Q90ZE2 AF NFT

Zinc finger protein 703

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihfxliwintuwcxqhhac2j7hx5gsia7vhvyutannau64ichddaueju/metadata.json
IPFS of structure file: 
bafybeiakaut2bjmqvr2sf3cbbodzgnu2bcmwfnama4mmvlzsdw6orjcu2u/AF-Q90ZE2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5e58272ea25a05e06901A2eAe9f63939b344e0c6
First NFT owner address (bech32): 
genesis1tevzwt4ztgz7q6gp5t4wna3e8xe5fcxxnzlgjh
Current NFT ID #541451 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
541451
Accession (UniProt):
Q90ZE2
Name::
Zinc finger protein 703
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 Q90ZE2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q90ZE2|ZN703_DANRE Zinc finger protein 703 OS=Danio rerio OX=7955 GN=znf703 PE=1 SV=1 MSELPPGFAVSPRNQQTFKSHYITNDSSPTCLGLQVDSIASLPYRDPARQEKRLPIRILKMLTAHTSHILHPEYLQPLSSAPVSIELDAKKSPLALLAQTCSQIGKPDPPPSSKLGSLSSSSHGDKDSRSSSSSLKSGEHQNLDDKSSFKPYSKTGSECRKEGAGINSSADKAGFRVPNGSSSSVTCTSLPPHAPSPRASSPQQTSGQSHTHRQSQSPLSQKTAHLQTTHMDSKAAGSDPGNDSSSSGSDRNGKKDSDHNKSSLDVVQIANSSHARASVNSSSASSSSSPQPDSKTDSQPPQPSLGTGHIAPVSPFKPGHSVFPLPSSTMGYHGSIVGAYTGYPSQFVPGLDPAKSSLGMGVPGKHPSSSPLTGASPPSFMQGLCRDPYCLTYPNAPHLGGSNCSSCVHDPSSALKSGFPLMYPTHHLHSLHPSSLSSSATSSLSHPLYTYGFMLPNETLPHACNWVSVGGPCDKRFATSEELLAHLRTHTALPGVDGKLLSGYPSSVSSAASCHLHLPPPSSPGALPSSLSLRGSPGLGLARYHPYGKAHLPGAPSLPMHSLPATAPYYSPYALYSQRLGSASALGYQ