P9WI67 AF NFT

Serine/threonine-protein kinase PknJ

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeient4v76dmulx5svbzhhrb3tic4nseuf7agjawj42xf7jeymfrdyu/metadata.json
IPFS of structure file: 
bafybeiabo66n6qtfp5e5khbarjxy2jxj7cxxrpscwkufqpto5uijxw3caa/AF-P9WI67-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3d4E27cf9065B918518565E961f228A07fD3933F
First NFT owner address (bech32): 
genesis1848z0nusvku3s5v9vh5kru3g5pla8yelumkvae
Current NFT ID #300638 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
300638
Accession (UniProt):
P9WI67
Name::
Serine/threonine-protein kinase PknJ
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM TUBERCULOSIS (STRAIN ATCC 25618 / H37RV)

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 P9WI67 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WI67|PKNJ_MYCTU Serine/threonine-protein kinase PknJ OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=pknJ PE=1 SV=1 MAHELSAGSVFAGYRIERMLGAGGMGTVYLARNPDLPRSEALKVLAAELSRDLDFRARFVREADVAAGLDHPNIVAVHQRGQFEGRLWIAMQFVDGGNAEDALRAATMTTARAVYVIGEVAKALDYAHQQGVIHRDIKPANFLLSRAAGGDERVLLSDFGIARALGDTGLTSTGSVLATLAYAAPEVLAGQGFDGRADLYSLGCALFRLLTGEAPFAAGAGAAVAVVAGHLHQPPPTVSDRVPGLSAAMDAVIATAMAKDPMRRFTSAGEFAHAAAAALYGGATDGWVPPSPAPHVISQGAVPGSPWWQHPVGSVTALATPPGHGWPPGLPPLPRRPRRYRRGVAAVAAVMVVAAAAVTAVTMTSHQPRTATPPSAAALSPTSSSTTPPQPPIVTRSRLPGLLPPLDDVKNFVGIQNLVAHEPMLQPQTPNGSINPAECWPAVGGGVPSAYDLGTVIGFYGLTIDEPPTGTAPNQVGQLIVAFRDAATAQRHLADLASIWRRCGGRTVTLFRSEWRRPVELSTSVPEVVDGITTMVLTAQGPVLRVREDHAIAAKNNVLVDVDIMTPDTSRGQQAVIGITNYILAKIPG