Q75MW2 AF NFT

Protein ZNF767

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiex3bnzqbspmqrsea6byvogss4ti7qqig7sy5eloa4sjguc7kzc6q/metadata.json
IPFS of structure file: 
bafybeiejseuhi3ikomolw32mwu4a4sxfak3yueqlpeheqkhvdkame6z2di/AF-Q75MW2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9073C46348542FfE4327c3F363F9B51B22058e75
First NFT owner address (bech32): 
genesis1jpeugc6g2shluse8c0ek87d4rv3qtrn44vl0u5
Current NFT ID #541509 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
541509
Accession (UniProt):
Q75MW2
Name::
Protein ZNF767
Experimental Method:
Predicted structure
Sequence source:
HOMO SAPIENS

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 Q75MW2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q75MW2|ZN767_HUMAN Protein ZNF767 OS=Homo sapiens OX=9606 GN=ZNF767P PE=5 SV=1 MEEAAAAPISPWTMAATIQAMERKIESQAAHLLSLEGQTGMAEKKLADCEKTAVEFGNQLEGKWAVLGTLLQEYGLLQRRLENVENLLHNRNFWILRLPPGSKGESPKTTPSPSPRSSPRLNKGRSPATGAALTPRFQMFLWTPVQMQKLRPSRD