Q9LVM0 AF NFT

Probable inactive receptor kinase At5g58300

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihkxpf7hvj54wkuov6lk63ktnav4vgljr65pjish2rap5l6vyvwii/metadata.json
IPFS of structure file: 
bafybeibpm2bpb6glc2il6j4rv2a7xdcy7ihgqjzbccg44s56xpfagkq45i/AF-Q9LVM0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9e5E98E011361C5888c92e2CDb7652E02Bd5C7Ed
First NFT owner address (bech32): 
genesis1ne0f3cq3xcw93zxf9ckdkajjuq4at3ldwq49kv
Current NFT ID #519846 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
519846
Accession (UniProt):
Q9LVM0
Name::
Probable inactive receptor kinase At5g58300
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 Q9LVM0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9LVM0|Y5830_ARATH Probable inactive receptor kinase At5g58300 OS=Arabidopsis thaliana OX=3702 GN=At5g58300 PE=1 SV=1 MMQFHFQFYVGPVFTLRPSKGFLSTCLVSFLFVTTTFCSYAIADLNSDRQALLAFAASVPHLRRLNWNSTNHICKSWVGVTCTSDGTSVHALRLPGIGLLGPIPPNTLGKLESLRILSLRSNLLSGNLPPDIHSLPSLDYIYLQHNNFSGEVPSFVSRQLNILDLSFNSFTGKIPATFQNLKQLTGLSLQNNKLSGPVPNLDTVSLRRLNLSNNHLNGSIPSALGGFPSSSFSGNTLLCGLPLQPCATSSPPPSLTPHISTPPLPPFPHKEGSKRKLHVSTIIPIAAGGAALLLLITVIILCCCIKKKDKREDSIVKVKTLTEKAKQEFGSGVQEPEKNKLVFFNGCSYNFDLEDLLRASAEVLGKGSYGTAYKAVLEESTTVVVKRLKEVAAGKREFEQQMEIISRVGNHPSVVPLRAYYYSKDEKLMVCDYYPAGNLSSLLHGNRGSEKTPLDWDSRVKITLSAAKGIAHLHAAGGPKFSHGNIKSSNVIMKQESDACISDFGLTPLMAVPIAPMRGAGYRAPEVMETRKHTHKSDVYSFGVLILEMLTGKSPVQSPSRDDMVDLPRWVQSVVREEWTSEVFDIELMRFQNIEEEMVQMLQIAMACVAQVPEVRPTMDDVVRMIEEIRVSDSETTRPSSDDNSKPKDSNVQV