Q67Z93 AF NFT

Inactive protein FRIGIDA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihmmpzklmnyiolmvwbeczzlkmasd2efkbfwm3ml52cdvysvswyrqq/metadata.json
IPFS of structure file: 
bafybeihwiiehbag5ropf54inzmpkpgqluot4t56ztsmhhhmitsxlwtye2y/AF-Q67Z93-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5f589287314FcB5B87F1F71E7db97a0D3F14CeaE
First NFT owner address (bech32): 
genesis1tavf9pe3fl94hpl37u08mwt6p5l3fn4wh45k95
Current NFT ID #136134 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
136134
Accession (UniProt):
Q67Z93
Name::
Inactive protein FRIGIDA
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 Q67Z93 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q67Z93|FRIG0_ARATH Inactive protein FRIGIDA OS=Arabidopsis thaliana OX=3702 GN=FRI PE=2 SV=1 MSNYPPTVAAQPTTTANPLLQRHQSEQRRRELPKIVETESTSMDITIGQSKQPQFLKSIDELAAFSVAVETFKRQFDDLQKHIESIENAIDSKLESNGVVLAARNNNFHQPMLSPPRNNVSVETTVTVSQPSQEIVPETSNKPEGERICELMCSKGLRKYIYANISDQAKLMEEIPSALKLAKEPAKFVLDCIGKFYLQGRRAFTKESPMSSARQVSLLILESFLLMPDRGKGKVKIESWIKDEAETAAVAWRKRLMTEGGLAAAEKMDARGLLLLVACFGVPSNFRSTDLLDLIRMSGSNEIAGALKRSQFQV