P9WI66 AF NFT

Serine/threonine-protein kinase PknJ

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicsbqqosfd3ttk6uxtxtepfleiogvbgqoqotbp33jb3v4fbw2tb2u/metadata.json
IPFS of structure file: 
bafybeiarauj3rykovrlvsjmoa7wxhvgohj75jzoxrqffrjhumh37c2vs54/AF-P9WI66-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x64E3FBA566A8615E822A975222Ed2beFd3a0A755
First NFT owner address (bech32): 
genesis1vn3lhftx4ps4aq32jafz9mftalf6pf64x9cuw7
Current NFT ID #300637 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
300637
Accession (UniProt):
P9WI66
Name::
Serine/threonine-protein kinase PknJ
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM TUBERCULOSIS (STRAIN CDC 1551 / OSHKOSH)

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 P9WI66 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WI66|PKNJ_MYCTO Serine/threonine-protein kinase PknJ OS=Mycobacterium tuberculosis (strain CDC 1551 / Oshkosh) OX=83331 GN=pknJ PE=1 SV=1 MAHELSAGSVFAGYRIERMLGAGGMGTVYLARNPDLPRSEALKVLAAELSRDLDFRARFVREADVAAGLDHPNIVAVHQRGQFEGRLWIAMQFVDGGNAEDALRAATMTTARAVYVIGEVAKALDYAHQQGVIHRDIKPANFLLSRAAGGDERVLLSDFGIARALGDTGLTSTGSVLATLAYAAPEVLAGQGFDGRADLYSLGCALFRLLTGEAPFAAGAGAAVAVVAGHLHQPPPTVSDRVPGLSAAMDAVIATAMAKDPMRRFTSAGEFAHAAAAALYGGATDGWVPPSPAPHVISQGAVPGSPWWQHPVGSVTALATPPGHGWPPGLPPLPRRPRRYRRGVAAVAAVMVVAAAAVTAVTMTSHQPRTATPPSAAALSPTSSSTTPPQPPIVTRSRLPGLLPPLDDVKNFVGIQNLVAHEPMLQPQTPNGSINPAECWPAVGGGVPSAYDLGTVIGFYGLTIDEPPTGTAPNQVGQLIVAFRDAATAQRHLADLASIWRRCGGRTVTLFRSEWRRPVELSTSVPEVVDGITTMVLTAQGPVLRVREDHAIAAKNNVLVDVDIMTPDTSRGQQAVIGITNYILAKIPG