Q9ZVH0 AF NFT

Protein FEZ

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibsqygdanx33d572rogubpyvgiy5w2jeptoefnyy5gzu6nf27q45a/metadata.json
IPFS of structure file: 
bafybeihzdknltpgt7mfkq5qwmab4oykhikjr53d2g52rhvkxvxfc2vt77e/AF-Q9ZVH0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4a464dd73B9A717f357189dAc993f8f1e3757Ee3
First NFT owner address (bech32): 
genesis1ffrym4emnfch7dt338dvnylc783h2lhrparcaq
Current NFT ID #129757 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
129757
Accession (UniProt):
Q9ZVH0
Name::
Protein FEZ
Experimental Method:
Predicted structure
Sequence source:
ARABIDOPSIS THALIANA

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 Q9ZVH0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9ZVH0|FEZ_ARATH Protein FEZ OS=Arabidopsis thaliana OX=3702 GN=FEZ PE=2 SV=1 MGDRNNDGDQKMEDVLLPGFRFHPTDEELVSFYLKRKVQHNPLSIELIRQLDIYKYDPWDLPKFAMTGEKEWYFYCPRDRKYRNSSRPNRVTGAGFWKATGTDRPIYSSEGNKCIGLKKSLVFYKGRAAKGVKTDWMMHEFRLPSLSEPSPPSKRFFDSPVSPNDSWAICRIFKKTNTTTLRALSHSFVSSLPPETSTDTMSNQKQSNTYHFSSDKILKPSSHFQFHHENMNTPKTSNSTTPSVPTISPFSYLDFTSYDKPTNVFNPVSCLDQQYLTNLFLATQETQPQFPRLPSSNEIPSFLLNTSSDSTFLGEFTSHIDLSAVLAQEQCPPLVSLPQEYQETGFEGNGIMKNMRGSNEDHLGDHCDTLRFDDFTSTINENHRHHQDLKQNMTLLESYYSSLSSINSDLPACFSSTT