Q9ZM10 AF NFT

Polyphosphate kinase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeid7w7f35c5qp3sktnwstju7vrjgld4vx24nxqclxque4rs4md6g7y/metadata.json
IPFS of structure file: 
bafybeid23pg57ig3qbmvvybqydnprgojg6g3yuerfr452fhqixa4vpgdf4/AF-Q9ZM10-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3A8dF082431E1C5999A742B17109c441A22E58fb
First NFT owner address (bech32): 
genesis182xlpqjrrcw9nxd8g2chzzwygx3zuk8m7g5duk
Current NFT ID #306912 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
306912
Accession (UniProt):
Q9ZM10
Name::
Polyphosphate kinase
Experimental Method:
Predicted structure
Sequence source:
HELICOBACTER PYLORI (STRAIN J99 / ATCC 700824)

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 Q9ZM10 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9ZM10|PPK1_HELPJ Polyphosphate kinase OS=Helicobacter pylori (strain J99 / ATCC 700824) OX=85963 GN=ppk PE=3 SV=1 MNRFFNRELSWLAFNTRVLNEAKDESLPLLERLKFLAIYDTNLDEFYMIRVAGLKQLYEHKIASKGIDGASPEEQLEKIKHYLAHEIEERELEFQKIQALLFKKGLCITPYNELNLEQKAKAKTYFKEQLYALVLPFKLDSSHTFPPLANLTFALFAHIKDKETQSASYALIKLPSFIFRFVELEKGLFALAEEIVEAHLEELFLEHEILDCMAFRVTCDADIAITEDEAHDYADLMSKSLRKRNQGEIVRLQTQKGSQELLKTLLASLRSFQTHSYKKHKLTGMHIYKSAIMLNLGDLWELVNHSDFKALKSPNFTPKIHPHFNENDLFKSIEKQDLLLFHPYESFEPVIDLIEQAASDPTTLSIKMTLYRVGKHSPIVKALIEAASKIQVSVLVELKARFDEESNLHWAKALERAGALVVYGVFKLKVHAKMLVITKKTDNQLRHFTHLSTGNYNPLSAKIYTDVSFFSAKNEIANDIIKLFHSLLTSSATSNTLETLFMAPKQIKPKIIELIQNEMNHKQEGYIILKANALVDSEIIEWLYQASQKGVKIDLIIRGICCLKPQVKGLSENIRVYSIVGKYLEHARIYYFKHENIYFSSADLMPRNLERRVELLIPATNPKIANKLLHILEIQLKDTLKRYELNSKGRYAKISNPNDPLNSQDYFEKQALKTL