Q8DEW2 AF NFT

Polyphosphate kinase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiewat2n3qm3jylpb77nq77qgnboayt4xfr22dvrgfdrmwowkkwpom/metadata.json
IPFS of structure file: 
bafybeicixcsx577oh6eekkc5rrrxoiy6rewbiste2xmd3icymkvto7kse4/AF-Q8DEW2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x465df7875131467ff2726396c9015a010e029Bcc
First NFT owner address (bech32): 
genesis1gewl0p63x9r8lunjvwtvjq26qy8q9x7vhh09d9
Current NFT ID #306958 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
306958
Accession (UniProt):
Q8DEW2
Name::
Polyphosphate kinase
Experimental Method:
Predicted structure
Sequence source:
VIBRIO VULNIFICUS (STRAIN CMCP6)

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 Q8DEW2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8DEW2|PPK1_VIBVU Polyphosphate kinase OS=Vibrio vulnificus (strain CMCP6) OX=216895 GN=ppk PE=3 SV=1 MSADKFYIEKELSWLSFNERVLQEAADKTVPLIERIRFLGIFSNNLDEFYKVRFSDVKRRILINREQGGNDISKHLLSKMQSKALKLNERFDELYNELIRDMARRHIFLVNESQLDEAQQKWIIKYFQKEVLPHITPLMLTDEIDVLQFLKDEYAYIAVELKQQEQAKYALLEIPTDHLPRFIMVPEQKGKRKKTIILLDNIIRFCLNDIFRGFFDYDELNGYAMKMTRDAEYDLRHEVEYSLLEQMSEGLSQRLTALPVRFVYERDMPEDMLKYLCYKLKISHYDSLIPGGRYHNFKDFIAFPNVGRDYLENKPLPPLACADFEGYANAFDAIRNQDILLHYPYHSFEHITELVRQASFDPKVVSIKINVYRVAKNSRLMNSLIDAVHNGKRVTVVVELQARFDEEANIEWSKLLTDAGVHVIFGVPGMKIHAKLLLITRREEQGFVRYAHIGTGNFHERTARIYTDFSLLTADQELAAEVRGVFSYIMNPFRPIKFRHLIVSPRNSRSQLYRLLDREIHNAQAGKKASITLKVNNLVDKGLISKLYAASSAGVKIRMIIRGMCSLVPGLEGISENIEIISIIDRFLEHPRVLVVHNDGDPQVFISSADWMERNIDNRIEVMSPVRDARIKQRIIDILSIQFTDTVKARRIDKEMSNNYVERGNRKKIRSQIAIYDYLKNVEKHTRKQKGQVEPNDNNQ