Q9VQE5 AF NFT

Probable proteasome subunit beta type-2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibboskhyqhaptq7nnda7u6io54xjru7vbclqj3u7ertnrv57kk6x4/metadata.json
IPFS of structure file: 
bafybeigzagft7ujqzoaojchugmpjjmwzvdkvmkewrpv7plu423xhozfcdu/AF-Q9VQE5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x29894F62A9f25abd629a1bF7686E1c61F21B176f
First NFT owner address (bech32): 
genesis19xy57c4f7fdt6c56r0mksmsuv8epk9m00hcc4y
Current NFT ID #313374 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
313374
Accession (UniProt):
Q9VQE5
Name::
Probable proteasome subunit beta type-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 Q9VQE5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9VQE5|PSB2_DROME Probable proteasome subunit beta type-2 OS=Drosophila melanogaster OX=7227 GN=Prosbeta4R2 PE=2 SV=3 MAMETILGIKGPDFVMLASDTMQAKSLVFMKDDQSKIHRLSDFNMMATVGDGGDTIQFTDFISKNLHLYKISHGYHLSAKSAAHFTRKTLADYIRTNTRYQVAMLLAGYDAVEGPDLHYIDSYGAAQSINHAGHGWGSMFCGSILQRYWNSKLSQEDAYSLMKKCVLEIQRRLIINQRNFEVYVVDSKGMRKMEAINPGSLNKESISLSW