Q6ZWS4 AF NFT

Protein cornichon homolog 3

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidux6vbcuechxmfoiroipdmnhgf6pgkc4yx4f7iv4m3snnibg4e4i/metadata.json
IPFS of structure file: 
bafybeif6igtqtbvmxmqhgy7w2fyhzdbfx5uomo4nlnethz2lv3uj67vuzm/AF-Q6ZWS4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x79a905d858Ce72991FD6E7a9C6498620f42E146D
First NFT owner address (bech32): 
genesis10x5stkzceeefj87ku75uvjvxyr6zu9rds9d8xj
Current NFT ID #68481 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
68481
Accession (UniProt):
Q6ZWS4
Name::
Protein cornichon homolog 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 Q6ZWS4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6ZWS4|CNIH3_MOUSE Protein cornichon homolog 3 OS=Mus musculus OX=10090 GN=Cnih3 PE=1 SV=1 MAFTFAAFCYMLSLVLCAALIFFAIWHIIAFDELRTDFKSPIDQCNPVHARERLRNIERICFLLRKLVLPEYSIHSLFCIMFLCAQEWLTLGLNVPLLFYHFWRYFHCPADSSELAYDPPVVMNADTLSYCQKEAWCKLAFYLLSFFYYLYCMIYTLVSS