Q66AF7 AF NFT

Ribulokinase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihrqnd5dthivcypp566oeuwta5axc45u3ha7ssppjjai6gy574h2q/metadata.json
IPFS of structure file: 
bafybeienldatjzfwh4rmihkn3xbal4vwfk22rluagbpjwvmjbg57wbfvui/AF-Q66AF7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xc2109dbc626e92C6A5c19af95f000C679e655bF6
First NFT owner address (bech32): 
genesis1cggfm0rzd6fvdfwpntu47qqvv70x2klk5p4pna
Current NFT ID #19935 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
19935
Accession (UniProt):
Q66AF7
Name::
Ribulokinase
Experimental Method:
Predicted structure
Sequence source:
YERSINIA PSEUDOTUBERCULOSIS SEROTYPE I (STRAIN IP32953)

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 Q66AF7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q66AF7|ARAB_YERPS Ribulokinase OS=Yersinia pseudotuberculosis serotype I (strain IP32953) OX=273123 GN=araB PE=3 SV=2 MISADGAIALGLDFGSDSVRVLAVDCQHGTEIDTEVVYYPRWKKGLYCQAAQNQFRHHPLDYIEAMEQAIRQMVKRLSEEQRQHIVGIGVDSTGSTPAPIDEQGQVLALRPDFADNPNAMFVLWKDHTAIEEAEEINRLCRSGEFADYSRYIGGVYSSEWFWAKILHVTRADVAVREAAVSWIELCDWVPALLSGTTAPQDIQRGRCSAGHKSLWHPSWGGLPPRAFLAALDTSLVNDLDYPMFTDTYTAERPVGQITAEWAERLGLPTTVILSGGAFDCHMGAVGAGAQPYTLVKVIGTSTCDILIADDQRVGDRAIAGICGQVEGSVLPGWIGMEAGQSAFGDMYAWFSNLLSWPLHQAALTQPEWQPQLKQIESNLLASLTCAWAQNPSLDHLPVVLDWFNGRRTPNANQRLKGVITDLNLGTDAPTLFGGFIAATAFGARAIMECFEQQDIPVENVLALGGIARKSPVIMQVCADVMNRPLQIVASDQCCALGAAIFAAVAAGAHEDVPTAQRHMACNIERTLIPDPVQVVRYQQLYQRYQQWCHTAEPHYAPVTKAIH