Q660A8 AF NFT

UDP-N-acetylglucosamine--N-acetylmuramyl-(pentapeptide) pyrophosphoryl-undecaprenol N-acetylglucosamine transferase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiddfsu4orpo2ngskkgoe4fm4zokepiylqtve3ehlxhibmjfktumgy/metadata.json
IPFS of structure file: 
bafybeigzjstnptcsyyauvk2abv5e3keymbd26g7ah3d3hioe2oizrx7v34/AF-Q660A8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x94AA95F893B4A9504df68b74731983419e54EBc3
First NFT owner address (bech32): 
genesis1jj4ft7ynkj54qn0k3d68xxvrgx09f67rv7vnae
Current NFT ID #252159 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
252159
Accession (UniProt):
Q660A8
Name::
UDP-N-acetylglucosamine--N-acetylmuramyl-(pentapeptide) pyrophosphoryl-undecaprenol N-acetylglucosamine transferase
Experimental Method:
Predicted structure
Sequence source:
Borrelia garinii subsp. bavariensis (strain ATCC BAA-2496 / DSM 23469 / PBi)

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 Q660A8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q660A8|MURG_BORGP UDP-N-acetylglucosamine--N-acetylmuramyl-(pentapeptide) pyrophosphoryl-undecaprenol N-acetylglucosamine transferase OS=Borrelia garinii subsp. bavariensis (strain ATCC BAA-2496 / DSM 23469 / PBi) OX=290434 GN=murG PE=3 SV=1 MSNKKRIFFTGGGTGGHVFPGISIIQKLKELDNEIEFFWIGKKNSIEEKLIKEQNNIKFIWVPCGKLRRYFSFQNFTDFFKVILGIIKSFYVLKKYKPQIVYATGGFVSTPTIIASSLLKIKRITHEMDLDPGLATKINSKFANKIYTSFKESEKYFKNHKNIIYTGSPIRKEFLTPNPKIIKQLTQNTNKPIVSVLGGSLGANALNNLALFIKKYAEIYFIHQSGKNLNDLREDNYLRRQFFNAEEMASIEKFSNIIISRAGAGAIKEFANACTCVILIPFKKGSRGDQIKNAKLLKNQNACIYIDEDEILNTNILKVIKETLNDREKINSLKENIKKFNNKHSSTLIAKLLIEDIKETKSK