A4IX64 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: 
bafybeigxg75nyrnf3tdq4jvh3yro4mlqfppcve4ei3wa5t3mftdl423k4i/metadata.json
IPFS of structure file: 
bafybeifead2ngquq7npqrnxt3cxvcgrtint3z6mg6d4akwprhcv6rfxj6e/AF-A4IX64-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x848B622B139c7fB5ce26ccA19998c6cB362c7C6b
First NFT owner address (bech32): 
genesis1sj9ky2cnn3lmtn3xejsenxxxevmzclrtx69hhk
Current NFT ID #252334 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
252334
Accession (UniProt):
A4IX64
Name::
UDP-N-acetylglucosamine--N-acetylmuramyl-(pentapeptide) pyrophosphoryl-undecaprenol N-acetylglucosamine transferase
Experimental Method:
Predicted structure
Sequence source:
Francisella tularensis subsp. tularensis (strain WY96-3418)

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 A4IX64 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A4IX64|MURG_FRATW UDP-N-acetylglucosamine--N-acetylmuramyl-(pentapeptide) pyrophosphoryl-undecaprenol N-acetylglucosamine transferase OS=Francisella tularensis subsp. tularensis (strain WY96-3418) OX=418136 GN=murG PE=3 SV=1 MSLENKNIIITAGGTGGHIYPALAIAELLRQNKANVTWVGTPNSMEASIVPEYFNIQFIKSSGVRRKGIIKKITFPLKLAYNTLKSRSLLKKLKADLVIGFGGYVSGPICLAAAQINIPVIIHEQNAKIGLTNRILAKFATTICLAFEIENLHKQFSSKQLAKTKIVGNPVRKDIVALNDKARIYTDSSTLKILVLGGSQGAKAINEIIPKLIQKSNEQGINIKVWHQTGKLSLEETKDAYKDISQNHIKDIAAFIDDMAIAYNWADLVICRAGALTVSECAIAGLPAIFIPLPSAVDDHQFFNAQNIVNNNAGFCLRQQQMTLENLLAIIKPLNQDRSKLEQMSKMAKKTLIKNSSEQILDCVKKILNNK