Q9FJK7 AF NFT

Cyclin-C1-2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiexltzifgtyjkhv4pgvybry7j5wfm7jsjwtj45xcagsosxip7mcc4/metadata.json
IPFS of structure file: 
bafybeiea2zhusfblgh3xoazf3aigauwrgslg7h6z7cprvci6abrjxnoh74/AF-Q9FJK7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x71112d4fF7ebb3b617963c05f052289e073082FD
First NFT owner address (bech32): 
genesis1wygj6nlhawemv9uk8szlq53gncrnpqha56an79
Current NFT ID #54278 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
54278
Accession (UniProt):
Q9FJK7
Name::
Cyclin-C1-2
Experimental Method:
Predicted structure
Sequence source:
ARABIDOPSIS THALIANA

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 Q9FJK7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9FJK7|CCC12_ARATH Cyclin-C1-2 OS=Arabidopsis thaliana OX=3702 GN=CYCC1-2 PE=2 SV=1 MASNFWTSTHYKELKDPEEVNVVHPLDAQRGISVEDFRLIKLHMSNYISKLAQHIKIRQRVVATAVTYMRRVYTRKSLTEYEPRLVAPTCLYLACKAEESVVHAKLLVFYMKKLYADEKFRYEIKDILEMEMKVLEALNFYLVVFHPYRSLPEFLQDSGINDTSMTHLTWGLVNDTYRMDLILIHPPFLITLACIYIASVHKEKDIKTWFEELSVDMNIVKNIAMEILDFYENHRLFTEERVHAAFNKLATNP