Q9ZJQ3 AF NFT

Uncharacterized membrane protein jhp_1251

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigzskasu7mfq4jh35atgw6nfavicewdn5xbjlvpndpho67lgt3t5m/metadata.json
IPFS of structure file: 
bafybeih7kltw4rp3cdldpmnrsirpwxrnjkck2bedfzk6wi3qe6t6365vi4/AF-Q9ZJQ3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7B796178fC6Ce532fb47128c798044ffa999dCA5
First NFT owner address (bech32): 
genesis10dukz78udnjn9768z2x8nqzyl75enh9906a6x2
Current NFT ID #528193 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
528193
Accession (UniProt):
Q9ZJQ3
Name::
Uncharacterized membrane protein jhp_1251
Experimental Method:
Predicted structure
Sequence source:
HELICOBACTER PYLORI (STRAIN J99 / ATCC 700824)

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 Q9ZJQ3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9ZJQ3|YD31_HELPJ Uncharacterized membrane protein jhp_1251 OS=Helicobacter pylori (strain J99 / ATCC 700824) OX=85963 GN=jhp_1251 PE=3 SV=1 MHDFLKAFKDAFPHTISIFLGYLLMGMTFGMLLAQQGYDYKVALFMSLFIYAGAIQFVAITLLSAQASLMNVVIVSLLVNARQTCYALSMLDRFKNTKWRLPYLAHALTDETFALLNLYAPKKGVNETDFMFSISLLNHSYWIFGSLVGSLVGSHFSFDTQGMEFVMTAIFIVLFMEQYKRNTNHKNAWLGIAIAVVCLALFGTEYFLLIALVLMVLALILFRKQLEC