Q0WVM4 AF NFT

Probable LRR receptor-like serine/threonine-protein kinase At2g23950

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifhkfge7yvgn3wt4yz5lyo7qo5gdd6jl22vcvha3ir57mied7dbz4/metadata.json
IPFS of structure file: 
bafybeidbhn2ipfa5df5osqkdtdxnomkio45cmzjhahrj2m2apglddqssnq/AF-Q0WVM4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xD12D36D36eCf8dB98378c4D84eC368725Cb3623E
First NFT owner address (bech32): 
genesis16yknd5mwe7xmnqmccnvyasmgwfwtxc37cmw8zy
Current NFT ID #511519 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
511519
Accession (UniProt):
Q0WVM4
Name::
Probable LRR receptor-like serine/threonine-protein kinase At2g23950
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 Q0WVM4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0WVM4|Y2239_ARATH Probable LRR receptor-like serine/threonine-protein kinase At2g23950 OS=Arabidopsis thaliana OX=3702 GN=At2g23950 PE=1 SV=1 MVVMKLITMKIFSVLLLLCFFVTCSLSSEPRNPEVEALINIKNELHDPHGVFKNWDEFSVDPCSWTMISCSSDNLVIGLGAPSQSLSGTLSGSIGNLTNLRQVSLQNNNISGKIPPEICSLPKLQTLDLSNNRFSGEIPGSVNQLSNLQYLRLNNNSLSGPFPASLSQIPHLSFLDLSYNNLRGPVPKFPARTFNVAGNPLICKNSLPEICSGSISASPLSVSLRSSSGRRTNILAVALGVSLGFAVSVILSLGFIWYRKKQRRLTMLRISDKQEEGLLGLGNLRSFTFRELHVATDGFSSKSILGAGGFGNVYRGKFGDGTVVAVKRLKDVNGTSGNSQFRTELEMISLAVHRNLLRLIGYCASSSERLLVYPYMSNGSVASRLKAKPALDWNTRKKIAIGAARGLFYLHEQCDPKIIHRDVKAANILLDEYFEAVVGDFGLAKLLNHEDSHVTTAVRGTVGHIAPEYLSTGQSSEKTDVFGFGILLLELITGMRALEFGKSVSQKGAMLEWVRKLHKEMKVEELVDRELGTTYDRIEVGEMLQVALLCTQFLPAHRPKMSEVVQMLEGDGLAERWAASHDHSHFYHANMSYRTITSTDGNNQTKHLFGSSGFEDEDDNQALDSFAMELSGPR