKGTQEVASTPAASLPSSFCPHPAFFSSSPPDPAISPALSAPPPAYATLGPHPAPSGLAEASTSAHAPGEP