Q9LMP1 AF NFT

Wall-associated receptor kinase 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeig7hi42nf7cy757nv3ig5dxgjuuv4mna2mwjcjmfkr7y23kt4w7ka/metadata.json
IPFS of structure file: 
bafybeih6x7fw5dlarcodnfi3ufw27flabfmksmusm3fhq6sxaxmu5hl6bm/AF-Q9LMP1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x46EfCa788d03A3e879DAcDb96552AB8Bbc7e20b3
First NFT owner address (bech32): 
genesis1gmhu57ydqw37s7w6ekuk254t3w78ug9ndfc7sx
Current NFT ID #498708 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
498708
Accession (UniProt):
Q9LMP1
Name::
Wall-associated receptor kinase 2
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 Q9LMP1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9LMP1|WAK2_ARATH Wall-associated receptor kinase 2 OS=Arabidopsis thaliana OX=3702 GN=WAK2 PE=1 SV=1 MKVQEGLFVVAVFYLAYTQLVKGQPRKECQTRCGNVAVEYPFGTSPGCYYPGDESFNLTCNEQEKLFFGNMPVINMSLSGQLRVRLVRSRVCYDSQGKQTDYIAQRTTLGNFTLSELNRFTVVGCNSYAFLRTSGVEKYSTGCISICDSATTKNGSCSGEGCCQIPVPRGYSFVRVKPHSFHNHPTVHLFNPCTYAFLVEDGMFDFHALEDLNNLRNVTTFPVVLDWSIGDKTCKQVEYRGVCGGNSTCFDSTGGTGYNCKCLEGFEGNPYLPNGCQDINECISSRHNCSEHSTCENTKGSFNCNCPSGYRKDSLNSCTRKVRPEYFRWTQIFLGTTIGFSVIMLGISCLQQKIKHRKNTELRQKFFEQNGGGMLIQRVSGAGPSNVDVKIFTEKGMKEATNGYHESRILGQGGQGTVYKGILPDNSIVAIKKARLGNRSQVEQFINEVLVLSQINHRNVVKVLGCCLETEVPLLVYEFINSGTLFDHLHGSLYDSSLTWEHRLRIATEVAGSLAYLHSSASIPIIHRDIKTANILLDKNLTAKVADFGASRLIPMDKEQLTTIVQGTLGYLDPEYYNTGLLNEKSDVYSFGVVLMELLSGQKALCFERPHCPKNLVSCFASATKNNRFHEIIDGQVMNEDNQREIQEAARIAAECTRLMGEERPRMKEVAAELEALRVKTTKYKWSDQYRETGEIEHLLGVQILSAQGETSSSIGYDSIRNVTTLDIEAGR