Q9LQ16 AF NFT

Pentatricopeptide repeat-containing protein At1g62910

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicnbmgww3tk4svbvwxbckfk2ekucccqqwmgd33ng2lmrot3ckxqqe/metadata.json
IPFS of structure file: 
bafybeifx3u5bhbw2jojgutafghnempi7zawsjtod3gmf5doo5ayifi7hhq/AF-Q9LQ16-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x222C6BfE34A650a63C34bE286d1A8726214Fe68C
First NFT owner address (bech32): 
genesis1ygkxhl355eg2v0p5hc5x6x58ycs5le5vtkvrxl
Current NFT ID #307585 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
307585
Accession (UniProt):
Q9LQ16
Name::
Pentatricopeptide repeat-containing protein At1g62910
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 Q9LQ16 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9LQ16|PPR94_ARATH Pentatricopeptide repeat-containing protein At1g62910 OS=Arabidopsis thaliana OX=3702 GN=At1g62910 PE=2 SV=1 MQRSISLTAKRLFVHWNLQGIGNPPTVPSFFNLCGSGCWERSFASASGDYREILRNRLSDIIKVDDAVDLFGDMVKSRPFPSIVEFNKLLSAVAKMNKFELVISLGEQMQTLGISHDLYTYSIFINCFCRRSQLSLALAVLAKMMKLGYEPDIVTLSSLLNGYCHSKRISDAVALVDQMVEMGYKPDTFTFTTLIHGLFLHNKASEAVALVDQMVQRGCQPDLVTYGTVVNGLCKRGDIDLALSLLKKMEKGKIEADVVIYNTIIDGLCKYKHMDDALNLFTEMDNKGIRPDVFTYSSLISCLCNYGRWSDASRLLSDMIERKINPNVVTFSALIDAFVKEGKLVEAEKLYDEMIKRSIDPDIFTYSSLINGFCMHDRLDEAKHMFELMISKDCFPNVVTYSTLIKGFCKAKRVEEGMELFREMSQRGLVGNTVTYTTLIHGFFQARDCDNAQMVFKQMVSVGVHPNILTYNILLDGLCKNGKLAKAMVVFEYLQRSTMEPDIYTYNIMIEGMCKAGKVEDGWELFCNLSLKGVSPNVIAYNTMISGFCRKGSKEEADSLLKKMKEDGPLPNSGTYNTLIRARLRDGDREASAELIKEMRSCGFAGDASTIGLVTNMLHDGRLDKSFLDMLS