B6IRG2 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: 
bafybeifciltewuqzjwfx2wrd44357qdtc57cg3py7bw33fsun32h6yawxa/metadata.json
IPFS of structure file: 
bafybeieoqidld5xja2lmauty3wauq6grvrbu2pb42dr6gfneu3baxsvm2y/AF-B6IRG2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9073C46348542FfE4327c3F363F9B51B22058e75
First NFT owner address (bech32): 
genesis1jpeugc6g2shluse8c0ek87d4rv3qtrn44vl0u5
Current NFT ID #252543 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
252543
Accession (UniProt):
B6IRG2
Name::
UDP-N-acetylglucosamine--N-acetylmuramyl-(pentapeptide) pyrophosphoryl-undecaprenol N-acetylglucosamine transferase
Experimental Method:
Predicted structure
Sequence source:
Rhodospirillum centenum (strain ATCC 51521 / SW)

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 B6IRG2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B6IRG2|MURG_RHOCS UDP-N-acetylglucosamine--N-acetylmuramyl-(pentapeptide) pyrophosphoryl-undecaprenol N-acetylglucosamine transferase OS=Rhodospirillum centenum (strain ATCC 51521 / SW) OX=414684 GN=murG PE=3 SV=1 MSMAPIVLAAGGTGGHLFPAEALARELLERGHRVVLVTDVRGTAFGDALREVPVHRIRSATLGGGLLGKARTALELGIGTLQARRLLSRLEPAIVVGFGGYPSFPAVYAAAGLRIPVAIHEQNAVMGRANRMLARRARLICTSFPEVQGMDNVDRARAVRTGNPVRPAVLALRDRPYEAPLPGGSLDILVTGGSQGATVFGEIVPRAVAMLPEDLRLRLGIVQQARAENLQAARDGYAALGVQATLAPFFRDLPERLARCHLMIGRAGASTVAELTVAGRPSILVPYPHATDDHQTANARAVAAAGGAWIMPQPEFTAEALAARLTALLTDPAPLAPAAAAAAAWGLPDAARRLADAVLGAAGLGNGRSTPDSQMRAAE