Q67ZB3 AF NFT

FRIGIDA-like protein 3

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaygef2apc5vnjjbqi6yoys4rdydzfgoqb4ygmirlaz2djmp6vv7u/metadata.json
IPFS of structure file: 
bafybeihz4wmbrrn63t4qqj2pondlg4txywskwxml4deapehc5xd4odi2re/AF-Q67ZB3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x943D409fcC503a49f8ABBCEB2544292048F50bD1
First NFT owner address (bech32): 
genesis1js75p87v2qayn79thn4j23pfypy02z73d4zyca
Current NFT ID #136206 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
136206
Accession (UniProt):
Q67ZB3
Name::
FRIGIDA-like protein 3
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 Q67ZB3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q67ZB3|FRL3_ARATH FRIGIDA-like protein 3 OS=Arabidopsis thaliana OX=3702 GN=FRL3 PE=1 SV=1 MEDTRSVASLMDSTSSKIQQLQKAFAELESQRAVTLNLKWKELEEHFHGLERSLKRRFHELEDQEKEYETKTRKAQELLEKKKAAVEAKEKAALERLQKKRDAAMFTINSALDKYNNAPVSKPSVGERWPQNAVEDSSNVFAADSITDDNPDGIVQDVQISPVMGNYEVKAYPQLLKLCGDMDSTGLHKFVSDNRKNLASLKEEIPMAFRAAANPASLVLDSLEGFYPMEAPTADGKKDANLLGMRRTCIMLMECLSILLSGLDRNCLAVVLSQNVKHRAKTIAEGWNPLLESLDMDACNGNSLEAHAFLQLLATFAIVADFKEDELLKLIPMVSRRRQAAELCRSLGLAEKMPGVIEVLVNSGKQIDAVNLAFAFELTEQFSPVSLLKSYLIEARRSSPQGRPGNASPAVQDEFNERELIGLKTVIKCIEEHSLEEQYPVEPLHKRILQLEKAKADKKRATEPMKPQPKRPRGAQPRVTDNNNNINNNKTGYGRVIPERYPQYVYDNRPFLSGPIMAAQPPPPPPPQTYTFNPAPAHGNFYANCYQYQAPPPPPYFH