Q9QYE0 AF NFT

Zinc finger protein PLAG1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaec5lmzyxd2ku5jkx4tuxmjo43nlpi2t5mjunqy56lqpr767x45i/metadata.json
IPFS of structure file: 
bafybeigqwxuq23anljuwmui6gdv2tedxhsc5b2yrhwi2lxrkp3mkheu67e/AF-Q9QYE0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x194968a4123fAB585c965411D154e40875B5eb1f
First NFT owner address (bech32): 
genesis1r9yk3fqj8744shyk2sgaz48ypp6mt6clwel49w
Current NFT ID #300848 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
300848
Accession (UniProt):
Q9QYE0
Name::
Zinc finger protein PLAG1
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 Q9QYE0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9QYE0|PLAG1_MOUSE Zinc finger protein PLAG1 OS=Mus musculus OX=10090 GN=Plag1 PE=2 SV=2 MATVIPGDLSEVRDTQKAPSGKRKRGESKPRKNFPCQLCDKAFNSVEKLKVHSFSHTGERPYKCTHQDCTKAFVSKYKLQRHMATHSPEKTHKCNYCEKMFHRKDHLKNHLHTHDPNKETFKCEECGKSYNTKLGFKRHLALHAATSGDLTCKVCLQNFESTGVLLEHLKSHAGKSSGGVKEKKHQCEHCERRFYTRKDVRRHMVVHTGRKDFLCQYCAQRFGRKDHLTRHMKKSHNQELLKVKTEPVDFLDPFTCNMSVPIKDELLPVMSLPSSELLSKPFTNTLQLNLYNTPFQSMQSSGSAHQMITTLPLGMTCPIDMDAVHPSHHLAFKCPFSSTSYAISIPEKEQPLKGEIESYLMELQGGAPSSSQDSPASSSKLGLEPQSGSPDDGAGDLSLSKSSISISDPLSTPALDFSQLFNFIPLNGPPYNPLSVGSLGMSYSQEEAHSSVSQLPTQTQDLQDPANTVGLSSLHSLSAAFTSSLSSSTTLPRFHQAFQ