O97741 AF NFT

Amiloride-sensitive sodium channel subunit alpha

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidaejzl3c6sntm4ejnycrz6vvwhneutcz4bt3ttufmjqbpzes4z6m/metadata.json
IPFS of structure file: 
bafybeif5733us7yxzchiwkmcimtk3a3o3ojpuaxogkzmuouhudqldma7ie/AF-O97741-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x84C29Ef3da704f3F8077E18d9E11eBbbA2488271
First NFT owner address (bech32): 
genesis1snpfau76wp8nlqrhuxxeuy0thw3y3qn3h4pvag
Current NFT ID #421575 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
421575
Accession (UniProt):
O97741
Name::
Amiloride-sensitive sodium channel subunit alpha
Experimental Method:
Predicted structure
Sequence source:
ORYCTOLAGUS CUNICULUS

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 O97741 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O97741|SCNNA_RABIT Amiloride-sensitive sodium channel subunit alpha OS=Oryctolagus cuniculus OX=9986 GN=SCNN1A PE=2 SV=1 MKGDKREEQGPGPETVAPQQPTEDEEALIEFHRSYRELFQFFCNNTTIHGAIRLVCSKHNRMKTAFWAVLWLCTFGMMYWQFGLLFGEYFSYPVNLNINLNSDKLVFPAVTVCTLNPYRYPEITEQLKELDSITQQTLLDLFKYNASTLEAQPRHRRDVHPPLPHPLQRLRVPPPRLEARRARSSASSVRDNSPEVGRKDWMIGFQLCNQNRSDCFYQRYSSGVDAVREWYRFHYINILSRLSDTSLSREQLGNFIFTCRFNQAFCGDGNYSHFHHPMYGNCYTFNDKNNSSLWMSSMPGINNGLSLTLRTEQNDFIPLLSTVTGARVMVHGQDEPAFMDDGGFNLRPGVETSISMRKESLDRLGGDYGDCTQNGSDVPVKNLYRSKYTQQVCIHSCFQENMVKECGCAYIFYPLPEGVEYCDYRKHNSWGYCYYKLQDAFSSDRLGCFTKCRKPCSVTNYELSAGYSRWPSVTSQDWVFQMLSLQNNYTVSNKRNGVAKLNIYFKELNYKANSESPSVTMVTLLSNLGSQWSLWFGSSVLSVVEMAELLFDLSVITFLMLLRRFRSRYWSPGRGAGGAREVASSPVSALPSRFCPHPTSPSVPQPGPTLPPSLTAPPPAYATLGPCLSQSGSACAPGEP