Q95KF9 AF NFT

Zinc finger CCHC domain-containing protein 17

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibv7owsuyv7d7clq32grsow5n2ixgw4q4dma7pq3hyj72czngozba/metadata.json
IPFS of structure file: 
bafybeic2cpgwdxdkatppiggroumysu2boupmolh5bs2dch6bznzbtvrm4a/AF-Q95KF9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xB35df660264f41795De49C83276C108A4ba91ADE
First NFT owner address (bech32): 
genesis1kdwlvcpxfaqhjh0ynjpjwmqs3f96jxk780zc93
Current NFT ID #540038 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
540038
Accession (UniProt):
Q95KF9
Name::
Zinc finger CCHC domain-containing protein 17
Experimental Method:
Predicted structure
Sequence source:
MACACA FASCICULARIS

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 Q95KF9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q95KF9|ZCC17_MACFA Zinc finger CCHC domain-containing protein 17 OS=Macaca fascicularis OX=9541 GN=ZCCHC17 PE=2 SV=1 MSSCRVDKPSEIVDVGDKVWVKLIGREMKNDRIKVSLSMKVVNQGTGKDLDPNNVIIEQEERRRRSFQDYTGQKITLEAVLNTTCKKCGCKGHFAKDCFMQPGGTKYSLIPDEEEEKEEAKSAEFEKPVPTRNPSRKRKKEKKKKKHRDRKSSDSDSSDSESDTGKRARHTSKDSKAAKKKKKKKKHKKKHKE