O34507 AF NFT

Serine/threonine-protein kinase PrkC

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifhldzxbw7d4u3zxr3vvuusne2pjklxppdsaks2v5vvubpauga77u/metadata.json
IPFS of structure file: 
bafybeicnm7d4aax4voz6eqabuhx7vhkman7p7w3xxnwtk3nn4mlwg4waoi/AF-O34507-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4C61db56A1B4857BDd4290DbD771200A1bB035b4
First NFT owner address (bech32): 
genesis1f3sak44pkjzhhh2zjrdawufqpgdmqdd5hwe3wg
Current NFT ID #308798 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
308798
Accession (UniProt):
O34507
Name::
Serine/threonine-protein kinase PrkC
Experimental Method:
Predicted structure
Sequence source:
BACILLUS SUBTILIS (STRAIN 168)

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 O34507 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O34507|PRKC_BACSU Serine/threonine-protein kinase PrkC OS=Bacillus subtilis (strain 168) OX=224308 GN=prkC PE=1 SV=1 MLIGKRISGRYQILRVIGGGGMANVYLAEDIILDREVAIKILRFDYANDNEFIRRFRREAQSASSLDHPNIVSIYDLGEEDDIYYIVMEYVEGMTLKEYITANGPLHPKEALNIMEQIVSAIAHAHQNQIVHRDIKPHNILIDHMGNIKVTDFGIATALSSTTITHTNSVLGSVHYLSPEQARGGLATKKSDIYALGIVLFELLTGRIPFDGESAVSIALKHLQAETPSAKRWNPSVPQSVENIILKATAKDPFHRYETAEDMEADIKTAFDADRLNEKRFTIQEDEEMTKAIPIIKDEELAKAAGEKEAEVTTAQENKTKKNGKRKKWPWVLLTICLVFITAGILAVTVFPSLFMPKDVKIPDVSGMEYEKAAGLLEKEGLQVDSEVLEISDEKIEEGLMVKTDPKADTTVKEGATVTLYKSTGKAKTEIGDVTGQTVDQAKKALKDQGFNHVTVNEVNDEKNAGTVIDQNPSAGTELVPSEDQVKLTVSIGPEDITLRDLKTYSKEAASGYLEDNGLKLVEKEAYSDDVPEGQVVKQKPAAGTAVKPGNEVEVTFSLGPEKKPAKTVKEKVKIPYEPENEGDELQVQIAVDDADHSISDTYEEFKIKEPTERTIELKIEPGQKGYYQVMVNNKVVSYKTIEYPKDE