Q99KE8 AF NFT

Zinc finger protein 64

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieyr6ztc43ev43j5tzxxbyvtnb26ju7rjluge2owx7re7lbmo5a4i/metadata.json
IPFS of structure file: 
bafybeiahcmfxp2t4lvqhreqzjeahgxhxxktkemtc5xsnpdxakf77lmijei/AF-Q99KE8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5B512bd394b2C26666F29ac411B48fc4F8882391
First NFT owner address (bech32): 
genesis1tdgjh5u5ktpxvehjntzprdy0cnugsgu3vj4cgc
Current NFT ID #540404 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
540404
Accession (UniProt):
Q99KE8
Name::
Zinc finger protein 64
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 Q99KE8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q99KE8|ZFP64_MOUSE Zinc finger protein 64 OS=Mus musculus OX=10090 GN=Zfp64 PE=1 SV=1 MNASVEGDTFSGSMQIPGGTTVLVELAPDIHICGLCKQHFSNLDAFVAHKQSGCQLTTTPVTAPSTVQFVAEETEPATQTTTTTISSETQTITVSAPEFVFEHGYQTYLPTESTDNQTATVISLPTKSRTKKPTAPPAQKRLGCCYPGCQFKTAYGMKDMERHLKIHTGDKPHKCEVCGKCFSRKDKLKTHMRCHTGVKPYKCKTCDYAAADSSSLNKHLRIHSDERPFKCQICPYASRNSSQLTVHLRSHTASVLENDVQKPAGLPAEESDAQQAPAVTLSLEAKERTATLGERTFNCRYPGCHFKTVHGMKDLDRHLRIHTGDKPHKCEFCDKCFSRKDNLTMHMRCHTSVKPHKCHLCDYAAVDSSSLKKHLRIHSDERPYKCQLCPYASRNSSQLTVHLRSHTGDTPFQCWLCSAKFKISSDLKRHMIVHSGEKPFKCEFCDVRCTMKANLKSHIRIKHTFKCLHCAFQGRDRADLLEHSRLHQADHPEKCPECSYSCSNPAALRVHSRVHCTDRPFKCDFCSFDTKRPSSLAKHIDKVHREGAKTENRAPPGKDGPGESGPHHVPNVSTQRAFGCDKCGASFVRDDSLRCHRKQHSDWGENKNSNLVTFPSEGIATGQLGPLVSVGQLESTLEPSHDL