Q9M353 AF NFT

Cation/H(+) antiporter 20

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicdokvtghe7xuqyxykl2yi2mq4q7epb5oe5mppar7axq2jrfzkr3y/metadata.json
IPFS of structure file: 
bafybeidheax5qicfqgaulrvzm2cdk3cyevvwuec7ahaywyehxiaewwbk6e/AF-Q9M353-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x91C297d31a64ea1ebCc9f529C46831f1138abe26
First NFT owner address (bech32): 
genesis1j8pf05c6vn4pa0xf755ug6p37yfc403xym8vcx
Current NFT ID #63008 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
63008
Accession (UniProt):
Q9M353
Name::
Cation/H(+) antiporter 20
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 Q9M353 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9M353|CHX20_ARATH Cation/H(+) antiporter 20 OS=Arabidopsis thaliana OX=3702 GN=CHX20 PE=2 SV=1 MPFNITSVKTSSNGVWQGDNPLNFAFPLLIVQTALIIAVSRFLAVLFKPLRQPKVIAEIVGGILLGPSALGRNMAYMDRIFPKWSMPILESVASIGLLFFLFLVGLELDLSSIRRSGKRAFGIAVAGITLPFIAGVGVAFVIRNTLYTAADKPGYAEFLVFMGVALSITAFPVLARILAELKLLTTQIGETAMAAAAFNDVAAWILLALAVALAGNGGEGGGEKKSPLVSLWVLLSGAGFVVFMLVVIRPGMKWVAKRGSPENDVVRESYVCLTLAGVMVSGFATDLIGIHSIFGAFVFGLTIPKDGEFGQRLIERIEDFVSGLLLPLYFATSGLKTDVAKIRGAESWGMLGLVVVTACAGKIVGTFVVAVMVKVPAREALTLGFLMNTKGLVELIVLNIGKEKKVLNDETFAILVLMALFTTFITTPTVMAIYKPARGTHRKLKDLSASQDSTKEELRILACLHGPANVSSLISLVESIRTTKILRLKLFVMHLMELTERSSSIIMVQRARKNGLPFVHRYRHGERHSNVIGGFEAYRQLGRVAVRPITAVSPLPTMHEDICHMADTKRVTMIILPFHKRWNADHGHSHHHQDGGGDGNVPENVGHGWRLVNQRVLKNAPCSVAVLVDRGLGSIEAQTLSLDGSNVVERVCVIFFGGPDDRESIELGGRMAEHPAVKVTVIRFLVRETLRSTAVTLRPAPSKGKEKNYAFLTTNVDPEKEKELDEGALEDFKSKWKEMVEYKEKEPNNIIEEILSIGQSKDFDLIVVGRGRIPSAEVAALAERQAEHPELGPIGDVLASSINHIIPSILVVQQHNKAHVEDITVSKIVSESSLSINGDTNV