Q9S764 AF NFT

Protein C2-DOMAIN ABA-RELATED 6

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidjjkgyzpwf5pfinaw3bxkzkjphywdcn7tury255l4whmsfvw275i/metadata.json
IPFS of structure file: 
bafybeic7r73xmiozxnhhieksu43xxcnlgioavoteza4ek6ker4brjbwo5u/AF-Q9S764-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x18762eA40ffc26417675C60f0F519A7FC779932d
First NFT owner address (bech32): 
genesis1rpmzafq0lsnyzan4cc8s75v60lrhnyedtmn0vf
Current NFT ID #50745 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
50745
Accession (UniProt):
Q9S764
Name::
Protein C2-DOMAIN ABA-RELATED 6
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 Q9S764 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9S764|CAR6_ARATH Protein C2-DOMAIN ABA-RELATED 6 OS=Arabidopsis thaliana OX=3702 GN=CAR6 PE=1 SV=1 MEKTEEEVEMKELVGLVRILVKRGIDLARRDALSSDPFVVITMGPQKLKSFTVKNNCNPEWNEELTLAIEDPNEPVKLMVYDKDTFTADDKMGDAQIDMKPFLDVHKLGLKELPHGKELKRIVPTRDNCLSEDSIIVSDNGKIVQDMILLLKNVECGKVEIQLEWLKNPGGSGL