Q6PFS5 AF NFT

ER lumen protein-retaining receptor 3

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif5gnprlvmssucrkkmb7ymta47g4z57h4x35zdldvzeqwlvyobh6y/metadata.json
IPFS of structure file: 
bafybeiduqqrz5vbtrwi4ai5q6glusj2q24b6ns6f737xf3nm3mqyq3tqzu/AF-Q6PFS5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5881B09f2D8e743400698633641fc1cD2Ed2BE6F
First NFT owner address (bech32): 
genesis1tzqmp8ed3e6rgqrfscekg87pe5hd90n0e7l5st
Current NFT ID #119538 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
119538
Accession (UniProt):
Q6PFS5
Name::
ER lumen protein-retaining receptor 3
Experimental Method:
Predicted structure
Sequence source:
DANIO RERIO

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 Q6PFS5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6PFS5|ERD23_DANRE ER lumen protein-retaining receptor 3 OS=Danio rerio OX=7955 GN=kdelr3 PE=2 SV=1 MNIFRLSGDVCHLIAIIILFLKIWRSKSCAGISGKSQVLFALVFTTRYLDLFTSYISAYNTVMKVVYLLLAYSTVGLIFFRFRNSYDSESDSFRVEFLLVPVAGLSFLENYAFTPLEILWTFSIYLESVAILPQLFMITKTGEAESITAHYLLFLGLYRALYLANWLWRFHTEGFYDQIAVVSGVVQTIFYCDFFYLYFTRVLRGSGKMSLPMPV