Q9N2L7 AF NFT

Serine/threonine-protein kinase plk-2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiagimfpqud53xz7jrzx3onktut3gv46sa6lm4ypz4st2rcqewghmu/metadata.json
IPFS of structure file: 
bafybeih2drnekrzhjeff2nxsi227xqmt25kmnzgpux5b5hw3mw5yjksdhe/AF-Q9N2L7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x613050B9B793A1B5E9D1eC027267638DE6DbC575
First NFT owner address (bech32): 
genesis1vyc9pwdhjwsmt6w3asp8yemr3hndh3t4a9vfdq
Current NFT ID #301360 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
301360
Accession (UniProt):
Q9N2L7
Name::
Serine/threonine-protein kinase plk-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 Q9N2L7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9N2L7|PLK2_CAEEL Serine/threonine-protein kinase plk-2 OS=Caenorhabditis elegans OX=6239 GN=plk-2 PE=1 SV=1 MQRVQPSAARVKSQKKEKAPPDVPDVILDGERKTRYEKGKFLGKGGFAHCYELRNKSTGELFAGKVVPKALLIKQYQRDKMAQEVQIHRNLQHRNVVKLYHFFEDKSNVYITLELCPRRSLMELHKRRKAVTEPEARYFTYQIVEGVLYLHNLKIVHRDLKLGNLFLNDELQVKIGDFGLATTCDNDERKKTLCGTPNYIAPEVLNKIGHSFEVDLWAIGCILYILLFGHPPFESKSLEETYSRIKNNNYVIPTSASAAASQLIRVLLDPVPSRRPNARAVCRDHFFKSGFMPARLPVSCLTMVPHLNDDEYAEENVSPSGTIDQRGPHQAGRSGLSAIPAHLVSRNSERQQTHRMEAYRQPTDCYLSNLLAQVNDLLATPTADIDDAEAALDSYQSPEALPVFWISKWVDYSDKYGIGYQLCDNSVGVLFNDNSRIMLDTAGTQLTYIEKTEKEHYFDMESAIPSGLQKKMTLLKYFRSYMNDHLLQAGQQVTRKVGDDLARLPTLRVWFRTKSAIVLHLSNGTVQINFFNDHIKMVLCPLMQAVTFIDENKRMFTYKFSHLAENGCPEKFLHRIQYAKCMIQRLVEEHTKEETKHNAPAANAVRLPSTSSNVRLESAADIQPAYPSSSRR