Q8RX80 AF NFT

Cysteine-rich receptor-like protein kinase 18

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif6ogfptuxsuudvlrknxta6bmzxwwtaiuuts4ebsokirikwp53eoy/metadata.json
IPFS of structure file: 
bafybeibs7ywh2q5gk5446nuj5w4qlkif6vra6nj2v6vvtozhdaiw5n435e/AF-Q8RX80-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x407F95e705Dc2c05f8619606Ca4E9f2a932659E6
First NFT owner address (bech32): 
genesis1gpletec9mskqt7rpjcrv5n5l92fjvk0xdfm55q
Current NFT ID #77247 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
77247
Accession (UniProt):
Q8RX80
Name::
Cysteine-rich receptor-like protein kinase 18
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 Q8RX80 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8RX80|CRK18_ARATH Cysteine-rich receptor-like protein kinase 18 OS=Arabidopsis thaliana OX=3702 GN=CRK18 PE=2 SV=2 MATKSCELVLCFFVFFVISFSAISVSAQTCDNTTGTFIPNSPYDKNRRLILSTLASNVTAQEGYFIGSIGIAPDQVFATGMCAPGSERDVCSLCIRSTSESLLQSCLDQADAFFWSGEETLCLVRYANRPFSGLLVMDPLGAIFNTGELNTNQTVFDIEWNNLTSSMIAGITSSSSGGNNSSKYYSDDIALVPDFKNISALMQCTPDVSSEDCNTCLRQNVVDYDNCCRGHQGGVMSRPNCFFRWEVYPFSGAIDQINLPKSPPPSVTSPSPIANITKNDSRISGGKIAAIVVVTVVTIILVVLGFVISNRRKQKQEMDLPTESVQFDLKTIESATSNFSERNKLGKGGFGEVYKGMLMNGTEIAVKRLSKTSGQGEVEFKNEVVVVAKLQHINLVRLLGFSLQGEEKLLVYEFVSNKSLDYFLFDPTKRNQLDWTMRRNIIGGITRGILYLHQDSRLKIIHRDLKASNILLDADMNPKIADFGMARIFGVDQTVANTGRVVGTFGYMSPEYVTHGQFSMKSDVYSFGVLILEIISGKKNSSFYQMDGLVNNLVTYVWKLWENKSLHELLDPFINQDFTSEEVIRYIHIGLLCVQENPADRPTMSTIHQMLTNSSITLPVPLPPGFFFRNGPGSNPGQSNSKSFACSVDEATITDVNPR