Q55G83 AF NFT

Probable serine/threonine-protein kinase abkC

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicy3oj4rtfzm5znw4ck4am2zkbhpspe7hu7jvwseecxmkvqzjjima/metadata.json
IPFS of structure file: 
bafybeib42ltncsmuafsfw3fk72qttmc7k64oygino3xr7oefytg4myac4i/AF-Q55G83-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA5679Ea923b25F9e26b7597F1E5fD2be7f1A6Ad9
First NFT owner address (bech32): 
genesis154nea2frkf0euf4ht9l3uh7jhel356kejaxl7p
Current NFT ID #3790 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
3790
Accession (UniProt):
Q55G83
Name::
Probable serine/threonine-protein kinase abkC
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 Q55G83 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q55G83|ABKC_DICDI Probable serine/threonine-protein kinase abkC OS=Dictyostelium discoideum OX=44689 GN=abkC PE=3 SV=1 MSNKQIFLKFKSGEIILNNFNKYTDSISSKLLFYQNIKNQENNSGNENYKNFNYNYKNKNNYNNNNNNNNSNSSSNNNGSNNNIKFNSLFISSIYLYNNNNSNNNDLKNDKNDNSIGNINKIIKPKIEIQDLLNPFEAIKEIVGNKEDEEINLVKIGIRVLELGLILLPSVLTFPCCFIPGVKELWWQLLLETIQFSGTCWIKFGQWISTRPDLFPDLLIEKFSQLHSQCPSHSFQFTNESIENSFNGKSIKDLFLWFDEEPMASGSVAQVHKALTMDGKVAVVKVLHPNVKSNIKRDFFIIYSLIWAFSHIPEMKWLSLPESILEFGKSMMKQADLELEASHLNRFNSNFKYNSEVIFPKPLYPLVSKEVLVESFEPGSPIMDFIKKNDHHNPTLAKIGLSAYMQMMLVDNFVHADLHPGNVLVRTSDDDNFKSIDNNYFKKYNNDNDQQQQQQYNLPFKRKLYDTIEKSHKKFDSMLGGIQLKSIDFKEHQKSSPKLIFLDVGLVTQLGQQDKDHFIELFTEIVNGNGKEGAELLIRYAREAKCTEEEMYQFKERMGTLFNQVQNSKLSEVHVGQFMSEILGLVREYHVKIESNFATLVMGTIVLEGLGKQLDPSLGLLKAAIPFLLKSQVFSFSNFIKDFFLKSKTSKKQLNNDNNNNNNNNNNNKNNNDNNNKNNNNKNNNEKNK