Q641C9 AF NFT

Cell division cycle protein 123 homolog

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiejsfrpipzfzoleftkwqv6ufycihvk6njwhyanl27jaowtw4sfoce/metadata.json
IPFS of structure file: 
bafybeigyd2ikxyxbwuuvc3dpciqaceikz4k2qambefavgtbwilv2s3p7ui/AF-Q641C9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xFcE1Cc4701f91032c0E3B0766A064D09cFFc5BeC
First NFT owner address (bech32): 
genesis1lnsuc3cplygr9s8rkpmx5pjdp88lcklvsvp0tc
Current NFT ID #56073 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
56073
Accession (UniProt):
Q641C9
Name::
Cell division cycle protein 123 homolog
Experimental Method:
Predicted structure
Sequence source:
XENOPUS LAEVIS

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 Q641C9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q641C9|CD123_XENLA Cell division cycle protein 123 homolog OS=Xenopus laevis OX=8355 GN=cdc123 PE=2 SV=1 MKKEQVLNCQFGQWYPTFKKFSIRSVIIPLPENVKDYLLDDGTLVVSGREESPGCSQRDLNCTEEDEVQWSDDESTATLTAPEFPEFSIKVQEAINSLGGSVFPKLNWSSPRDAYWIALNSSLKCTTLSDIFLLFKSSDFVTHDFTQPFIYCADDSPDPNIKYELVLRKWCELIPGAEFRCFVRENKLIGISQRDYTQYYDHISKQKEEIRKSIQYFFQEHIQYNFPDEDFVFDIYKDSQGKIWLIDFNPFGEVTDSLLFTWEELRRNLCDVPGDVENEDQDCPTFRYTNREVTVQPSPYLSYRLPKDFVDLSTGEDAHKLIDFLKLNRNRQDEDSDD