Q9D115 AF NFT

Zinc finger protein 706

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiamq5dawqnsivy6waxdv4hiynybofpyn6edaxfqpi5ijmlcbd2co4/metadata.json
IPFS of structure file: 
bafybeibj4xfqlxdp5m627guipuxgzukq7zfwtlcpnrnbolechosyxgsdju/AF-Q9D115-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd92eb9B6Bd45d2c5FBB3651b469A6CA52af64a1D
First NFT owner address (bech32): 
genesis1myhtnd4aghfvt7anv5d5dxnv5540vjsap4k3nj
Current NFT ID #541460 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
541460
Accession (UniProt):
Q9D115
Name::
Zinc finger protein 706
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 Q9D115 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9D115|ZN706_MOUSE Zinc finger protein 706 OS=Mus musculus OX=10090 GN=Znf706 PE=1 SV=1 MARGQQKIQSQQKNAKKQAGQKKKQGHDQKAAAKAALIYTCTVCRTQMPDPKTFKQHFESKHPKTPLPPELADVQA