Q86KE7 Cyclin-C MolNFT, Molecular NFT on GenesisL1

Cyclin-C

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeien6rjijc62gx25fncd6smsnmun36gwwna26azr5ueqcmnlwwyvcu/metadata.json

IPFS of structure file:

bafybeiaw67tyokt4lh3uvcogu55tjchsh5syxzvxwgnmzha4tugv5p6gum/AF-Q86KE7-F1-model_v2.pdb

First NFT owner address (eip-55):

0xcce15CCeeEef9E956975d87AC85799C0EA236277

First NFT owner address (bech32):

genesis1ens4enhwa70f26t4mpavs4uecr4zxcnhx2pcmm

Current NFT ID #55394 owner (web3):

0x5B92Ca2886C109632BF8623f55418EAeaf0DD1AD

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
55394
Accession (UniProt):
Q86KE7
Name::
Cyclin-C
Experimental Method:
Predicted structure
Sequence source:
DICTYOSTELIUM DISCOIDEUM

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 Q86KE7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q86KE7|CCNC_DICDI Cyclin-C OS=Dictyostelium discoideum OX=44689 GN=cycC PE=3 SV=1 MAANFWESSHCTEWLLDRNKIEESNPKDKQYLTPIELKKLRTHYCFVIQNLGNALKLRQRAISTAIVYFKRFYLKNSFVDCEPRLVAVTCLYLSSKVEECITQAKKCAAKMKEIDHSFNYLMNDILECEFFVLEELDFCLIIYHPYKSLPFYLQSSGLDPASIEIIWGIVNDSYRTDVCLLYPPFVVGLGCILLGSYLLKKDIKQWLSELNVEMKDIWEVSKDLIDYYEFEKQQSLQNQSELDLLYNKLPIRNKK

Q86KE7 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q86KE7 research and analysis (ICN3D with VR)

FASTA sequences

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