Q9W2U4 AF NFT

Serine/threonine-protein phosphatase 4 regulatory subunit 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibtmce4murahqwnq4pnwtc3pa75rhtp3bxjyfbgifr3bnm7dwmfqu/metadata.json
IPFS of structure file: 
bafybeibka5y66xpwki3d2gwqebb67kh5lbhyfabe5yy5rttuj2mrnpajym/AF-Q9W2U4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x04726090273ee3Cf442C951969BB1de9607d29f6
First NFT owner address (bech32): 
genesis1q3expyp88m3u73pvj5vknwcaa9s8620ky57waa
Current NFT ID #306124 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
306124
Accession (UniProt):
Q9W2U4
Name::
Serine/threonine-protein phosphatase 4 regulatory subunit 2
Experimental Method:
Predicted structure
Sequence source:
DROSOPHILA MELANOGASTER

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 Q9W2U4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9W2U4|PP4R2_DROME Serine/threonine-protein phosphatase 4 regulatory subunit 2 OS=Drosophila melanogaster OX=7227 GN=PPP4R2r PE=1 SV=2 MVTMENSDEIMQILERFTDLKQKEIPKELEEYLQYVAKTGDTIFKWSSLKYLFREKLLSVIKHFNEDSPRLEEIPNYPNVDPFNYETMKSSLLERLDLFNAAPFTVQRLCELLIDPRKQYSRIDKFMRALEKNILVVSTIDPGRKRTESENGDSLDSVVNGDLSMEVNIDIEMENNNGNADEGSSPGAGSAGCAQKASCPRSDDNDQPKAKKAKLEIDGEERSEASDETDTEVATRVKNEKDEKNDNDETDSPHEAAEIEEPDEEVDEADQETKTTKQPAYGSQKEGEQEESFPSSADDEAEDPMVSKSIEAEKELVAQEKKREEDKKVAIEPKEEIVKKEEVVESDKPDGKVAQLGDKAVVKKSTPPADGENQEPVKVKAENEKEEKKHAPIKTEKQDDIDSTETDDAPSAEKPAEEKIASSESKPKTKSEDDPEAETKKSQPEKTETEAAEKSVSDEKQAAEPNAESENRNDLTTSKATEAAQESVEKSPVEDASSPAVEDLAAATTPQSPLGAADSAAETPPAETGDDSQASPLVAAVTPPVLALNDQPMEDTPAEEEARVSPSATVEEVVMAESANAGAMATEEAAKDDPAAMEIDDTSQEVMMQ