A7I265 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: 
bafybeigdtmzcyylaektczxpp7aq6k6fyknqsyy7vxxriqll5fy4yekpbbi/metadata.json
IPFS of structure file: 
bafybeib37rgok64y4hpr4sncxtt2iimqjs6wefq2t5loypvyf6gmwpzy7i/AF-A7I265-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x16DAa6a077550712A5E3955F590a002aC60F6B0D
First NFT owner address (bech32): 
genesis1zmd2dgrh25r39f0rj404jzsq9trq76cdjd3jal
Current NFT ID #252204 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
252204
Accession (UniProt):
A7I265
Name::
UDP-N-acetylglucosamine--N-acetylmuramyl-(pentapeptide) pyrophosphoryl-undecaprenol N-acetylglucosamine transferase
Experimental Method:
Predicted structure
Sequence source:
Campylobacter hominis (strain ATCC BAA-381 / LMG 19568 / NCTC 13146 / CH001A)

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 A7I265 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A7I265|MURG_CAMHC UDP-N-acetylglucosamine--N-acetylmuramyl-(pentapeptide) pyrophosphoryl-undecaprenol N-acetylglucosamine transferase OS=Campylobacter hominis (strain ATCC BAA-381 / LMG 19568 / NCTC 13146 / CH001A) OX=360107 GN=murG PE=3 SV=1 MTIAITGGGTGGHLTIAKILAYELKKRGLKTIFIGSTNGQDMLWFENSVLFDEKYFLKSSGVVNKKGISRILSLFKILALSFGCRKIFAKHDVKAVISVGGYSSAPAAFWAVANKIPLFIHEQNAEIGKINALLKRFAKRFYSSYFEPKFDYPIDEIFLKTARIRREVKTVMFLGGSQGANFINELAVKLAPHLAEFGYKIIHQCGEANEAKMREIYKKESINVELIGFSKMLHKFVESADLCISRSGASTLWELAANAVPAVFIPFPYAAGDHQYYNAKFLEQFCKIVRQSDADEERIFSIIQNFDVKAASIGLKKLIKPDGAKKIVDDIIENLKNEDKK