Q9Z1L4 AF NFT

Retinoschisin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiehrgzdbvndn2fpqzhro7g2gcevzx3qvfkiplahi3shagkztau5by/metadata.json
IPFS of structure file: 
bafybeib77rkq3pwdtf4rx25txfz7rvjgpn6t4knuetfyfwrh6u2j54gude/AF-Q9Z1L4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xdF2b063d4B94F3f46D117B1af99A846bD4a59284
First NFT owner address (bech32): 
genesis1mu4sv02tjnelgmg30vd0nx5yd022ty5y7akg2m
Current NFT ID #501434 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
501434
Accession (UniProt):
Q9Z1L4
Name::
Retinoschisin
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

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 Q9Z1L4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9Z1L4|XLRS1_MOUSE Retinoschisin OS=Mus musculus OX=10090 GN=Rs1 PE=1 SV=1 MPHKIEGFFLLLLFGYEATLGLSSTEDEGEDPWYQKACKCDCQVGANALWSAGATSLDCIPECPYHKPLGFESGEVTPDQITCSNPEQYVGWYSSWTANKARLNSQGFGCAWLSKYQDSSQWLQIDLKEIKVISGILTQGRCDIDEWVTKYSVQYRTDERLNWIYYKDQTGNNRVFYGNSDRSSTVQNLLRPPIISRFIRLIPLGWHVRIAIRMELLECASKCA