O97627 AF NFT

Beta-adrenergic receptor kinase 1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidl2ewd5vdw6wgqepd5xdgxavfhosmbecpncuevnnim7rxogoq7oq/metadata.json
IPFS of structure file: 
bafybeibjtwyul2mjyyxczduskoawmmc6lz5rvaru7jtuc6qui4abbdmjgq/AF-O97627-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x854ad781199A212d19Dd032f3824790C70285191
First NFT owner address (bech32): 
genesis1s49d0qgengsj6xwaqvhnsfrep3czs5v30n9wj5
Current NFT ID #20056 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
20056
Accession (UniProt):
O97627
Name::
Beta-adrenergic receptor kinase 1
Experimental Method:
Predicted structure
Sequence source:
Didelphis virginiana

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 O97627 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O97627|ARBK1_DIDVI Beta-adrenergic receptor kinase 1 OS=Didelphis virginiana OX=9267 GN=GRK2 PE=1 SV=1 MADLEAVLADVSYLMAMEKSKATPAARASKKILLPEPSIRSVMQKYLEDRGEVTFEKIFSQKLGYLLFREFCLNHMEEAKPLVEFYDEIKKYEKLDSEEERTVKSREIFDLYIMKELLSCSHLFSKSATEHVQSRLLKKQVPTDLFQPYIEEICQRFRDDVFQKFIESEKFTRFCQWKNVELNIHLTMNDFSVHRIIGRGGFGEVYGCRKADTGKMYAMKCLDKKRIKMKQGETLALNERIMLSLVSTGDCPFIVCMSYAFHTPDKLSFILDLMNGGDLHYHLSQHGVFSESDMRFYAAEIILGLEHMHSRFVVYRDLKPANILLDEFGHVRISDLGLACDFSKKKPHASVGTHGYMAPEVLQKGVAYDSSADWFSLGCMLFKLLRGHSPFRQHKTKDKHEIDRMTLTMAVELPDSFSPELRSLLEGLLQRDVNRSLGCLGRGAQEVKEDPFFKAVDWQMVLLQKYPPPLIPPRGEVNAADAFDIGSFDEEDTKGIKLLDSDQELYRNFPLTISERWQQEVAETVFDTVNSETDRLEARKKAKNKQLGHEDDYALGKDCIMHGYMSKMGNPFLTQWQRRYFYLFPNRLEWRAEGEAPQSLLTMEEIQSVEETQIKDRKCILLKIRGGKQFILQCDSDPELVQWKKELRDVYREAQQLLQRVPKMKNKPRSPVVELSKMPLTQRGSANGL