P26819 AF NFT

Beta-adrenergic receptor kinase 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihpzlwa6qd2j35tyhcqsr62espdddc3emargg76u3jlxr2em6u6qa/metadata.json
IPFS of structure file: 
bafybeicc45luapozpte6r2qu54eo2kwwxovtukgnlmy5ackd7pqp6uor5i/AF-P26819-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x78Cc7f9BF18AF8279e492D45EE7Fe9d7cC6f6D07
First NFT owner address (bech32): 
genesis10rx8lxl33tuz08jf94z7ullf6lxx7mg8844d65
Current NFT ID #20064 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
20064
Accession (UniProt):
P26819
Name::
Beta-adrenergic receptor kinase 2
Experimental Method:
Predicted structure
Sequence source:
RATTUS NORVEGICUS

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 P26819 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P26819|ARBK2_RAT Beta-adrenergic receptor kinase 2 OS=Rattus norvegicus OX=10116 GN=Grk3 PE=1 SV=1 MADLEAVLADVSYLMAMEKSKATPAARASKKVVLPEPSIRSVMQRYLAERNEITFDKIFNQKIGFLLFKDFCLNEIGEAVPQVKFYEEIKEYEKLDNEEDRLHRSRQMYDAYIMRELLSSTHQFSKQAVEHVQSHLSKKQVTPTLFQPYIEEICESLRGDIFQKFMESEKFTRFCQWKNVELNIHLSMNDFSVHRIIGRGGFGEVYGCRKADTGKMYAMKCLDKKRVKMKQGETLALNERIMLSLVSTGDCPFIVCMTYAFHTPDKLCFILDLMNGGDMHYHLSQHGVFSEKEMRFYASEIILGLEHMHTCFVVYRDLKPANILLDEYGHVRISDLGLACDFSKKKPHASVGTHGYMAPEVLQKGTCYDSSADWFSLGCMLFKLLRGHSPFRQHKTKDKHEIDRMTLTVNVQLPDAFSPELRSLLEGLLQRDVSQRLGCYGGGARELKEHIFFKGIDWQYVYLRKYPPPLIPPRGEVNAADAFDIGSFDEEDTKGIKLLDCDQDLYKNFPLMISERWQQEVVETIYDAVNAETDKIEARKKAKNKQLCQEEDYAMGKDCIMHGYMLKLGNPFLTQWQRRYFYLFPNRLEWRGEGESRQNLLTMEQIMSVEETQIKDRKCILLRVKGGKQFVLQCESDPEFAQWLKELTCTFNEAQRLLRRAPKFLNKPRAAILEFSKPPLCHRNSSGL