Q9ZF37 AF NFT

Putative sugar uptake protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieyt6ogmderh62jdrfhjxhufzrjwfyoclrzluff6krh5to2hxfkpm/metadata.json
IPFS of structure file: 
bafybeifagn2brs66zboseg7wn6e7no2dteknntjnte6aj6pj6dusmgdgdi/AF-Q9ZF37-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x81F3F163c1FaF6e4c4c9c3437AD70f2b580f2212
First NFT owner address (bech32): 
genesis1s8elzc7pltmwf3xfcdph44c09dvq7gsjljwrx6
Current NFT ID #538321 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
538321
Accession (UniProt):
Q9ZF37
Name::
Putative sugar uptake protein
Experimental Method:
Predicted structure
Sequence source:
LACTOBACILLUS HELVETICUS

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 Q9ZF37 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9ZF37|YSUP_LACHE Putative sugar uptake protein OS=Lactobacillus helveticus OX=1587 PE=3 SV=1 MNILIALIPALGWGIFSLIAGKIKNSHPANELMGLGTGALIIGIITAIIHPASSNITIFSLSLISGMFCALGQSGQFISMRNIGISKTMPLSTGFQLIGNTLIGAIIFGEWTSSSQYLIGTLALILIIVGVSLTAISKDKSAKLKMRDIILLLFTSIGYWIYSSFPKAITANAQTLFLPQMIGIFIGSIIFLLVSRQTKVLKEKATWLNIFSGFSYGIAAFSYIFSAQLNGVITAFIYSQLCVIISTLGGIFFIGENKTKSELIATFVGLILIIIGAAIQ