Q54P00 AF NFT

Probable serine/threonine-protein kinase abkD

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidezebinzaxqcg6ydp7trl533x7wquaiadxx2y4bagvhks7dbydza/metadata.json
IPFS of structure file: 
bafybeiczfq3ntabqetwtxclgvmqnupp2gjcx2dhrwdvvn6gjk6uhmv42ze/AF-Q54P00-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x661f92Fc5950020C7aB410B5F5b9a3f429F49Ae5
First NFT owner address (bech32): 
genesis1vc0e9lze2qpqc745zz6ltwdr7s5lfxh9yetntg
Current NFT ID #3791 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
3791
Accession (UniProt):
Q54P00
Name::
Probable serine/threonine-protein kinase abkD
Experimental Method:
Predicted structure
Sequence source:
DICTYOSTELIUM DISCOIDEUM

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 Q54P00 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q54P00|ABKD_DICDI Probable serine/threonine-protein kinase abkD OS=Dictyostelium discoideum OX=44689 GN=abkD PE=2 SV=1 MKILKFSLLSKLKHKDFIVTSFRNNIINSIKNNNTNNNGLLKFSNNKYNFLNNNNNNNNNNVNKINNVYYINNNFKNVMENKIKPSSIQFFSSLSNKYNLNSFTTTKPQPCQAKPPSSKQQQQQQQQQQQQQQQQQQQQSKKKTSKDRLRDILKKTVITPQEFLNVLQRFAKNYKKTIASILAAIALIIYSYETPDSYFGSMMNVIVRFYRAMKCATKIMINYKILSYTPEKSSEYLEKSKICHQESADLILDLCLTNGGLYIKAGQYIASLNHILPIQYTKTLSVLQDQAPWRDFYEVESVFLKDLGNAPNHYFSDFDRLPIAAASLAQVHRAITKEGEEVAVKVQYVDLQRNFDGDIFTHNVLLTLVNMAFPDFEFNWMAEEMKNVLIKELDFSQEADNAERAAQDLSSNNNAYIPKVFRPYSSKRILTTEFIHGCKINNVQAIRSMGLSEKTVSQRFMEIMCEQIFIHAFVHVDPHAGNVLVRQHPNHPNQPQIVLLDHGLYREYDEEFRLNFCNLYKNLVLCNNKKVEKYSKALGVQNWKLFSTMILMRNFEGSSVGLSNSISSEELEKLLSGAIERLKDINLLMKAMPRHLLLILRNNNLLRSINMELGSPVNRFSIMARYAAKGLNSNSSKNSGIIRLVKSVEEKVSLEVMLKGYELYYYFVNRILSILIRLHIINPEKLIKDQMKKLG