Q8NXY1 Ribulokinase MolNFT, Molecular NFT on GenesisL1

Ribulokinase

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeicyxocth7463jmagsf4spnc5is24sfkndtgpqattzsk3n3mq4rpiu/metadata.json

IPFS of structure file:

bafybeieirgjgdl7ykjr6slg7lwrpmmp75or4ji6o6pmkzkeqqlw3q7iy5e/AF-Q8NXY1-F1-model_v2.pdb

First NFT owner address (eip-55):

0xB781C5D6894bF47E98e7E0694E2068D0Aa97E4BD

First NFT owner address (bech32):

genesis1k7qut45ff068ax88up55ugrg6z4f0e9aptcwa3

Current NFT ID #19928 owner (web3):

0x17929714e8AC933ecd9259e972Ac1d436713b8a9

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
19928
Accession (UniProt):
Q8NXY1
Name::
Ribulokinase
Experimental Method:
Predicted structure
Sequence source:
STAPHYLOCOCCUS AUREUS (STRAIN MW2)

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 Q8NXY1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8NXY1|ARAB_STAAW Ribulokinase OS=Staphylococcus aureus (strain MW2) OX=196620 GN=araB PE=3 SV=1 MSYSIGIDYGTASGRVFLINTTNGQVVSKFVKPYTHGVIESELNGLKIPHTYALQNSNDYLEIMEEGISYIVRESKIDPDNIVGIGIDFTSSTIIFTDENLNPVHNLKQFKNNPHAYVKLWKHHGAYKEAEKLYQTAIENNNKWLGHYGYNVSSEWMIPKIMEVMNRAPEIMEKTAYIMEAGDWIVNKLTNKNIRSNCGLGFKAFWEEETGFHYDLFDKIDPKLSKVIQDKVSAPVVNIGEAVGKLDDKMAQKLGLSKETMVSPFIIDAHASLLGIGSEKDKEMTMVMGTSTCHLMLNEKQHQVPGISGSVKGAIIPELFAYEAGQSAVGDLFEYVAKQAPKSYVDEAANRNMTVFELMNEKIKHQMPGESGLIALDWHNGNRSVLSDSNLTGCIFGLTLQTKHEDIYRAYLEATAFGTKMIMQQYQDWHMEVEKVFACGGIPKKNAVMMDIYANVLNKKLIVMDSEYAPAIGAAILGAVSGGAHNSINDAVDAMKEPILYEINPEAEKVQRYETLFKAYKALHDIHGYKKANIMKDIQSLRVEG

Q8NXY1 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q8NXY1 research and analysis (ICN3D with VR)

FASTA sequences

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