Q8L7G3 AF NFT

Cysteine-rich receptor-like protein kinase 7

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiakavm66u5x2wdqbo2eb7ynsghpaew7k3kfehtt3trqjfbxk4umzi/metadata.json
IPFS of structure file: 
bafybeidsfaqfi3zj3th7xgokcmh6orcbf6ylsaxmu7jddpld6tys63s64a/AF-Q8L7G3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9e5E98E011361C5888c92e2CDb7652E02Bd5C7Ed
First NFT owner address (bech32): 
genesis1ne0f3cq3xcw93zxf9ckdkajjuq4at3ldwq49kv
Current NFT ID #77283 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
77283
Accession (UniProt):
Q8L7G3
Name::
Cysteine-rich receptor-like protein kinase 7
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 Q8L7G3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8L7G3|CRK7_ARATH Cysteine-rich receptor-like protein kinase 7 OS=Arabidopsis thaliana OX=3702 GN=CRK7 PE=2 SV=1 MSSLFPFIFLFLFSFLTSFRASAQDPRFLAYYCPNATTYSSNSTYLTNLKTLLSSLSSRNASYSTGFQNATVGQALDRVTGLFLCRGDVSPEVCRNCVTFAVNNTFSRCPNQREAVFYYEECILRYSHKNILSTAITNEGEFILRNPNHISPIQNQINQFTNLVLSNMNQIAIEAADNPRKFSTIKTELTALQTFYGLVQCTPDLSRQNCMNCLTSSINRMPFSRIGARQFWPSCNSRYELYDFYNETAIGTPPPPLPPLASPSLSDKSGNSNVVVVAVVVPIIVAVLIFIAGYCFFAKRAKKTYGTTPALDEDDKTTIESLQLDYRAIQAATNDFSENNKIGRGGFGDVYKGTFSNGTEVAVKRLSKTSEQGDTEFKNEVVVVANLRHKNLVRILGFSIEREERILVYEYVENKSLDNFLFDPAKKGQLYWTQRYHIIGGIARGILYLHQDSRLTIIHRDLKASNILLDADMNPKIADFGMARIFGMDQTQQNTSRIVGTYGYMSPEYAMRGQFSMKSDVYSFGVLVLEIISGRKNNSFIETDDAQDLVTHAWRLWRNGTALDLVDPFIADSCRKSEVVRCTHIGLLCVQEDPVKRPAMSTISVMLTSNTMALPAPQQPGFFVRSRPGTNRLDSDQSTTNKSVTVSIDDKSMSDLDPR