Q9C9Y8 AF NFT

Probable inactive receptor kinase At3g08680

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibx4c5bu5usse3wdltgtjjotj4d22vwyua77r44dnrwkxchibttau/metadata.json
IPFS of structure file: 
bafybeieaivowcddqe452otu67wovz7llpjj325zbma33fj4mgxdurs6wue/AF-Q9C9Y8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf23FAc8E9E29c5e2e2c0614b611FB353464fD274
First NFT owner address (bech32): 
genesis17gl6er5798z79ckqv99kz8an2dryl5n5tyzjl4
Current NFT ID #516446 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
516446
Accession (UniProt):
Q9C9Y8
Name::
Probable inactive receptor kinase At3g08680
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 Q9C9Y8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9C9Y8|Y3868_ARATH Probable inactive receptor kinase At3g08680 OS=Arabidopsis thaliana OX=3702 GN=At3g08680 PE=1 SV=1 MMKIIAAFLFLLVTTFVSRCLSADIESDKQALLEFASLVPHSRKLNWNSTIPICASWTGITCSKNNARVTALRLPGSGLYGPLPEKTFEKLDALRIISLRSNHLQGNIPSVILSLPFIRSLYFHENNFSGTIPPVLSHRLVNLDLSANSLSGNIPTSLQNLTQLTDLSLQNNSLSGPIPNLPPRLKYLNLSFNNLNGSVPSSVKSFPASSFQGNSLLCGAPLTPCPENTTAPSPSPTTPTEGPGTTNIGRGTAKKVLSTGAIVGIAVGGSVLLFIILAIITLCCAKKRDGGQDSTAVPKAKPGRSDNKAEEFGSGVQEAEKNKLVFFEGSSYNFDLEDLLRASAEVLGKGSYGTTYKAILEEGTTVVVKRLKEVAAGKREFEQQMEAVGRISPHVNVAPLRAYYFSKDEKLLVYDYYQGGNFSMLLHGNNEGGRAALDWETRLRICLEAARGISHIHSASGAKLLHGNIKSPNVLLTQELHVCVSDFGIAPLMSHHTLIPSRSLGYRAPEAIETRKHTQKSDVYSFGVLLLEMLTGKAAGKTTGHEEVVDLPKWVQSVVREEWTGEVFDVELIKQQHNVEEEMVQMLQIAMACVSKHPDSRPSMEEVVNMMEEIRPSGSGPGSGNRASSPEMIRSSDSPV