P20403 AF NFT

Cytokinin-beta-glucosidase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeig4s356qeiy4qpg4u2enkyhmj44jhp6ipsg7h5z2cknceqhzdqmxu/metadata.json
IPFS of structure file: 
bafybeifrzxbkl4d5xf2jcqngaenokkocojprgkkaacxwtyahatm4j74yve/AF-P20403-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xFad53318A534d8f87B463c42D3b9FB16Fb3D36d9
First NFT owner address (bech32): 
genesis1lt2nxx99xnv0s76x83pd8w0mzman6dke02lrkf
Current NFT ID #384382 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
384382
Accession (UniProt):
P20403
Name::
Cytokinin-beta-glucosidase
Experimental Method:
Predicted structure
Sequence source:
Agrobacterium rhizogenes

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 P20403 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P20403|ROC1_AGRRH Cytokinin-beta-glucosidase OS=Agrobacterium rhizogenes OX=359 GN=rolC PE=4 SV=1 MAEDDLCSLFFKLKVEDVTSSDELARHMKNASNERKPLIEPGENQSMDIDEEGGSVGHGLLYLYVDCPTMMLCFYGGSLPYNWMQGALLTNLPPYQHDVTLDEVNRGLRQASGFFGYADPMRSAYFAAFSFPGRVIKLNEQMELTSTKGKCLTFDLYASTQLRFEPGELVRHGECKFAIG