F1QMB9 AF NFT

Cyclin-K

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidyumb7pnwotim2ylirybmafpcrnr5selzhcd2hz34nmxbze2uqjq/metadata.json
IPFS of structure file: 
bafybeidq2fa4ozo4yvg2ut74tj5l4g2s6tzsh54t3g45slxdvpxo5vpwza/AF-F1QMB9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4d07E6a23DeB6B95bd9b90EcB67368b7e8D3B77e
First NFT owner address (bech32): 
genesis1f5r7dg3aad4et0vmjrktvumgkl5d8dm7pxdzfr
Current NFT ID #55470 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
55470
Accession (UniProt):
F1QMB9
Name::
Cyclin-K
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 F1QMB9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|F1QMB9|CCNK_DANRE Cyclin-K OS=Danio rerio OX=7955 GN=ccnk PE=2 SV=3 MKDGKENSNATFGSFTTNLDHTKPCWYWDKKDLAHTPSQSDLDPATEARYRREGARFIFDVGTRLGLHYDTLATGITYFHRFYMFHSFKQFPRYVTGACCLFLAGKVEETPKKCKDIIKTARSLLNDVQFAQFGDDPKEEVMVLERILLQTIKFDLQVEHPYQFLLRYAKQLKGDKNKVQKLVQMAWTFVNDSLCTMLSLQWEPEIIAVAVMYLAGRLCKFDIQEWTSKQSSRRWWEQFVQDVPVELLEDICHQILDLYSQGKQPIPQQPPMQDKEKPPPPPAAPPGQSGAQNPPAQPPSKKNSPQASPPAKIKRQHVSPKDEPKAPAEQVGSKIPRLESPMPPLPVSQPPERKTPSAIPAPPAEAEPAAASELDPAQGPAPPLPHGAPPPLPHRPPPTEFGGPCSDFLSSVKHKRRYLDDDRNL