Q3E884 AF NFT

Putative L-type lectin-domain containing receptor kinase I.10

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidinanfv6ausm63qlx6qs4revozgqz247gl3sgakarfjuhh2q7vhy/metadata.json
IPFS of structure file: 
bafybeido3aeqnghjwwym57qb6nrm2uq2dhhfg4qry5nbdpohfw7zrf3qom/AF-Q3E884-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb4D2d9c96b0D792d0b77e7147D724cc1F801ae58
First NFT owner address (bech32): 
genesis1knfdnjttp4uj6zmhuu286ujvc8uqrtjce36hs0
Current NFT ID #215427 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
215427
Accession (UniProt):
Q3E884
Name::
Putative L-type lectin-domain containing receptor kinase I.10
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 Q3E884 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q3E884|LK110_ARATH Putative L-type lectin-domain containing receptor kinase I.10 OS=Arabidopsis thaliana OX=3702 GN=LECRK110 PE=3 SV=1 MAWGLFQILMISFFHLIKLSSQQETSFVYETFRSQENLYLDGSATVLPNGLLQLTNASDHQMAHVFYKDSIELSSSKPLSFSTHFVCALVPQPGVEGGHGMAFVVSPSMDFSHAESTRYLGIFNVSKNGSPSSNVLAVELDTIWNPDFEDIDHNHVGIDVNSPLSVGTASASYYSDIKGKNESINLLSGHPIQVWVDYEDNMLNVSMAPREVQKPSRPLLSQHINLSDIYPNRRLFVGFSAATGTAISYQYVLSWSFSTSRGSLQRFDISRLPEVPHPRAEHKNLSPLFIDLLGFLAIMGLCTLTGMYFFKRGKYAEITEEWENEFGAHRFSYKSLYKATKGFHKDGFLGKGGFGEVYRGKLLLSREKAVKRMSHDGDQGLKQFVAEVVSMRCLKHRNLVPLLGYCRRKHEFLLVSDYMTNGSLDEHLFDDQKPVLSWPQRLVIIKGIASALCYLHTGADQVVLHRDIKASNIMLDAEFNGRLGDFGMASFHDHGGISDSTCAVGTIGYMAPEILYMGASTRTDVYAFGVFMVEVTCGRRPVEPQLQLEKQILIEWVPESRPTMEQVILYLNQNLPLPDFSPYTVGISNHSSVLIDAASLVASRSWSAASSATNSP