D7AEL2 AF NFT | MOLNFT bioinformatics, blockchain

Probable peptidoglycan glycosyltransferase FtsW

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeihyd53uccysjnsvxkiy5clfnhahu3lofcrykcoiz6faowstt33wia/metadata.json

IPFS of structure file:

bafybeieyfz6funtkha7z452vt7cpnrparspedcczwba5ttqta26wqk2q2e/AF-D7AEL2-F1-model_v2.pdb

First NFT owner address (eip-55):

0xD8F3D068a9DC758Bf81Ccd312cF842A9701dc5a7

First NFT owner address (bech32):

genesis1mreaq69fm36ch7que5cje7zz49cpm3d8gtlxse

Current NFT ID #137699 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
137699
Accession (UniProt):
D7AEL2
Name::
Probable peptidoglycan glycosyltransferase FtsW
Experimental Method:
Predicted structure
Sequence source:
Geobacter sulfurreducens (strain DL-1 / KN400)

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 D7AEL2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|D7AEL2|FTSW_GEOSK Probable peptidoglycan glycosyltransferase FtsW OS=Geobacter sulfurreducens (strain DL-1 / KN400) OX=663917 GN=ftsW PE=3 SV=1 MNLGLNVKEIERYDLVILLMAVALTCFGVVMVYSASSVMATKKFHDGFYFLKRQGVYALLGFGVMAVAMRIDYRTWREYAVPILLGCLFLLFLVFIPGIGGAAKGASRWIRLPGFNFQPSELTKIALIVYMAYSLDKKQDKVKFFSTGFLPYMVLLSVVLLILLKQHDLGAALTMGLVAIIMLFAAGTRPRYIIAMGMMALPILYFLVMNVDYRRRRILAYLNPWEDPTDTGFQIIQSWLAFGNGGVLGQGLGEGKQKMFYLPEAHTDFILSVTGEELGLIGVTVIAAMFLMLVLRGVRVALMAQEPFGRFLAFGIATLLGIQSFVNMAVVTGLLPTKGLALPFISYGGSSLIVTLFAVGILLNISTRLKGAP