Q17YP7 AF NFT

Probable sugar efflux transporter

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicsnxu5fb5sbv6ldtbo6jyzyegz2rnhq657t77gtac4dmdvuoa6se/metadata.json
IPFS of structure file: 
bafybeidaagepy3wqhxa3t2fcfcrqoylopxam6erntfugtgjnbnmyfogbuy/AF-Q17YP7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf87a97E0A4bB354D834857B14296240B167cbe70
First NFT owner address (bech32): 
genesis1lpaf0c9yhv65mq6g27c5993ypvt8e0nsz8y8ua
Current NFT ID #433012 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
433012
Accession (UniProt):
Q17YP7
Name::
Probable sugar efflux transporter
Experimental Method:
Predicted structure
Sequence source:
Helicobacter acinonychis (strain Sheeba)

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 Q17YP7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q17YP7|SOTB_HELAH Probable sugar efflux transporter OS=Helicobacter acinonychis (strain Sheeba) OX=382638 GN=sotB PE=3 SV=1 MMITKQSYKKLALMRVFVFSLSAFIFNTTEFVPIALLSDIAKSFEMESASVGLMITLYAWIVSLGSLPLMLLSAKIERKRLLLFLFGLFIVSHILSVVAWDFWVLLISRMGIALAHSVFWSITASLVIRVAPIGRKQQALGLLALGSSLAMILGLPLGRIIGQMLDWRSTFGMIGGVALLVALLMYRLLPSLPSRNAGTLSSLPVLMKRPLLVGIYLLVILAISGHFTTYSYIEPFIIQISQFSPEVATLMLFVFGLAGVMGSFLFGRFYEKNPKKFIACAIILVLCPQLLLFSFKHLEWVIFLQIFLWGIGITSLGISLQMRVLQLAPNATDVASAIFSGSYNVGIGSGALFGSIVIHQLGLGYIGFVGGALGLLALFWFNFITIKFGAK