Q9LIA4 AF NFT

Protein RIK

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiehwokuy3wffcexavi4l2jefxec76lv5xwwh3l2dqp3szqrxaygc4/metadata.json
IPFS of structure file: 
bafybeidwb4uh3l7ynrljmbpr35xh5k4nfqjdhy7qqdmbeodib5yrzm7czm/AF-Q9LIA4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x00f48420072d220CAe17e7bEf8eCf4C6dbFcAcfF
First NFT owner address (bech32): 
genesis1qr6gggq8953qetshu7l03m85cmdlet8l55ufu7
Current NFT ID #343900 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
343900
Accession (UniProt):
Q9LIA4
Name::
Protein RIK
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 Q9LIA4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9LIA4|RIK_ARATH Protein RIK OS=Arabidopsis thaliana OX=3702 GN=RIK PE=1 SV=2 MTEDNDEARVPLSDSSTTNDASRTRQRRKRKWDKPAEQLVAAGVAFPQLLPLGNTMNVPSMSPLLQTLSVPLAVPKVNQPKIQDEVIIAREIVINDAEASLRHRLTKRSTQEDIQRSTGAVVITRGKYRPPNAPPDGEKPLYLHISAAAQLQLKETTERILAVDRAAAMIEEMMKQKSISQIGSVGLQTVKMLSTCVYLGFEADPSSNVAARIRGPNDQYINHIMNETGATVVLRGRGSGSLENQHGDEAQLPLHLLLSGSNPKSIDDAKRLAENLMDTISVEFGASRVSSSKVYGAVPPPQQLISGAPGSDQENQNLISTYGLMTSIPITAPPYAVSSFPVTPATSLYPQFPVMQSLGISNGGPSQPVAGGTSYSGYAGIYPQATPLQQVAQVLKQSISPVISTVPPTMLTATSLSIPSDNASNEMERRPPRKRKFQELPADCKVPEKDKQQSELAMTGDVTPSANRVRSPPSPRSVMPPPPPKTIAPPPSKTMSPPSSKSMLPPPPRSKTMSPLSSKSMLPPPPRFTLTTQRSRLQDNHISVKKPNPVPDTLIKLMEYGDDEDDDDDPDEPLTTRS