Q9CQV4 AF NFT

Reticulophagy regulator 3

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieug5qyr5lsmhzh66hmxlks2jxd2smnzadq7dsibh22mxuzjrrtmq/metadata.json
IPFS of structure file: 
bafybeigy7vqn2wylrcd2ivj3j3rdcwgdsdz4cmk5jlkxiznxqqu2zj7rfm/AF-Q9CQV4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8873c1b38A148297C06f7797E3A5aBaef6A3Feba
First NFT owner address (bech32): 
genesis13peurvu2zjpf0sr0w7t78fdt4mm28l46mhz3ps
Current NFT ID #339459 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
339459
Accession (UniProt):
Q9CQV4
Name::
Reticulophagy regulator 3
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

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 Q9CQV4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9CQV4|RETR3_MOUSE Reticulophagy regulator 3 OS=Mus musculus OX=10090 GN=Retreg3 PE=1 SV=1 MEEAEGVAAAPGPASGLAFRGRRAMSGSWERDQQVEAAQRTLVEVLGPYEPLLSRVQAALVWERPARSALWCLGLNAAFWFFALTSLRFVFLLAFSLMIIVCIDQWKNKIWPEINVPRPDALDNESWGFVHPRLLSVPELCHHVAEVWVSGTIFIRNLLLFKKQNPGKFCLLSCGVLTFLAMLGRYIPGLLLSYLMLVIIMMWPLAVYHRLWDRAYVRLKPVLQRLDFSVRGYMMSKQRERQLRRRALHSERATDSHSDSEEELAAFCPQLDDSTVARELAITDSEHSDAEVSCTENGTFNLSRGQTPLTEGSEDLDGHSDPEESFARDLPDFPSINVDPAGLDDEDDTSIGMPSLMYRSPPGAGDTQVLPASRNEAALPELLLSSLPGGSNLTSNLASLVSQGMIQLALSEASQTDPSGPPPRRATRGFLRAPSSDLDTDAEGDDFELLDQSELNQLDPASSRSH