Q926Y3 AF NFT

Beta-glucoside kinase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidfq22z52lcrq25wh5zzspbd75cbyi7tytlbkjgpcxpombfism76u/metadata.json
IPFS of structure file: 
bafybeid5uuggdsal6yljawldl4frmckdi2vn4s6ax3lzz3iiglzzpzxobq/AF-Q926Y3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa73BAb1DabE4333A884D03393eAa10c3B4215494
First NFT owner address (bech32): 
genesis15ua6k8dtusen4zzdqvuna2sscw6zz4y5hahjw0
Current NFT ID #42844 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
42844
Accession (UniProt):
Q926Y3
Name::
Beta-glucoside kinase
Experimental Method:
Predicted structure
Sequence source:
LISTERIA INNOCUA SEROVAR 6A (STRAIN ATCC BAA-680 / CLIP 11262)

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 Q926Y3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q926Y3|BGLK_LISIN Beta-glucoside kinase OS=Listeria innocua serovar 6a (strain ATCC BAA-680 / CLIP 11262) OX=272626 GN=bglK PE=1 SV=1 MKIAAFDIGGTALKMGVVLPHGEIILTKSAEIIASDGDQILAEMKLFLAENTDVTGIAVSAPGYVNPKTGLITMGGAIRRFDNFNLKEWLEAETGLPVAIENDANCALLAEKWLGKGQDLDDFLCLTIGTGIGGGIFSNGALVRGGRFRAGEFGYMFSERPGAFRPGKYTLNETTTMLVLRRQYAQLTGRPLKEITGEEIFANYDAHDPISERLINEFYTGICTGLYNLIYLFDPTHIFIGGGITSRPTFITELKHHMASFGLRDTIIETATHKNQAGLLGAVYHFLQEENRHE