Q0P9D4 AF NFT

UDP-N-acetyl-alpha-D-glucosamine C6 dehydratase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihx2o64jclz2yl6g5bzdgicl752lne5244iku32ov24bdpuxs2wzy/metadata.json
IPFS of structure file: 
bafybeifidzeabr3brxxxiqt74gfkbnjsp5fxnm4gvwq72jtcmqdwjimvia/AF-Q0P9D4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf4ED13986579E8e227b3ED6c02276c648754EC27
First NFT owner address (bech32): 
genesis17nk38xr9085wyfana4kqyfmvvjr4fmp80usw7n
Current NFT ID #296959 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
296959
Accession (UniProt):
Q0P9D4
Name::
UDP-N-acetyl-alpha-D-glucosamine C6 dehydratase
Experimental Method:
Predicted structure
Sequence source:
CAMPYLOBACTER JEJUNI SUBSP. JEJUNI SEROTYPE O:2 (STRAIN ATCC 700819 / NCTC 11168)

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 Q0P9D4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0P9D4|PGLF_CAMJE UDP-N-acetyl-alpha-D-glucosamine C6 dehydratase OS=Campylobacter jejuni subsp. jejuni serotype O:2 (strain ATCC 700819 / NCTC 11168) OX=192222 GN=pglF PE=1 SV=1 MIFYKSKRLAFFLTSDIVLILLSVYLAFSLRFSGDIPSIFYHGMMVSAIILLVLKLSFLFVFRIYKVAWRFFSLNEARKIFIALLLAEFCFFLIFYFFSDFFNPFPRSAIVIDFVLSYMFIGTLRISKRMLVDFKPSRMKEEETPCIVVGATSKALHLLKGAKEGSLGLFPVGVVDARKELIGTYCDKFIVEEKEKIKSYVEQGVKTAIIALRLEQEELKKLFEELVAYGICDVKIFSFTRNEARDISIEDLLARKPKDLDDSAVAAFLKDKVVLVSGAGGTIGSELCKQCIKFGAKHLIMVDHSEYNLYKINDDLNLYKEKITPILLSILDKQSLDEVLKTYKPELILHAAAYKHVPLCEQNPHSAVINNILGTKILCDSAKENKVAKFVMISTDKAVRPTNIMGCTKRVCELYTLSMSDENFEVACVRFGNVLGSSGSVIPKFKAQIANNEPLTLTHPDIVRYFMLVAEAVQLVLQAGAIAKGGELFVLDMGKPVKIIDLAKKMLLLSNRNDLEIKITGLRKGEKLYEELLIDENDAKTQYESIFVAKNEKVDLDWLNKEIENLQICEDISEALLKIVPEFKHNKEGV