Q8DVE2 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: 
bafybeifjv5uoydzcheybfqndxoqsl34hku5v27vgdx5ebdu5ulqcq2vl4e/metadata.json
IPFS of structure file: 
bafybeihmuzbimtu6ybeamdw6dcquklyz4uxcragklf7cb3xrv4cq35no4a/AF-Q8DVE2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9C80B506aC88CC4745F2CFbA143f406EBbF0Cf05
First NFT owner address (bech32): 
genesis1njqt2p4v3rxyw30je7apg06qd6alpnc9fqy0vg
Current NFT ID #252654 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
252654
Accession (UniProt):
Q8DVE2
Name::
UDP-N-acetylglucosamine--N-acetylmuramyl-(pentapeptide) pyrophosphoryl-undecaprenol N-acetylglucosamine transferase
Experimental Method:
Predicted structure
Sequence source:
STREPTOCOCCUS MUTANS SEROTYPE C (STRAIN ATCC 700610 / UA159)

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 Q8DVE2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8DVE2|MURG_STRMU UDP-N-acetylglucosamine--N-acetylmuramyl-(pentapeptide) pyrophosphoryl-undecaprenol N-acetylglucosamine transferase OS=Streptococcus mutans serotype c (strain ATCC 700610 / UA159) OX=210007 GN=murG PE=3 SV=1 MAKKKIIFTGGGTVGHVTLNLLLIPRFLKDGWEVHYIGDKHGIEHEQIEQSDFDVIFHSIATGKLRRYFSLKNVLDVFKVGWGVLQSLTIMVKVRPQVLFSKGGFVSVPPVVAANLLRIPVFVHESDLSMGLANRIAYKFATTMYTTFEQSDNLTKTKHVGAITKVNQTISSSDDNTEIKTIKEYFDPRLKTLLFIGGSAGAKVFNQFISDTPELTKHYNVINISGDKTLNNLSQNLYRVDYVTEMYQPLMDLADVVITRGGSNTIFELLAMAKLHIIVPLGKEASRGDQLENAAYFEEKGYAQQLSEENLNFAELDKVIKDLLENQTVYQDKMTSSSEIKTPNDFYNLLLTDITSKSKGK