Q7MAD4 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: 
bafybeib54d7igrnfcbgp6vgotwgazysp5m4zqrswxwjbv2pnnybephyk4e/metadata.json
IPFS of structure file: 
bafybeibnirg2jm45ku7hykdi4ty6vyupuylctt6gbk75o5sf4vl7cfugeu/AF-Q7MAD4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6f01Aa60d63aDD170B5Eebb00d139334Fc933195
First NFT owner address (bech32): 
genesis1duq65cxk8tw3wz67awcq6yunxn7fxvv4usdx2n
Current NFT ID #252738 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
252738
Accession (UniProt):
Q7MAD4
Name::
UDP-N-acetylglucosamine--N-acetylmuramyl-(pentapeptide) pyrophosphoryl-undecaprenol N-acetylglucosamine transferase
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 Q7MAD4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7MAD4|MURG_WOLSU UDP-N-acetylglucosamine--N-acetylmuramyl-(pentapeptide) pyrophosphoryl-undecaprenol N-acetylglucosamine transferase OS=Wolinella succinogenes (strain ATCC 29543 / DSM 1740 / LMG 7466 / NCTC 11488 / FDC 602W) OX=273121 GN=murG PE=3 SV=1 MNILLTGGGTGGHLAIAKALMESLASKNQSLFFIGSQRGQDRSWFEHEEGFKRRFFLETQGVVNQRGIAKIRSLSSQFQAMLEARKILKNHQIKRVVSVGGYSAAPASLAALSLGIPLYIHEQNAKVGLLNRLLKPFSRAFLSSYDSNSLIRDYPVRDAFFEVARVRSRVKKILFLGGSQGAKAINDWALELAPLIHQRGIAIMHQCGEVDYERMKRGYEERSIPVELFAFDRAIHQKMQQADLAISRAGASSLWELGANGLPALFIPYPFAAGDHQYYNAKFILDQGLGWMVRQENLSTEVLLEILEEDLSQKSECLMAYVKRGAADRMADFILS