Q9LSI9 AF NFT

Inactive LRR receptor-like serine/threonine-protein kinase BIR2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifjcmfes4x2meamiceadkwmpqnnf3pp2sc3ndkbrz6k63fvja53ei/metadata.json
IPFS of structure file: 
bafybeicxxawgysmp6g2fihbk3zvpjnpekjfegwhraqr5gw53b4zubdifk4/AF-Q9LSI9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x02341c70C616cfDFAF546e41Ec04921b9fEa2575
First NFT owner address (bech32): 
genesis1qg6pcuxxzm8alt65deq7cpyjrw075ft4e73t93
Current NFT ID #44731 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
44731
Accession (UniProt):
Q9LSI9
Name::
Inactive LRR receptor-like serine/threonine-protein kinase BIR2
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 Q9LSI9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9LSI9|BIR2_ARATH Inactive LRR receptor-like serine/threonine-protein kinase BIR2 OS=Arabidopsis thaliana OX=3702 GN=BIR2 PE=1 SV=1 MKEIGSKPRKLLPLCFIIFLCFCSSVMAADEDDIRCLRGLKASLTDPQNALKSWNFDNTTLGFLCNFVGVSCWNNQENRVINLELRDMGLSGKIPDSLQYCASLQKLDLSSNRLSGNIPTELCNWLPFLVSLDLSNNELNGEIPPDLAKCSFVNSLVLSDNRLSGQIPVQFSALGRLGRFSVANNDLSGRIPVFFSSPSYSSDDFSGNKGLCGRPLSSSCGGLSKKNLGIIIAAGVFGAAASMLLAFGIWWYYHLKWTRRRRSGLTEVGVSGLAQRLRSHKLTQVSLFQKPLVKVKLGDLMAATNNFNSENIIVSTRTGTTYKALLPDGSALAVKHLSTCKLGEREFRYEMNQLWELRHSNLAPLLGFCVVEEEKFLVYKYMSNGTLHSLLDSNRGELDWSTRFRIGLGAARGLAWLHHGCRPPILHQNICSSVILIDEDFDARIIDSGLARLMVPSDNNESSFMTGDLGEFGYVAPEYSTTMLASLKGDVYGLGVVLLELATGLKAVGGEGFKGSLVDWVKQLESSGRIAETFDENIRGKGHDEEISKFVEIALNCVSSRPKERWSMFQAYQSLKAIAEKQGYSFSEQDDDFPLIFDTQENEKV