Q2SZI4 AF NFT

Probable peptidoglycan glycosyltransferase FtsW

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaumqurypou2bh3wn2mtuiqewvuh5tkfnqqady6c7q7xgqofv523e/metadata.json
IPFS of structure file: 
bafybeic2f4tifx6lcqbrsmrhwhxevhg2h6ijisw6ucer3doredyuoeyaoa/AF-Q2SZI4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x46EfCa788d03A3e879DAcDb96552AB8Bbc7e20b3
First NFT owner address (bech32): 
genesis1gmhu57ydqw37s7w6ekuk254t3w78ug9ndfc7sx
Current NFT ID #137686 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
137686
Accession (UniProt):
Q2SZI4
Name::
Probable peptidoglycan glycosyltransferase FtsW
Experimental Method:
Predicted structure
Sequence source:
BURKHOLDERIA THAILANDENSIS (STRAIN ATCC 700388 / DSM 13276 / CIP 106301 / E264)

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 Q2SZI4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2SZI4|FTSW_BURTA Probable peptidoglycan glycosyltransferase FtsW OS=Burkholderia thailandensis (strain ATCC 700388 / DSM 13276 / CIP 106301 / E264) OX=271848 GN=ftsW PE=3 SV=1 MREPRHVPQLRASGRRFPQRGRRHRFGKRNDAMSWSDRLVSRFNGARDAGGGAAPRTAARAASGARAAAGGLASVVNGARPTRSRMLDFDYSLLWVSIALLGLGVVMVYSASIAMPDSPKYASYHDYAFLLRHCVSLVVAFVAAVIAFRVPVSTWDKYAPHLFLIALVGLVIVLIPHIGKGVNGARRWIPLGITNMQPSEIMKLAVTIYAANYTVRKQEYMQSFAKGFLPMAFAVGLVGALLLLEPDMGAFMVVAAIAMGVLFLGGVNGKLFGGLVATAVGTFTMLVWLSPWRRERIFAYLDPWDERYAQGKAYQLTHSLIAFGRGEWFGVGLGGSVEKLNYLPEAHTDFILAVIGEELGFVGVLVVILLFYWIVRRSFEIGRQALALDRTFAGLMAKGVGIWFGAQAFINMGVNLGLLPTKGLTLPLVSYGGSGILLNCISLAVLLRVDYENRVLMRGGKV