Q929Y2 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: 
bafybeidgm4lixgy4jpwtakxxouvyz77d732uqkpymmb4uyf435ru4s7ajq/metadata.json
IPFS of structure file: 
bafybeidmqtd4gd7qt4mtg2csekubhj6d35fypjimgovqkb2u3xjfxa4b2i/AF-Q929Y2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5e58272ea25a05e06901A2eAe9f63939b344e0c6
First NFT owner address (bech32): 
genesis1tevzwt4ztgz7q6gp5t4wna3e8xe5fcxxnzlgjh
Current NFT ID #252408 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
252408
Accession (UniProt):
Q929Y2
Name::
UDP-N-acetylglucosamine--N-acetylmuramyl-(pentapeptide) pyrophosphoryl-undecaprenol N-acetylglucosamine transferase
Experimental Method:
Predicted structure
Sequence source:
LISTERIA INNOCUA SEROVAR 6A (STRAIN ATCC BAA-680 / CLIP 11262)

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 Q929Y2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q929Y2|MURG_LISIN UDP-N-acetylglucosamine--N-acetylmuramyl-(pentapeptide) pyrophosphoryl-undecaprenol N-acetylglucosamine transferase OS=Listeria innocua serovar 6a (strain ATCC BAA-680 / CLIP 11262) OX=272626 GN=murG PE=3 SV=1 MKVAISGGGTGGHVYPALAFIRELKKVHPEAEFLYIGTEKGLEAGIVKREGIPFESIEITGFKRSLSLENIKTVMRFLSGAKKSKQILREFKPDVVIGTGGYVCGPVVYAAAKLKIPTLIHEQNSIAGLTNKFLSRYTDKVAICFEEVSDSFASEKIVFTGNPRASEVVGVDGEGALEAYGLVSGKPTVLVFGGSRGARGINEAVEAILPEWNKRDFQLLYVTGDVHFEKIKDSLGEMNLGNHISVQPFIYDMPKILNAVTLVVSRAGATTLAELTALGVPSILIPSPYVTANHQEYNARALEKNNAAVVITESELKETDLMATVDAILTDEAKLNSMKLSAKQMGRPDAALKLVETVLSIMK