Q9ZTN2 AF NFT

ER lumen protein-retaining receptor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicvjzfde4r4h7gtzoda7h2l3sb6ckocdxghxh4cmxu5fyxnoxexda/metadata.json
IPFS of structure file: 
bafybeib7hplrxztwcoh2jxicnfazvy4fpev6cx7qgqzq2dccdgbdxhaut4/AF-Q9ZTN2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xDfA35f0a55525d00318dd861772da3C33F137075
First NFT owner address (bech32): 
genesis1m7347zj42fwsqvvdmpshwtdrcvl3xur4uayuqp
Current NFT ID #119550 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
119550
Accession (UniProt):
Q9ZTN2
Name::
ER lumen protein-retaining receptor
Experimental Method:
Predicted structure
Sequence source:
PETUNIA HYBRIDA

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 Q9ZTN2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9ZTN2|ERD2_PETHY ER lumen protein-retaining receptor OS=Petunia hybrida OX=4102 GN=ERD2 PE=2 SV=1 MNIFRLAGDMTHLASVLVLLLKIHTIKSCAGVSLKTQELYALVFVTRYLDIFTDFISLYNTTMKLVFLGSSLSIVWYMRHHKIVRRSYDKDQDTFRHLFLVLPCLLLALVINEKFTFKEVMWTFSIYLEAVAILPQLVLLQRTRNIDNLTGQYIFLLGAYRSFYILNWVYRYFTEPHFVHWITWIAGLIQTLLYADFFYYYFQSWKNNTKLELPA