Q8UDM8 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: 
bafybeiffgfkd4byvkgocn3k2zxmz2qjmdwdrwnhzwntzheaxmon456ujy4/metadata.json
IPFS of structure file: 
bafybeifmp2mxq2fo3rt7m5mdulytgvjf2jqs7t7hvluuzk2l2dpktdje2q/AF-Q8UDM8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x52EbBD875a6a4B00A05Ec87E621cc08424E357a6
First NFT owner address (bech32): 
genesis12t4mmp66df9spgz7eplxy8xqssjwx4axv6ef26
Current NFT ID #252109 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
252109
Accession (UniProt):
Q8UDM8
Name::
UDP-N-acetylglucosamine--N-acetylmuramyl-(pentapeptide) pyrophosphoryl-undecaprenol N-acetylglucosamine transferase
Experimental Method:
Predicted structure
Sequence source:
AGROBACTERIUM FABRUM (STRAIN C58 / ATCC 33970)

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 Q8UDM8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8UDM8|MURG_AGRFC UDP-N-acetylglucosamine--N-acetylmuramyl-(pentapeptide) pyrophosphoryl-undecaprenol N-acetylglucosamine transferase OS=Agrobacterium fabrum (strain C58 / ATCC 33970) OX=176299 GN=murG PE=3 SV=1 MNKGIVLLAAGGTGGHVFPAEALAHTLKARGYQVHLVTDSRAERYAGKFPADEIHVVPSATIGSKNPISVVRSLWKLWVGLRTARRLVTKLKPVAVVGFGGYPTVPPLLASTGLGVPSIIHEQNAVMGRANKALAARVKAIAGGFLPPANGQYSEKTVATGNPVRPAVLAASEIPYTPSQTGETFQLVVFGGSQGAQFFSSAVPAAICLMKDEQRKRIVVTQQARPEDKDSVIASYQKLGVKADVSPFFGDMASRIGEADLVISRSGASTVSELSVIGRPSILVPYPHALDHDQAANAAALSAAGGASVIKQAELSPQKLSSLLSSALAEPDRLSATAAAAKATGKPHAADVLADLVEAIAEGRSVQEFKKKNEGVGA