Q4R812 AF NFT

GSK3-beta interaction protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidlewa3uc7y7zkg7c4eygpfwfawpptoimpollkogbtqcbnso4ux5m/metadata.json
IPFS of structure file: 
bafybeibz2siol3jvx7wp3clhgvwiwm3nblwzyxw26usuv5wj3pduk2cgfy/AF-Q4R812-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x661f92Fc5950020C7aB410B5F5b9a3f429F49Ae5
First NFT owner address (bech32): 
genesis1vc0e9lze2qpqc745zz6ltwdr7s5lfxh9yetntg
Current NFT ID #160343 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
160343
Accession (UniProt):
Q4R812
Name::
GSK3-beta interaction protein
Experimental Method:
Predicted structure
Sequence source:
MACACA FASCICULARIS

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 Q4R812 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q4R812|GSKIP_MACFA GSK3-beta interaction protein OS=Macaca fascicularis OX=9541 GN=GSKIP PE=2 SV=1 METDCNPMELSSMSGFEEGSELNGFEGTDMKDMRLEAEAVVNDVLFAVNNMFVSKSLRCADDVAYINVETKERNRYCLELTEAGLKVVGYDFDQVDDHLQTPYHETVYSLLDTLSPAYREAFGNALLQRLEALKRDGQS