Q9CX13 AF NFT

Protein cornichon homolog 4

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigz3tvc35ylcxylnj4epcsqcgvdcpr6do3h6oxywmtnbid2gu2qee/metadata.json
IPFS of structure file: 
bafybeia5ti7l3d6gu33ufwv5ypvopk3gbuyccf7v24hj6suempvefwalaq/AF-Q9CX13-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbff27Dc0a932A6E0d9Fe883AAbD1BF27bB95A69F
First NFT owner address (bech32): 
genesis1hle8ms9fx2nwpk073qa2h5dly7aetf5lctcm7h
Current NFT ID #68486 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
68486
Accession (UniProt):
Q9CX13
Name::
Protein cornichon homolog 4
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 Q9CX13 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9CX13|CNIH4_MOUSE Protein cornichon homolog 4 OS=Mus musculus OX=10090 GN=Cnih4 PE=2 SV=1 MEAVVFLFSLLDCCALIFLSVYFIITLSDLECDYINARSCCSKLNKWVIPELVGHTIVTVLMLVSLHWFIFLLNLPVATWNIYRFIMVPSGNMGVFDPTEIHNRGQLKSHMKEAMIKLGFYLLCFFMYLYSMILALIND