Q95ZQ4 AF NFT

5'-AMP-activated protein kinase catalytic subunit alpha-2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibv5hq6jfjblenjk2ahgcxaexiodoinymqtwrzguyxlgzusu56vyi/metadata.json
IPFS of structure file: 
bafybeiaujrbsa4insrl266emymhxufqlghgfuov7asih3pvojgx3nemweu/AF-Q95ZQ4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6Dc146208de75f433B0cA37588fA133d01B61494
First NFT owner address (bech32): 
genesis1dhq5vgydua05xwcv5d6c37sn85qmv9y5c3wymg
Current NFT ID #2860 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
2860
Accession (UniProt):
Q95ZQ4
Name::
5'-AMP-activated protein kinase catalytic subunit alpha-2
Experimental Method:
Predicted structure
Sequence source:
CAENORHABDITIS ELEGANS

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 Q95ZQ4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q95ZQ4|AAPK2_CAEEL 5'-AMP-activated protein kinase catalytic subunit alpha-2 OS=Caenorhabditis elegans OX=6239 GN=aak-2 PE=1 SV=2 MFSHQDRDRDRKEDGGGDGTEMKSKSRSQPSGLNRVKNLSRKLSAKSRKERKDRDSTDNSSKMSSPGGETSTKQQQELKAQIKIGHYILKETLGVGTFGKVKVGIHETTQYKVAVKILNRQKIKSLDVVGKIRREIQNLSLFRHPHIIRLYQVISTPSDIFMIMEHVSGGELFDYIVKHGRLKTAEARRFFQQIISGVDYCHRHMVVHRDLKPENLLLDEQNNVKIADFGLSNIMTDGDFLRTSCGSPNYAAPEVISGKLYAGPEVDVWSCGVILYALLCGTLPFDDEHVPSLFRKIKSGVFPTPDFLERPIVNLLHHMLCVDPMKRATIKDVIAHEWFQKDLPNYLFPPINESEASIVDIEAVREVTEFQRYHVAEEEVTSALLGDDPHHHLSIAYNLIVDNKRIADETAKLSIEEFYQVTPNKGPGPVHRHPERIAASVSSKITPTLDNTEASGANRNKRAKWHLGIRSQSRPEDIMFEVFRAMKQLDMEWKVLNPYHVIVRRKPDAPAADPPKMSLQLYQVDQRSYLLDFKSLADEESGSASASSSRHASMSMPQKPAGIRGTRTSSMPQAMSMEASIEKMEVHDFSDMSCDVTPPPSPGGAKLSQTMQFFEICAALIGTLAR