Q9M0X5 AF NFT

Cysteine-rich receptor-like protein kinase 25

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeican3ymqkklpvaf5iivbfwapcokqm7goilaqyju7ano67ohpomfcm/metadata.json
IPFS of structure file: 
bafybeicpy2alfgjrdur3fpyg5wfeblboee7u5sgj5dwpcykfwn6p7fuzru/AF-Q9M0X5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbED36fF85b74c1f1C5C0747dC2672feb50DA37A0
First NFT owner address (bech32): 
genesis1hmfkl7zmwnqlr3wqw37uyee0adgd5daq4vns2v
Current NFT ID #77257 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
77257
Accession (UniProt):
Q9M0X5
Name::
Cysteine-rich receptor-like protein kinase 25
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 Q9M0X5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9M0X5|CRK25_ARATH Cysteine-rich receptor-like protein kinase 25 OS=Arabidopsis thaliana OX=3702 GN=CRK25 PE=3 SV=1 MSSCFKSSVSLFSVFLFMILKTVTSDPTYLYHICPNTTTYSRNSSYLTNLRTVLSSLSSPNAAYASLFDNAAAGEENDSNRVYGVFLCRGDVSAEICRDCVAFAANETLQRCPREKVAVIWYDECMVRYSNQSIVGQMRIRPGVFLTNKQNITENQVSRFNESLPALLIDVAVKAALSSRKFATEKANFTVFQTIYSLVQCTPDLTNQDCESCLRQVINYLPRCCDRSVGGRVIAPSCSFRYELYPFYNETIAAAPMAPPPSSTVTAPPLNIPSEKGKGKNLTVIVTAIAVPVSVCVLLLGAMCWLLARRRNNKLSAETEDLDEDGITSTETLQFQFSAIEAATNKFSESNKLGHGGFGEVYKGQLITGETVAIKRLSQGSTQGAEEFKNEVDVVAKLQHRNLAKLLGYCLDGEEKILVYEFVPNKSLDYFLFDNEKRRVLDWQRRYKIIEGIARGILYLHRDSRLTIIHRDLKASNILLDADMHPKISDFGMARIFGVDQTQANTKRIVGTYGYMSPEYAIHGKYSVKSDVYSFGVLVLELITGKKNSSFYEEDGLGDLVTYVWKLWVENSPLELVDEAMRGNFQTNEVIRCIHIALLCVQEDSSERPSMDDILVMMNSFTVTLPIPKRSGFLLRTMKDSRDPRSGGSASDHSATSKSLPLSVDDSSITIVYPR