E9QJ73 AF NFT

C-X-C chemokine receptor type 3-2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiepwggjwcaek2wl7bkffurwn5yscrkue2f4dmf4zxr7kao6kgiswq/metadata.json
IPFS of structure file: 
bafybeigtwmzimaupfifwgbeddyltzrcmhtjwdgiwiot2rzpw5gyzhu2gze/AF-E9QJ73-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0A91570a0CF639a9FD80d9C8cB75c7698aaAD8f1
First NFT owner address (bech32): 
genesis1p2g4wzsv7cu6nlvqm8yvkaw8dx924k83az7tkr
Current NFT ID #81924 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
81924
Accession (UniProt):
E9QJ73
Name::
C-X-C chemokine receptor type 3-2
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 E9QJ73 research and analysis (ICN3D with VR)

FASTA sequences

>sp|E9QJ73|CXR32_DANRE C-X-C chemokine receptor type 3-2 OS=Danio rerio OX=7955 GN=cxcr3.2 PE=2 SV=2 MDNSTTAAEVSAPTDYDYNSTSYDDDNPYAAPCSLTETWNFLGRFAPVAYILVFILALVGNILVLCVIRRYRQSRHSPCSFSLTDTFLLHLAVSDLLLAATLPFFAVEWISEWVFGKVMCKITGALFSLNVYCGVLFLACISFDRYLAIVHAINISWRRKTCHAQLACAFIWVICLGLSMVDMHFRDLVEIPGMNRMVCQIVYSEQYSKQWQIGMQLVSMVLGFILPLLVMLYCYLHIFKALCHATRRQKRRSLRLIISLVIVFVISWAPYNALRMTDSLQMLGVIVKSCALNNVLDVGILVTESLGLAHCALNPLLYGLVGVKFRRELAQMCKAALGPQGCLGLVGWANGRGSSTRRPTGSFSSVETENTSYFSVMA