Q0KHT7 AF NFT

Death-associated protein kinase related

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiguti2ziby3p63pvb7v65wg23srrs6doqztxecvd5dyscajvdue7y/metadata.json
IPFS of structure file: 
bafybeibncdzt3q2mnawrfk6b54hy4rbajitcwyjharmpeutxqpqu32sgee/AF-Q0KHT7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xB82BBF8d96C5B3247800FA85d8C9E56fE8DbE5c2
First NFT owner address (bech32): 
genesis1hq4mlrvkckejg7qql2za3j09dl5dhewzhxxfam
Current NFT ID #90090 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
90090
Accession (UniProt):
Q0KHT7
Name::
Death-associated protein kinase related
Experimental Method:
Predicted structure
Sequence source:
DROSOPHILA MELANOGASTER

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 Q0KHT7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0KHT7|DAPKR_DROME Death-associated protein kinase related OS=Drosophila melanogaster OX=7227 GN=Drak PE=1 SV=2 MFTEKGIFPIGDGLLDVDADRLKGLLVSCPDINEIYEVEQTPFARGKFAAVRRAIHKNTGSHFAAKFLKRRRRAQSSDKEIKHEIAVLMLCEGEDNIVNLNAVHETRSDTALLLELATGGELQTILDNEECLTEAQARHCMREVLKALKFLHDRSIAHLDLKPQNILLAGERIEDGLKLCDFGISRVVCEGINVREMAGTPDYVAPEVLQYEPLSLLTDIWSVGVLTYVLLSGFSPFGGDTKQETFLNISQCALTFPDNLFGGVSPVAIDFIRRALRIKPNDRMNATGCLDHIWLKDDCSLDRQIYLQPQSDAEEEEEEDVDDDVEDEEEEEQVEEEEEETQNVEEPTTEAPQQQQQPVQQHQLAKSGQIHSKPTHNGHHRANSGGSISKIPIATSKLQSTPSSETTTAIHTLTSNSNGHVHKPTQIVTPTRRASDSDKENTYTATFVKKPVATIQLGSSNGIEDATVVATLTLFPDAPTTPKVIRKTPTGESNGSATSVKALVKKFQLEDSSGSAVARRSGGAVTSSSGLHSPTTTSVRLNSIRRASEPLTTVYKKQTSQNGCSSTSNPSSSPGSSPTTSGSTATLLIHSQRLGNSTAPASHCVAVPATATATSSASSSNSSSGKSTSAAHHLHHHHMHHHHHHHHHHVVIAAKNAAAVAATNNLSLDQGIIC