Q7M9C2 AF NFT

ATP-dependent 6-phosphofructokinase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiepqkz5j4ggeecvgmdjjn7y3lz7z3sxskh2tk6birjslcxoehdupm/metadata.json
IPFS of structure file: 
bafybeigvqnuiq3mhbzujnvgr5maral4qrfz4gy6gkob4txiklkos3bmtlm/AF-Q7M9C2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbDA05C32aD6eE153C8C5A78dfa48d7Ba25694fea
First NFT owner address (bech32): 
genesis1hks9cv4ddms48jx957xl5jxhhgjkjnl2ggp9vq
Current NFT ID #295783 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
295783
Accession (UniProt):
Q7M9C2
Name::
ATP-dependent 6-phosphofructokinase
Experimental Method:
Predicted structure
Sequence source:
WOLINELLA SUCCINOGENES (STRAIN ATCC 29543 / DSM 1740 / LMG 7466 / NCTC 11488 / FDC 602W)

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 Q7M9C2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7M9C2|PFKA_WOLSU ATP-dependent 6-phosphofructokinase OS=Wolinella succinogenes (strain ATCC 29543 / DSM 1740 / LMG 7466 / NCTC 11488 / FDC 602W) OX=273121 GN=pfkA PE=3 SV=1 MRIGLVCSGGDCAGMNPATKKFVEYSLELGYEPYFIREGLEGLIEGKIEPATLKEVSGILHKGGTILQSSRSKRFFDPAFRLQAYQNLQRHSIEALVTLGGDGSFRAMEVLAKEHSLLYAGIPATIDNDIRASDYALGVDSALNVILESTDRLRDTAESFRRAFVVEVMGRDCGYLALASAIACGAEVCIIPEMGYSLQSLGARLKEELGTGKRRYVLAIVSEGAKASSEVVSWLKEEVGIETRITILGHVQRGGSPSVYDRLMGFRFMQKALDSLSLGKSGVVVLREGRVEFLSSQEASSAPASLPLDMVRLASRLMF