Q0VDT2 AF NFT

Zinc finger protein 367

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib5kbbbvkerg57g7g7t37hkjtuqntyjgevpqp2hmh62zygjmbbrke/metadata.json
IPFS of structure file: 
bafybeiawp6tcactuayaoleqn5ecs77vzenyvd7fmwns33qt7h3nkvpd3k4/AF-Q0VDT2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x362a6d063b1B7E1B6EfD3A9A7CA3612e3FE037AA
First NFT owner address (bech32): 
genesis1xc4x6p3mrdlpkmha82d8egmp9cl7qda2uxz2xy
Current NFT ID #541094 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
541094
Accession (UniProt):
Q0VDT2
Name::
Zinc finger protein 367
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 Q0VDT2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0VDT2|ZN367_MOUSE Zinc finger protein 367 OS=Mus musculus OX=10090 GN=Znf367 PE=1 SV=2 MIRGAPAPMAEPPPVVFCHDSPKRVLVSVIRTTPATPPCSSVGEPEPPPPLVPTSPGFSDFMVYPWRWGENAHNVTLSPGAAGGVVSAGLPVAAELPTLRGAPQSSASVAAVSGGEDEEEASSPDSGHLKDGIRRGRPRADTVRDLINEGEHSSSRIRCNICNRVFPREKSLQAHKRTHTGERPYLCDYPDCGKAFVQSGQLKTHQRLHTGEKPFVCSENGCLSRFTHANRHCPKHPYARLKREEPTDALSKHQSPDNKAAAEWLAKYWEMREQRTPTLKGKLVQKADQEQQDPLEYLQSDEEDDEKSGAQRRLQEQRERLHGALALIELANLTGAPLRQ