Q66I68 AF NFT

Cornifelin homolog

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie62nhdwt4z27zwdv3bqmpelk3lp7u574jz5eiys7vvamfwq3ppzi/metadata.json
IPFS of structure file: 
bafybeiakxpvxfkk576bzufqp647qxndmcpyuxfpbawbvrcrc6ykowi5q54/AF-Q66I68-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9B130d619fCFc21d0D08E5Ce38Cf42A5fbe230CB
First NFT owner address (bech32): 
genesis1nvfs6cvlelpp6rgguh8r3n6z5ha7yvxthx8q26
Current NFT ID #68409 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
68409
Accession (UniProt):
Q66I68
Name::
Cornifelin homolog
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 Q66I68 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q66I68|CNFN_DANRE Cornifelin homolog OS=Danio rerio OX=7955 GN=cnfn PE=3 SV=1 MPYQAESMTSQPQMTVTSYTVSHWSSDVCDCCDDCGIRLCGAFIPCILGCKVAQDNGDSCCLPFLPGAMVALRTSIRDRYHINGSVCDDWVIMTCCSFCGLCQLAREQKARG