Q6PC40 AF NFT

Cell division cycle protein 123 homolog

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeich75trcplo5nwwy3jvz2vczlr545rolugcr72nujg4cwlctl7n34/metadata.json
IPFS of structure file: 
bafybeibva4ktru524law2rp2s7hifhnkifs3ujzptzxatz7ba2vfts6woe/AF-Q6PC40-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf87a97E0A4bB354D834857B14296240B167cbe70
First NFT owner address (bech32): 
genesis1lpaf0c9yhv65mq6g27c5993ypvt8e0nsz8y8ua
Current NFT ID #56058 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
56058
Accession (UniProt):
Q6PC40
Name::
Cell division cycle protein 123 homolog
Experimental Method:
Predicted structure
Sequence source:
DANIO RERIO

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 Q6PC40 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6PC40|CD123_DANRE Cell division cycle protein 123 homolog OS=Danio rerio OX=7955 GN=cdc123 PE=2 SV=1 MKKEQVVNCQFSVWYPLFKKHTIKSLILPIPQNVIDYLLDDGTLVVSGSENNNSQTQANNSDSDEEDIQWTDDETTTTVTAPEFPEFNVKVQEAINVLGGCIFPKLNWSAPRDANWIALNSSLQCQSLSEIFLLFKSSDFITHDLTQPFLHCSDDSPDPTINYELVLRKWSELIPGGEFRCFVKENKLIAICQRDYTQHYQHIGKQEASISTSILQFFRDNIQYQFPDEDFVLDVYRDSSGRVWLIDFNPFGEVTDSLLFTWEELTSGKNLTANQTQEETALPDGPAFRCTNSEVTVQPSPCLSYRIPRDFLDLTTGEDAYKLIDFLKLKRGQQEEEEESNEEGEEPQ