Q3KQ77 AF NFT

Calaxin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihtxrtobvmyrhkjnqndhhg7dwtlzxdqw62n2ditcjvnnod77ixnba/metadata.json
IPFS of structure file: 
bafybeibuvdtapshyoxbx6lvazdrcxdn2mhnrti2hs7v3igj6ptfcajrsz4/AF-Q3KQ77-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xC715bFD5569995EDAc3073A1f5b1a98e8af55EF4
First NFT owner address (bech32): 
genesis1cu2ml42knx27mtpswwsltvdf36902hh5y0fqxc
Current NFT ID #67426 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
67426
Accession (UniProt):
Q3KQ77
Name::
Calaxin
Experimental Method:
Predicted structure
Sequence source:
XENOPUS LAEVIS

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 Q3KQ77 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q3KQ77|CLXN_XENLA Calaxin OS=Xenopus laevis OX=8355 GN=clxn PE=2 SV=1 MNRKNLQKQAEALSRLIKHFSKSEVESLIRLYHTLVGRPGDPNTRRGIDRNTFRNILHNTFGMTDDMIMDRVFRGFDKDNDSFISVTEWVEGLSVFLHGTLEEKIKYCFGVYDLNGDGYISREEMFHMLKNSLLKQPSEEDPDEGVKDLVEIALKKMDYDHDSKLSYTDFEKAVQEENLLLEAFGTCLPDSKCIMAFERQAFTEMNDI