Q2PG37 AF NFT

Cell division cycle protein 123 homolog

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiedtujow74q54eyulc5blzsus7wx3xb4kbqhwj3z7ezbcltqpt3ae/metadata.json
IPFS of structure file: 
bafybeia24wfsfnwbksmmeng3svd4s7yzqwpdkavcunnvoahi7mjlmif4pu/AF-Q2PG37-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xBff4117c3aeAEEC3Deb08c0EF8C20B62bfBbb2cE
First NFT owner address (bech32): 
genesis1hl6pzlp6athv8h4s3s803sstv2lmhvkwkagdts
Current NFT ID #56064 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
56064
Accession (UniProt):
Q2PG37
Name::
Cell division cycle protein 123 homolog
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 Q2PG37 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2PG37|CD123_MACFA Cell division cycle protein 123 homolog OS=Macaca fascicularis OX=9541 GN=CDC123 PE=2 SV=1 MKKEHVLHCQFSAWYPLFRGVTIKSVILPLPQNVKDYLLDDGTLVVSGRDDPPTHSQPDSDDEAEEIQWSDDENTATLTAPEFPEFATQVQEAINSLGGSVFPKLNWSAPRDAYWIAMNSSLKCKTLSDIFLLFKSSDFITRDFTQPFIHCTDDSPDPCIEYELVLRKWCELIPGAEFRCFVKENKLIGISQRDYTQYYDHISKQKEEICRCIQDFFKKHIQYKFLDEDFVFDIYRDSRGKVWLIDFNPFGEVTDSLLFTWEELISENNLNGDFSEVDAQEQDSPAFRCTNSEVTVQPSPYLSYRLPKDFVDLSTGEDAHKLIDFLKLKRNQQEDD