B4RQC6 AF NFT

Probable peptidoglycan glycosyltransferase FtsW

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigqn3amso24bm3qkeyseju5uk424r346fdozjvd62jqyuv5ydx5ja/metadata.json
IPFS of structure file: 
bafybeicejr5zdnfaa6w5vn63rq5eler7a6lf26tei7d53h5fsjv77clkya/AF-B4RQC6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x42DcC00cE356900729440521AcEB4a4d706318cF
First NFT owner address (bech32): 
genesis1gtwvqr8r26gqw22yq5s6e662f4cxxxx0x0ntfx
Current NFT ID #137723 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
137723
Accession (UniProt):
B4RQC6
Name::
Probable peptidoglycan glycosyltransferase FtsW
Experimental Method:
Predicted structure
Sequence source:
NEISSERIA GONORRHOEAE (STRAIN NCCP11945)

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 B4RQC6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B4RQC6|FTSW_NEIG2 Probable peptidoglycan glycosyltransferase FtsW OS=Neisseria gonorrhoeae (strain NCCP11945) OX=521006 GN=ftsW PE=3 SV=1 MGCIVCSDGIVCRLKFLPFAAGANRLAGGFLKISEVLVKVGDGVHTLLLDRPIVRDGRKFDAPLLWMVVLMTAFGLLMIYSASVYLASKEGGDQFFYLTRQAGFVVAGLIASGFLWFLCRMRTWRRLVPWIFALSGLLLVAVLIAGREINGATRWIPLGPLNFQPTELFKLAVILYLASLFTRREEVLRSMESLGWQSIWRGTANLIMSATNPQARRETLEMYGRFRAIILPIMLVAFGLVLIMVQPDFGSFVVITVITVGMLFLAGLPWKYFFVLVGSVLGGMVLMITAAPYRVQRVVAFLDPWKDPQGAGYQLTHSLMAIGRGEWFGMGLGASLSKRGFLPEAHTDFIFAIIAEEFGFFGMCVLIFCYGWLVVRAFSIGKQSRDLGLTFNAYIASGIGIWIGIQSFFNIGVNIGALPTKGLTLPLMSYGGSSVFFMLISMMLLLRIDYENRRKMRGYRVE