Q9SIZ4 AF NFT

Inactive receptor-like serine/threonine-protein kinase At2g40270

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieeadxqlk35jbluz2qo7hepacr3wm323mtkjomv2fjeoq3badotje/metadata.json
IPFS of structure file: 
bafybeigd4tcjw64ugg7szlff4lrkq7ww6xt4wssaebrxqb67xedqwlue2a/AF-Q9SIZ4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7F03E9F55aBE36b392B9aDB35ac1C267e9A2BC53
First NFT owner address (bech32): 
genesis10up7na26hcmt8y4e4ke44swzvl5690znl68nmp
Current NFT ID #510539 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
510539
Accession (UniProt):
Q9SIZ4
Name::
Inactive receptor-like serine/threonine-protein kinase At2g40270
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 Q9SIZ4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9SIZ4|Y2027_ARATH Inactive receptor-like serine/threonine-protein kinase At2g40270 OS=Arabidopsis thaliana OX=3702 GN=At2g40270 PE=2 SV=2 MLFKMRSFVAFVLLLSWFGSCCSLKDQAVDFLKSEDSLKKDLSSDEDSTYLKAFGFHRKTLVRNPYKDLPSRKDRKNRVVAATTTPSSSPEPAPKHVSTKASTVSEPQKRSSTQDVSPSPSAPLANSPIPRNSHSSVPLVVGCVGGAFFLLLVATGLYFFTSKAGKTVNPWRTGLSGQLQKVFVTGIPVLKRSEIEAACEDFSNVIGSCPIGKLFKGTLSSGVEIAVASFATTTAKDWKDSTEIHFRKKIEMLSKINHKNFANLLGYCEEKEPFTRILIFEYAPNGSLFEHLHYKESEHLDWGMRLRIAMGLAYCLDHMHQLNPPIAHTNLVSSSLQLTEDYAVKVSDFSFGSSETETNINNNTVIDTHISALNPEDNIYSFGLLLFEMITGKLIESVNKPDSVDSSLVDFLRGETLAKMVDPTLESYDAKIENIGEVIKSCLRTDPKERPTMQEVTGWLREITGLSPNDATPKLSPLWWAELEVLSTA