Q6F703 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: 
bafybeiafjz4uwr4hcfwy4oeajppefipkxao7cunsfqk3cnb2j5jswp7fvi/metadata.json
IPFS of structure file: 
bafybeigby3qnrt4e2ps5xs4m26ugt2ydi6tu7qzif5ly4vkjf572k2o2xi/AF-Q6F703-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xD0B8f00ed836787a27f2236104D09DdB625B883a
First NFT owner address (bech32): 
genesis16zu0qrkcxeu85fljydssf5yamd39hzp6syhx2d
Current NFT ID #252091 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
252091
Accession (UniProt):
Q6F703
Name::
UDP-N-acetylglucosamine--N-acetylmuramyl-(pentapeptide) pyrophosphoryl-undecaprenol N-acetylglucosamine transferase
Experimental Method:
Predicted structure
Sequence source:
ACINETOBACTER BAYLYI (STRAIN ATCC 33305 / BD413 / ADP1)

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 Q6F703 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6F703|MURG_ACIAD UDP-N-acetylglucosamine--N-acetylmuramyl-(pentapeptide) pyrophosphoryl-undecaprenol N-acetylglucosamine transferase OS=Acinetobacter baylyi (strain ATCC 33305 / BD413 / ADP1) OX=62977 GN=murG PE=3 SV=1 MTDPSQVKPKHVMMMAAGTGGHVFPALAVAKQLQQHGCQVSWLATPAGMENRLLKDQNIPIYQIDIQGVRGNGAVRKLLAPFKILKATYSAMRYMKQLKVDAVAGFGGYVAGPGGLAARILGIPILIHEQNAVAGFTNTQLARVASKVCEAFPNTFPASAKRVTTGNPVRKEITAILSPKWRYDSREQAGQPLNILIVGGSLGAQALNERLPDALKNLNLPLNVFHQCGQKQFEETRVRYTNAPANMSVQVMPFIEDMAQAYRDADLIICRAGALTVTEVATAGVAAVFVPLPIAVDDHQTANARFLADVGAAKICQQSTMTPENLDALLKPLMNRQLLSEMAVKARQHAQPNATQHVVDLIQTL