Q2TL60 AF NFT

Zinc finger protein 667

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidbvd2nwebfhj2papyeq3fxkkpw3jqslpoimuyykdzuycf6wmauja/metadata.json
IPFS of structure file: 
bafybeiaonzhqdeqwxrdzpuvchh7zjrqj2t3uuutomuiam5mvo6xvomt4vq/AF-Q2TL60-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4Ef77Afb5a3D9F41c95Be3227D1CC986CCb61835
First NFT owner address (bech32): 
genesis1fmmh47668k05rj2muv3868xfsmxtvxp4uykwq9
Current NFT ID #541405 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
541405
Accession (UniProt):
Q2TL60
Name::
Zinc finger protein 667
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 Q2TL60 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2TL60|ZN667_MOUSE Zinc finger protein 667 OS=Mus musculus OX=10090 GN=Znf667 PE=2 SV=1 MPAVRGKSKSKAPVTFGDLAIYFSQEEWEWLSPMQKDLYEDVMLENYHNLVSVGLACRRPNIIALLEKGKAPWVIEPSRRRWGPESGSKYETKKLPPNSCHKSGPSICEKPTSSQQKVPTEKAKHNKSSVPSKSKKEHSGKKSLKCNLCGKTFFRSLSLKLHQDFHTGERSYECSTCRHVFRQILSLILHQRVHNWNKSYECDKCGDIFNKKLTLMIHRRIHNGKESFHHEKASDSCPSLSLHRNNHTTDSVHQCRKCGKVFSRMSSLLLHKRSHNRKKIQKYNKYKRGFKKQPVLVHKRVCIGKKTHESKKALIQSARQKTCQSENPFMCGKCGKSFSRISALMLHQRIHTSGNPYKCDKCQKDFGRLSTLILHLRIHSGEKQFKCSKCEKVCSRLSSFIQHQKIHKRKKKLIACKECGKMFGGMKNLKVHLNIHSEEKPFKCNKCSKVFGRQSFLSEHQRIHTGEKPYQCEECGKAFSHRISLTRHKRIHSEDRPYECDLCGKAFSQSAHLAQHERIHTGEKPYACKICKKSFAQRISLILHERSHTGERPYECNECGKAFSSGSDLIRHQRSHSSEKPYECSKCGKAYSRSSSLIRHQSIHSEETP