Q04LK0 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: 
bafybeiegccknknpf2yojzsob2o3pjr3v3kymqcxtresvfttyw2vzev67ly/metadata.json
IPFS of structure file: 
bafybeibpd3dacipldzh4vl5wnabubf3qrlm5n5ex6xqmwct5ge53rurnza/AF-Q04LK0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x88DB42AFD1c918761d553B3c6CEc7ba83c6f79bC
First NFT owner address (bech32): 
genesis13rd59t73eyv8v8248v7xemrm4q7x77du3l8xmx
Current NFT ID #252656 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
252656
Accession (UniProt):
Q04LK0
Name::
UDP-N-acetylglucosamine--N-acetylmuramyl-(pentapeptide) pyrophosphoryl-undecaprenol N-acetylglucosamine transferase
Experimental Method:
Predicted structure
Sequence source:
STREPTOCOCCUS PNEUMONIAE SEROTYPE 2 (STRAIN D39 / NCTC 7466)

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 Q04LK0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q04LK0|MURG_STRP2 UDP-N-acetylglucosamine--N-acetylmuramyl-(pentapeptide) pyrophosphoryl-undecaprenol N-acetylglucosamine transferase OS=Streptococcus pneumoniae serotype 2 (strain D39 / NCTC 7466) OX=373153 GN=murG PE=3 SV=1 MKKIVFTGGGTVGHVTLNLLLMPKFIEDGWEVHYIGDKRGIEHQEILKSGLDVTFHSIATGKLRRYFSWQNMLDVFKVGWGIVQSLFIMLRLRPQTLFSKGGFVSVPPVIAARVSGVPVFIHESDLSMGLANKIAYKFATKMYSTFEQASSLSKVEHVGAVTKVSDQKNPEPDELVDIQTHFNHKLPTVLFVGGSAGARVFNQLVTDHKKELTERYNIINLTGDSSLNELSQNLFRVDYVTDLYQPLMELADIVVTRGGANTIFELLAIAKLHVIVPLGREASRGDQIENAAYFVKKGYAEDLQESDLTLDSLEEKLSHLLSHKEDYQAKMKASKELKSLADFYQLLKKDLS