Q95165 AF NFT

Amiloride-sensitive sodium channel subunit beta

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihz4nzzogvh47tdakfbhbjgztbjtr66zeoedw6n3c2yqy46dvlmsq/metadata.json
IPFS of structure file: 
bafybeidzl4yhqzxug5xmrlfge7ekxx2ntxvh4yg4cm4pwcy6lfoay2fpru/AF-Q95165-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa8A1c7BA6D7bAf815aeb7e38575A232686180e38
First NFT owner address (bech32): 
genesis14zsu0wnd0whczkht0cu9wk3ry6rpsr3c9ug7sa
Current NFT ID #421579 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
421579
Accession (UniProt):
Q95165
Name::
Amiloride-sensitive sodium channel subunit beta
Experimental Method:
Predicted structure
Sequence source:
CANIS LUPUS FAMILIARIS

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 Q95165 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q95165|SCNNB_CANLF Amiloride-sensitive sodium channel subunit beta OS=Canis lupus familiaris OX=9615 GN=SCNN1B PE=3 SV=2 MHLKKYLLKGLHRLQKGPGYSYKELLVWYCNNTNTHGPKRIICEGPKKKAMWFLITLLFTSLVCWQWGVFIRTYLSWEVSVSLSLGFKTMDFPAVTICNASPFQYSKVKHLLRDLDELMEAVLERILAPEHSDANATRTLNVTMWNYTPLVLIDEQNPHCPVVLDLFGDIHNGSASSSPAPARSCTVHGCKVAMRLCSLNGTVCTFRNFTSATQAVTEWYLLQATNIFSQVPQRELVEMSYPAERLILACLFGAEPCSYRNFTSIFHPDYGNCYIFNWGMTEKALPSANPGAEFGLKLILDIGQEDYVPFLTSTAGARLMLHEQRSYPFIKDEGIYAMSGTETSIGVLVDRLERKGEPYSQCTVNGSDVPVRNLYSDYNTTYSIQACIRSCFQDHMIQNCSCAHYLYPLPRGERYCNNREFPDWAYCYSHLRMSVAQRETCINMCKESCNDTQYKMTISMADWPSEASEDWIFHVLSQERDQSTNITLSRKGVVKLNIYFQEFNYRTIEESAANNIVWLLSNLGGQFGFWMGGSVLCLIEFGEILIDFVWITIIKLVAFAKSLRQKRAQARYAGPPPTVAELVEAHTNFGFQPDVARPGPDPGTYPDEQTLPIPGTPPPNYDSLRLQPLDVIESDSEGDAI