Q9R1N2 AF NFT

Amiloride-sensitive sodium channel subunit alpha

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihlxt4xianl5t3shusgdnaaja2ohnvlegcnnjrc5ml23vld6hc77u/metadata.json
IPFS of structure file: 
bafybeihpswlx6e6x644rgybvc3t5zvisldsa74b6xqnvkhtvs3wvb6bfn4/AF-Q9R1N2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5e58272ea25a05e06901A2eAe9f63939b344e0c6
First NFT owner address (bech32): 
genesis1tevzwt4ztgz7q6gp5t4wna3e8xe5fcxxnzlgjh
Current NFT ID #421568 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
421568
Accession (UniProt):
Q9R1N2
Name::
Amiloride-sensitive sodium channel subunit alpha
Experimental Method:
Predicted structure
Sequence source:
CAVIA PORCELLUS

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 Q9R1N2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9R1N2|SCNNA_CAVPO Amiloride-sensitive sodium channel subunit alpha OS=Cavia porcellus OX=10141 GN=SCNN1A PE=2 SV=1 MLMRLLPLPSLTDGRPLGCCCTCQGSMKGDELKAQGPLPPQPLQGPLKGDKCEQPGLGPEPTAPQQHTEEEEALIEFHRSYRELFQFFCNNTTIHGAIRLVCSKHNRMKTAFWAVLWLCTFGMMYWQFALLFGEYFSYPVSLNINLNSDKLVFPAVTVCTLNPYRYKEIKEQLRELDRITQQTLFDLYNYNASSTLLAGARSRRSLADTLPYPLQRIPVQPEPRRARSSDPSSVRDNNPRVDRRDWRVGFQLCNQNKSDCFYQTSSSGVDGVREWYRFHYINILAQVADTSPRWEEETLGNFIFACRFNQAPCTQENYSHFHHPIYGNCYTFNNKNDSSLWMASMPGINNGLSLTLRTEQNDYIPLLSTVTGARVTVHGQDEPAFMDDGGFNLRPGVETSISMRKEALDRLGGSYGDCTQDGSDVPVQNLYPSKYTQQVCIHSCFQENMIKQCGCAYIFYPKPKGVEFCDYTNHSAWGYCYYKLQGAFSSDSLGCFNKCRKPCNVTIYKLSAGYSRWPSAASQDWIFQMLSLQNNYTISNKRNGVAKLNIYFKELNYRTNSESPSVTMVTLLSNLGSQWSLWFGSSVLSVVEMAEFMFDLLVITLLMLLRRFRSRYWSPGRGARAAREVACTPPPSLPSRFCAHSAFPTLTAPPPAYATLSACPPLQGLAGASSAACAPREP