Q9LZM4 AF NFT

Wall-associated receptor kinase-like 20

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihjhjaccwcbsuk4oem7b3us5ligfplzau6kn66pv3xbfpjhpl63ja/metadata.json
IPFS of structure file: 
bafybeiaoj7z4kmvdvf3b2v3vdmbfn4xkn7xmdngnqc5gswnnjg3bnjfvhm/AF-Q9LZM4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x45a468Feb33D79C55c3fD400Cd3123718670320C
First NFT owner address (bech32): 
genesis1gkjx3l4n84uu2hpl6sqv6vfrwxr8qvsvqayttw
Current NFT ID #498728 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
498728
Accession (UniProt):
Q9LZM4
Name::
Wall-associated receptor kinase-like 20
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 Q9LZM4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9LZM4|WAKLQ_ARATH Wall-associated receptor kinase-like 20 OS=Arabidopsis thaliana OX=3702 GN=WAKL20 PE=2 SV=1 MEKKRSYYALLIPTLLTVWLACAGHSCARHAKAKPPMAGPPRCPNCGPMVVPYPLSTGPTCGDQAYRINCVGGKLYFGALHGSSYVITSINSVTQRIVLRPPGLASSVSCISADVSKQGLELDPHLPFSITSSNTILLLNCSQAMLQAPIDCSPTSLCYSYIKNNASPCSKAPLCCTFRTDGSQTAYTIRINGGGCLAYQSFVGLNPNKEVPPPGKKWPDTGLELQWALPKEPVCKTDVDCNLLLGKSKCLPDPTSLGLKRCSCKKGLEWDPVNAICGKCRHGKHCKKKKKTVVFAGAAVAVVGVTLAIAVAVIGTKHSHQKVKKDIHKNIVKEREEMLSANSTGKSSRIFTGREITKATNNFSKDNLIGTGGFGEVFKAVLEDGTITAIKRAKLNNTKGTDQILNEVRILCQVNHRSLVRLLGCCVDLELPLLIYEFIPNGTLFEHLHGSSDRTWKPLTWRRRLQIAYQTAEGLAYLHSAAQPPIYHRDVKSSNILLDEKLNAKVSDFGLSRLVDLTETANNESHIFTGAQGTLGYLDPEYYRNFQLTDKSDVYSFGVVLLEMVTSKKAIDFTREEEDVNLVMYINKMMDQERLTECIDPLLKKTANKIDMQTIQQLGNLASACLNERRQNRPSMKEVADEIEYIINILSQEVTET