Q2A2I7 AF NFT | MOLNFT bioinformatics, blockchain

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

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeidm4tkvkoixg4tnu3yasuy5e3o54xdltzqmi4p2zop7gagn4r22t4/metadata.json

IPFS of structure file:

bafybeifwerjsftngdhj53uvssinyfzrw4ngrrw4sqfgrvbsds5f77ty2mi/AF-Q2A2I7-F1-model_v2.pdb

First NFT owner address (eip-55):

0x6Bba4Dfcacaa163872Cb467D38Fc0e76d3D00cF3

First NFT owner address (bech32):

genesis1dwayml9v4gtrsuktge7n3lqwwmfaqr8nzrczyl

Current NFT ID #252329 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
252329
Accession (UniProt):
Q2A2I7
Name::
UDP-N-acetylglucosamine--N-acetylmuramyl-(pentapeptide) pyrophosphoryl-undecaprenol N-acetylglucosamine transferase
Experimental Method:
Predicted structure
Sequence source:
Francisella tularensis subsp. holarctica (strain LVS)

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 Q2A2I7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2A2I7|MURG_FRATH UDP-N-acetylglucosamine--N-acetylmuramyl-(pentapeptide) pyrophosphoryl-undecaprenol N-acetylglucosamine transferase OS=Francisella tularensis subsp. holarctica (strain LVS) OX=376619 GN=murG PE=3 SV=1 MSLENKNIIITAGGTGGHIYPALAIAELLRQNKANVTWVGTPNSMEASIVPEYFNIQFIKSSGVRRKGIIKKITFPLKLAYNTLKSRSLLKKLKANLVIGFGGYVSGPICLAAAQINIPVIIHEQNAKIGLTNRILAKFATTICLAFEIENLHKQFSSKQLAKTKIVGNPVRKDIVALNDKARIYTDSSTLKILVLGGSQGAKAINEIIPKLIQKSNEQGINIKVWHQTGKLSLEETKDAYKDISQNHIKDIAAFIDDMAIAYNWADLVICRAGALTVSECAIAGLPAIFIPLPSAVDDHQFFNAQNIVNNNAGFCLRQQQMTLENLLAIIKPLNQDRSKLEQMSKMAKKTLIKNSSEQILDCVKKILNNK