Q9R012 AF NFT

Serine/threonine-protein kinase PLK2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiehdxdw75l3gpwcisbdswqdyutcx2y7ig5vmyanjkstyrrnfqtwfi/metadata.json
IPFS of structure file: 
bafybeihx2zjd5vrpgaao7vui42qcmiy4ro3istjbhsx3bakmhex2pptqcu/AF-Q9R012-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6c0ed31180Cc0c9710f03b1b73d6101358ba9204
First NFT owner address (bech32): 
genesis1ds8dxyvqesxfwy8s8vdh84sszdvt4ysyw7alkk
Current NFT ID #301364 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
301364
Accession (UniProt):
Q9R012
Name::
Serine/threonine-protein kinase PLK2
Experimental Method:
Predicted structure
Sequence source:
RATTUS NORVEGICUS

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 Q9R012 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9R012|PLK2_RAT Serine/threonine-protein kinase PLK2 OS=Rattus norvegicus OX=10116 GN=Plk2 PE=1 SV=1 MELLRTITYQPAAGTKMCEQALGKACGGDSKKKRPQQPSEDGQSQAQVTPAAPHHHHHHSHSGPEISRIIVDPTTGKRYCRGKVLGKGGFAKCYEMTDLTNNKVYAAKIIPHSRVAKPHQREKIDKEIELHRILHHKHVVQFYHYFEDKENIYILLEYCSRRSMAHILKARKVLTEPEVRYYLRQIVSGLKYLHEQEILHRDLKLGNFFINEAMELKVGDFGLAARLEPLEHRRRTICGTPNYLSPEVLNKQGHGCESDIWALGCVMYTMLLGRPPFETTNLKETYRCIREARYTMPSSLLAPAKHLIASMLSKNPEDRPSLDDIIRHDFFLQGFTPDRLSSSCCHTVPDFHLSSPAKNFFKKAAAALFGGKKDKARYNDTHNKVSKEDEDIYKLRHDLKKTSITQQPSKHRTDEELQPPPTTFAKSGTSAVENKQQIGDAIRMIVRGTLGSCSSSSECLEDSTMGSVADTVARVLRGCLENMPEADCIPKEQLSTSFQWVTKWVDYSNKYGFGYQLSDHTVGVLFNNGAHMSLLPDKKTVHYYAELGQCSVFPATDAPEQFISQVTVLKYFSHYMEENLMDGGDLPSVTDIRRPRLYLLQWLKSDKALMMLFNDGTFQVNFYHDHTKIIICNQNEEYLLTYINEDRISTTFRLTTLLMSGCSLELKHRMEYALNMLLQRCN