Q9SA32 AF NFT

Putative cyclin-B3-1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidw44uumzi3qlrduhbqcv444utu237putiaragav5t42vb64usrd4/metadata.json
IPFS of structure file: 
bafybeiedgqpafcyelnq42u3g6q5ngb2aq64mk3v3k4gtrlj2ncwa54744y/AF-Q9SA32-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1431f8f2D8A0757F2EEF7D9a43c9edC067005BE8
First NFT owner address (bech32): 
genesis1zscl3ukc5p6h7th00kdy8j0dcpnsqklg6y6sc7
Current NFT ID #54266 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
54266
Accession (UniProt):
Q9SA32
Name::
Putative cyclin-B3-1
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 Q9SA32 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9SA32|CCB31_ARATH Putative cyclin-B3-1 OS=Arabidopsis thaliana OX=3702 GN=CYCB3-1 PE=3 SV=2 MLRDGNKQSKNNVRFVRKSIKTTVKTSLQNRSSLKKPPVGRSKSRSISSIPSSAVASTLSLPEKVETKCLEEDTQGESSSSGNKDPTTKVLDVTAKPKSKRRKSFTSLLVNGSKFDEKNGETTEPEKLPSIDDESNQLEVAEYVDDIYQFYWTAEALNPALGHYLSAHAEVSPVTRGILINWLIEVHFKFDLMHETLYLTMDLLDRYLSQVPIHKNEMQLIGLTALLLASKYEDYWHPRIKDLISISAESYTREQILGMERSMLKQLKFRLNAPTPYVFMLRFLKAAQSNKKLEQLAFYLIELCLVEYEALKYKPSLLCASAIYVARCTLHMTPVWTSLLNNHTHYNVSQMKDCSDMILRFHKAAKTGNLRVTYEKYINPDRSNVAVLKPLDKLPL