Q6DFJ6 AF NFT

Serine/threonine-protein kinase TBK1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidizhykdgtuv373zwdyeacmxubacz6rpltby4tjesqzudjyvi2qeu/metadata.json
IPFS of structure file: 
bafybeif37j2jqqxmuddc5hpbv3gib2augqc5r75sadflldth2m6wclrmiu/AF-Q6DFJ6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x362a6d063b1B7E1B6EfD3A9A7CA3612e3FE037AA
First NFT owner address (bech32): 
genesis1xc4x6p3mrdlpkmha82d8egmp9cl7qda2uxz2xy
Current NFT ID #459445 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
459445
Accession (UniProt):
Q6DFJ6
Name::
Serine/threonine-protein kinase TBK1
Experimental Method:
Predicted structure
Sequence source:
XENOPUS LAEVIS

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 Q6DFJ6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6DFJ6|TBK1_XENLA Serine/threonine-protein kinase TBK1 OS=Xenopus laevis OX=8355 GN=tbk1 PE=2 SV=1 MQSTANYLWMLSDILGQGATANVYRGRNKKTGDLYAVKVFNSLSFQRPADVQMREFEVLKKLNHKNIVKLFAIEEEMSSRHKVLVMEFCPCASLYSVLEEPTNSYGLPESEFLIVSRDVVAGMNHLRENGIIHRDIKPGNIMREIGEDGKSVYKLTDFGAARELEDDEQFVSLYGTEEYLHPDMYERAVLRKEHQKKYSATVDLWSIGVTFYHAATGSLPFRPFEGPRRNKEVMYKIIAGKPSGAISGVQRAENGPIEWSGELPATCNLSMGLQTLFTPVLANILEADQEKCWGFEQFFAVTNDIFNRIVVHVFSLQQMTPHKIYINTYDKVPDFHDLVYKQTKIPGQNQELLFEGRRLVLEQGRLAQHFPITTDENPIFVLTREMVSVIGLRFDEIVIPKPISHYDLDVDANMAKAVTGVACYYCRIAASLLLVLDLMRKGIRWLSELMKEEYNENVHRNTEVSLKLNFCNRTTEKDLKIYEQLMQTSVESEVYAIHAKLLNLSSTQEGLKSSLQEVKNKLTPGGTLMDSWINTEGIHAADRNVEKLQVLLSLITEIYCQFKKDKAQRRLSYNEEQIHKFDKQKLCLHAAKAYSLFKDECVGKYEVFRSKTLEWMRKMIHVRKQLFSIKSKCFDIEEEASKCQHYINQYQEKMSPKMFAAPSGMKSAVNPIYSSPNTLVEMTLGMRKLKEDMEGVVKELEENNHILERFGALTIDGDFRNVDCI