Q99LH4 AF NFT

Zinc finger protein 672

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeietlbluybhbiwovs7pqp4l6eiljdupkagzrwldqec4gid6whb5dm4/metadata.json
IPFS of structure file: 
bafybeibjvz4ulre2rfowk2jpgkb5dfl5c7d7zjcbi6ydr2uh7vp7renxdi/AF-Q99LH4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xDf0A1A1c845A70f9887E8506596072Cb57688C62
First NFT owner address (bech32): 
genesis1mu9p58yytfc0nzr7s5r9jcrjedtk3rrz7k8mvh
Current NFT ID #541415 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
541415
Accession (UniProt):
Q99LH4
Name::
Zinc finger protein 672
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 Q99LH4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q99LH4|ZN672_MOUSE Zinc finger protein 672 OS=Mus musculus OX=10090 GN=Znf672 PE=2 SV=1 MFTAPGMATTQERPYSCSVCGKSFQYSAVLLRHERAHGGDKRFCCLECGERCARAADLRAHRWTHAGQTLYICSECGQSFSHSGLLDLHLGTHRRRSRTRPCRLCGRRFPHVPALLLHRARQHPPEKPHRCPLCARSFRQSALPFHLARAHPPEIITVTAPSPSTLYHCTQCPRAFHSSAGLRNHSRIHVVPSLSDPGTEAHLCGICGKSFSKSSTLTRHLQRHSGEKPFKCPECGKGFLESATLVRHQRTHTGEKPYACSDCGRCFSESSTLLRHQRSHQGERPHVCATCGKGFGQRYDLVVHQRSHTGERPFPCPQCGRGFTDRSDLTKHLRTHTGEKPYHCELCGKRFTCISNLNVHLRNHAGHKPHKCPECGKSFSVASKLALHRKTHLGERTAECTECGKFFSHGRSLSQHQRSHRRARAAAMAATTTTTVVTEVTIGPSLTLTGPTEQEKSGLLVSPFQETC