Q8S8N4 AF NFT

Probably inactive receptor-like protein kinase At2g46850

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidels2rioh5blvx3etjysbrtybwy44s7szcvblgmhs4ldixyxkwdu/metadata.json
IPFS of structure file: 
bafybeig3kgqceuaylzsozfjnfmx2kpvx4kqqfspbd2ip6xu6e2ivbo34xm/AF-Q8S8N4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xB44F19a0cb161828322eEEd13F55d4C3C34938d2
First NFT owner address (bech32): 
genesis1k383ngxtzcvzsv3wamgn74w5c0p5jwxjy9e46q
Current NFT ID #513330 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
513330
Accession (UniProt):
Q8S8N4
Name::
Probably inactive receptor-like protein kinase At2g46850
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 Q8S8N4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8S8N4|Y2685_ARATH Probably inactive receptor-like protein kinase At2g46850 OS=Arabidopsis thaliana OX=3702 GN=At2g46850 PE=3 SV=1 MPPLFLPSSSSALFLLLLLLLTLQTLTSISLSQPQALRSPEKCGNFSVSFPFQLSSSSSAAAFRLSCENSSTLFLHINHQSYRIIEFFTDGLLVDFPSSPSCRQFNDLRSFPFSANQFFSISFENVIGLYDCEDSSLCKFGCETNDLFGCDGREEDETSGGDIGCCYPLSDHSAWRVGDDFSVFSRYGCRGFSSWLVPRGTNRGKRGVKLEWAIPRNSPEAICDREARTVNATAIEGSVRCVCRDGFVGDGFLHGTGCLKSCFKDGKELYGDKCKIKKHNGKKLTVLAGVLAPLFILGSLLALFCLLKRPVTSHKDQQFDISTTTTTTNSVSFRKGYNKTRLFTYRELEEATKGFQDSQKLTQGKTGTIYSGNLTNGTRVIVHKVLCENQIEFMEISSQIDHLSAVLHRNLARIIGFCMDIGYNPLVVYEYPVNGSLGDRLRLGLDWCKRVNIVAEVAGLLALLQYENYPPILHTNISSGNIFLDEDFQAKVTGFGLQRKQRIDTSMYDFAVLLLEIVTGLKQREETVTQALQKIRSGKLEEIVDPSMYFHEQPVAFREQIGLVADIATRCVLFGGDGKFGMVDAARELLQIAGNNGGGGCDKKRDGIEETFSNSSLLQMISMSPDSIYLPKT