Q6IQT4 AF NFT

COP9 signalosome complex subunit 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifssq4nfkvciiibeaqqqa27onpqtckgdkyv44x5gpydcdptoj2shm/metadata.json
IPFS of structure file: 
bafybeib2vxottq3sfebuo3s4mz4usdsy2rtwbmkxeqo3pkuiaxaeh2yznq/AF-Q6IQT4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd3D09c70A651Fc18Cc83B08E783c20f3249a5Be2
First NFT owner address (bech32): 
genesis160gfcu9x287p3nyrkz88s0pq7vjf5klz9ap3ln
Current NFT ID #78616 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
78616
Accession (UniProt):
Q6IQT4
Name::
COP9 signalosome complex subunit 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 Q6IQT4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6IQT4|CSN2_DANRE COP9 signalosome complex subunit 2 OS=Danio rerio OX=7955 GN=cops2 PE=2 SV=1 MSDMEDDFMCDDEEDYDLEYSEDSNSEPNVDLENQYYNSKALKEDDPKAALSSFQKVLELEGEKGEWGFKALKQMIKINFKLTNFPEMMNRYKQLLTYIRSAVTRNYSEKSINSILDYISTSKQMDLLQEFYETTLEALKDAKNDRLWFKTNTKLGKLYLEREEFGKLQKILRQLHQSCQTDDGEDDLKKGTQLLEIYALEIQMYTAQKNNKKLKALYEQSLHIKSAIPHPLIMGVIRECGGKMHLREGEFEKAHTDFFEAFKNYDESGSPRRTTCLKYLVLANMLMKSGINPFDSQEAKPYKNDPEILAMTNLVSAYQNNDITEFEKILKTNHSNIMDDPFIREHIEELLRNIRTQVLIKLIKPYTRIHIPFISKELNIDVADVESLLVQCILDNTINGRIDQVNQLLELDHQKRGGARYTALDKWTNQLNSLNQAIVSKLA