P0CB60 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: 
bafybeidoan3yqfn2rbraqhbcuy6w3t5o5iqtju4i7dc6epp7yes2co5mba/metadata.json
IPFS of structure file: 
bafybeieff6tzanftc3fr7sdyyhlr2gdezuwqzjw27ajvrxo3lrpr65h6wi/AF-P0CB60-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xF820Fa98497d3c645D013679d6Ea39FcbA8D8080
First NFT owner address (bech32): 
genesis1lqs04xzf057xghgpxeuad63eljagmqyqywmf7z
Current NFT ID #252670 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
252670
Accession (UniProt):
P0CB60
Name::
UDP-N-acetylglucosamine--N-acetylmuramyl-(pentapeptide) pyrophosphoryl-undecaprenol N-acetylglucosamine transferase
Experimental Method:
Predicted structure
Sequence source:
STREPTOCOCCUS PNEUMONIAE SEROTYPE 4 (STRAIN ATCC BAA-334 / TIGR4)

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 P0CB60 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0CB60|MURG_STRPN UDP-N-acetylglucosamine--N-acetylmuramyl-(pentapeptide) pyrophosphoryl-undecaprenol N-acetylglucosamine transferase OS=Streptococcus pneumoniae serotype 4 (strain ATCC BAA-334 / TIGR4) OX=170187 GN=murG PE=3 SV=1 MKKIVFTGGGTVGHVTLNLLLMPKFIEDGWEVHYIGDKCGIEHQEILKSGLDVTFHSIATGKLRRYFSWQNMLDVFKVGWGIVQSLFIMLRLRPQTLFSKGGFVSVPPVIAARVSGVPVFIHESDLSMGLANKIAYKFATKMYSTFEQASSLAKVEHVGAVTKVSDKNTPEPDELVDIQTHFNPKLPTVLFVGGSAGARVFNQLVTDHKKELTERYNIINLTGDSSLNELRQNLFRVDYVTDLYQPLMELADIVVTRGGANTIFELLAIAKLHVIVPLGREASRGDQIENAAYFVKKGYAEDLQESDLTLDSLEEKLSHLLSHKEDYQAKMKASKELKSLADFYQLLKKDLS