Q69FB3 AF NFT

Junctophilin-4

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifonk5dxhjzgxwzamxxw5nhir2oyvgt2fgy5ffjuzi2g2ccme64p4/metadata.json
IPFS of structure file: 
bafybeigziormlpdf7h7vizycnh2h2tdd5k5lggzln3hhy4l6cvuqzololq/AF-Q69FB3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3f489E003F4ab9107BF0c3b4F75547915DFC6dA0
First NFT owner address (bech32): 
genesis18ayfuqplf2u3q7lscw60w428j9wlcmdqwlsd4a
Current NFT ID #196486 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
196486
Accession (UniProt):
Q69FB3
Name::
Junctophilin-4
Experimental Method:
Predicted structure
Sequence source:
RATTUS NORVEGICUS

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 Q69FB3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q69FB3|JPH4_RAT Junctophilin-4 OS=Rattus norvegicus OX=10116 GN=Jph4 PE=2 SV=1 MHVPLGRKFDFDDGGCYVGGWEAGRAHGYGVCTGPGAQGEYSGCWAHGFESLGVFTGPGGHSYQGHWQQGKREGLGVERKSRWTYRGEWLGGLKGRSGVWESVSGLRYAGLWKDGFQDGYGTETYSDGGTYQGQWQAGKRHGYGVRQSVPYHQAALLRSPRRTSLDSGHSDPPTPPPPLPLPGDEGGSPASGSRGGFVLAGPGDADGASSRKRTPAAGGFFRRSLLLSGLRAGGRRSSLGSKRGSLRSEVSSEVGSTGPPGSEASGPPIPAPPALIEGSATEVYAGEWRADRRSGYGVSQRSNGLRYEGEWLGNRRHGYGRTTRPDGSREEGKYKRNRLVHGGRVRSLLPLALRRGKVKEKVDRAVEGARRAVSAARQRQEIAAARAADALLKAVAASSVAEKAVEAARMAKLIAQDLQPMLEAPGRRPRQDSGGSDTEPLDEDSPGVYENGLTPSEGSPELPSSPASSHQPWRAPPCRSPLPPGGNWGPFSSPKAWPEEWGGPGEQAEELAGYEAEDEAGMQGPGPRDGSPLLGGCSDSSGSLREEEGEDEESLPQLRAPGGSESEPVTTPVLRGLSSRGPDAGCLTEEFEEPAATERPAQPGAANPLVVGAVALLDLSLAFLFSQLLT