Q9ERQ3 AF NFT

Zinc finger protein 704

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifmaolnnw6kazgh2lwnvioyn7osow63yowffcsao4jhci6pmfoe3e/metadata.json
IPFS of structure file: 
bafybeidlalmklmcwbpuxbcfbmupqzn7nl3vg36j4oozz5zhegkh553neuu/AF-Q9ERQ3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9512b297e46c759A24813dae7167C0c49EF1E7fB
First NFT owner address (bech32): 
genesis1j5ft99lyd36e5fyp8kh8ze7qcj00relmef2nyz
Current NFT ID #541457 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
541457
Accession (UniProt):
Q9ERQ3
Name::
Zinc finger protein 704
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 Q9ERQ3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9ERQ3|ZN704_MOUSE Zinc finger protein 704 OS=Mus musculus OX=10090 GN=Znf704 PE=1 SV=1 MQARRLAKRPSLGSRRGGAAPAPAPEAAALGLPPPGPSPAAAPGSWRPPLPPPRGTGPSRAAAASSPVLLLLGEEDEDEEGAGRRRRTRGRVTEKPRGVAEEEDDDEEEDEEVVVEVVDGDEDDEDAEERFVPLGPGRALPKGPARGAVKVGSFKREMTFTFQSEDFRRDSSKKPSHHLFPLAMEEDVRTADTKKTSRVLDQEKETRSVCLLEQKRKVVSSNIDVPPARKSSEELDMDKVTAAMVLTSLSTSPLVRSPPVRPNEGLSGSWKEGAPSSSSSSGYWSWSAPSDQSNPSTPSPPLSADSFKPFRSPAPPDDGIDEADASNLLFDEPIPRKRKNSMKVMFKCLWKSCGKVLNTAAGIQKHIRAVHLGRVGESDCSDGEEDFYYTEIKLNTDATAEGLNTVAPVSPSQSLASAPAFPIPDSSRTETPCAKTDTKLVTPLSRSAPTTLYLVHTDHAYQATPPVTIPGSAKFTPNGSSFSISWQSPPVTFTGVPVSPPHHPTAGSGEQRQHAHTALSSPPRGTVTLRKPRGEGKKCRKVYGMENRDMWCTACRWKKACQRFID