K7FSQ4 AF NFT

Amiloride-sensitive sodium channel subunit gamma

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibc7a27m2adh4njjr3zpm5gdoq4zwdy375filoqa4plmsnpsw2lrm/metadata.json
IPFS of structure file: 
bafybeigfl4jy3cibllnxwcwcb7xqc2iy5ixbgo4jb6uim2ztp7nrk3ufma/AF-K7FSQ4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xc1ffc09aD3AD76BE5aBB18768F210CD3c710C853
First NFT owner address (bech32): 
genesis1c8lupxkn44mtuk4mrpmg7ggv60r3pjzn66mwfx
Current NFT ID #421598 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
421598
Accession (UniProt):
K7FSQ4
Name::
Amiloride-sensitive sodium channel subunit gamma
Experimental Method:
Predicted structure
Sequence source:
PELODISCUS SINENSIS

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 K7FSQ4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|K7FSQ4|SCNNG_PELSI Amiloride-sensitive sodium channel subunit gamma OS=Pelodiscus sinensis OX=13735 GN=SCNN1G PE=3 SV=1 MAPPYHGDTREFSMAPAKKIKAKIKKTLPVTGPQAPTVSELMHWYCMNTNTHGCRRIVVSRGRLRKFIWILLTLSAVGLILWQCAELIMSYYTASVSVTVQFQKLPFPAVTICNINPYKYSAMKEHLSELDKETKNALETLYGFSEGKSKVRRDAADWNSTGRNMQSKLLEKIPLLKFDDLFKKTATEILSGHKRKIEGSAFHQGSSMVNIGEPQDVVGFQLCDPNNSSDCAVYIFSSGVNAIQEWYKLHYMNIMAQIPLEMKVNMGYSAEDLLLTCFFDGISCDSRNFTPFHHPLYGNCYTFNSGENGTILTTSTGGSEYGLQVVLYVEEADYNPFLVTSTGAKIIVHDQDEYPFIEDIGTEIETAMATSIGMHFTRSHKLSQPYSDCTETGNDIPVANLYNKSYSLQICLHSCFQRAMVDTCGCAQYAQPLPPGAEYCNYKKYPNWMYCYYKLHEKFVKEQLGCQQICKESCSFKEWTLTTSLAQWPSSVSEDWMLRVLSWDKRQKINKMLNKTDLANLVVFYKDLNERFISENPANNLVILLSNFGGQLGLWMSCSMVCVIEIIEVFFIDSFSIVMRRRWQKMKKWWNDRKAPRPQEPPQVNAPAKEGHDNPVCTDEDLPTFNTALRLPLPQENHMPRTPPPNYSTLQLNAAFTDQLPDTLEGRSH