Q9DBU3 AF NFT

Serine/threonine-protein kinase RIO3

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicxmu2dn446tubila6febrkmtjfcvqwqqv3jmyvc4emkdahelsvb4/metadata.json
IPFS of structure file: 
bafybeia2ildnu34q3f5z2qo7hvsj4zp3jgcqal7cd62anulpepglj2ssca/AF-Q9DBU3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xeA0d8FF4839C0545b3FB16A68737935efa2cfED1
First NFT owner address (bech32): 
genesis1agxclayrnsz5tvlmz6ngwduntmazelk3at3vv9
Current NFT ID #345989 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
345989
Accession (UniProt):
Q9DBU3
Name::
Serine/threonine-protein kinase RIO3
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

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 Q9DBU3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9DBU3|RIOK3_MOUSE Serine/threonine-protein kinase RIO3 OS=Mus musculus OX=10090 GN=Riok3 PE=1 SV=3 MDLVGVSSPEPGPAAAWGPSKCPWATPQNTVSCSLTEVMSEELAKELQLEEEAAAFPEVVVAEGPFISGENIDTSSDLMLAQMLQMEFDREYDAQLRREEKKFNGDSKVSISFENYRKVHPFEDSDSSEDEVDWQDTRDDPYRPAKPIPTPKKGFIGKGKDITTKHDEVVCGRKNTARMENFAPGFQVGDGIGMDLKLSNHVFNALKQHAYSEERRSARLHEKKEHSTAEKAVDPKTRLLMYKMVNSGMLETITGCISTGKESVVFHAYGGSLEDEKEDGKAIPTECAIKVFKTTLNEFKNRDKYIKDDFRFKDRFSKLNPRKIIRMWAEKEMHNLTRMQKAGIPCPTVVLLKKHILVMSFIGHDQVPAPKLKEVKLSNEEMKDAYYQTLHLMQQLYNECTLVHADLSEYNMLWHAGKVWLIDVSQSVEPTHPHGLEFLFRDCRNVSQFFQKGGVTEALNERELFNAVSGLNISADNEADFLAEIEALEKMNEDHIQKNGRKAASFLKDDGSPPVLSAD