Q54DY0 AF NFT

Probable serine/threonine-protein kinase DDB_G0291918

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifpc3t2cc5j4myxavnb5fjkij6sqsuvsfgwok43afvsuqtyxydfma/metadata.json
IPFS of structure file: 
bafybeiaxdkxteaemcoqp4tvhqhieqvflciu2ip2oak3fkyqpi6jn6uzeim/AF-Q54DY0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x86283f5e0b64C8C8cAC3e5b76FB193d147dB34BD
First NFT owner address (bech32): 
genesis1sc5r7hstvnyv3jkrukmklvvn69rakd9ahl2cgd
Current NFT ID #510004 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
510004
Accession (UniProt):
Q54DY0
Name::
Probable serine/threonine-protein kinase DDB_G0291918
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 Q54DY0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q54DY0|Y1918_DICDI Probable serine/threonine-protein kinase DDB_G0291918 OS=Dictyostelium discoideum OX=44689 GN=DDB_G0291918 PE=3 SV=1 MSNQRVLYWPETYNNIKELGRGVSGVVYKASHKKTGQIVAIKLVDMKQSKISTEQIQGEIRALLTLNPENERTHINIIKLIQCFIHKTTAIFILEYVDGGTLEDFMYSFERGMPLSLISHCLYQSVNAIEYMNSKKCSHRDIKPANILMLRNRKPKLKQQSEQQQQEDGGYIRYSGQFQLEPSSQENNNYQFDPDELPILKVTDYGYASISGNDSAEIHSTLAGSPLYMAPEIIHIILSPFLEPGTGKLSADSSEGYNPLLVDVWAIGAVAFRLITGDDLISVIFPNLNQTTVLAALVNLAKMIDNGDFQKGLDSIPNEIRKYGLVDPDIELGISFITSLLQLDPKKRLPLKETLNHPFLAKGKLSFTQTLNQHYKDNKDVLGSIVPSDISNFLNQNQQQQQQQQKSFSTSSLPQVNHNNDTNNNNNNNNNNNNNNNNNNNNNNNNNNNNEKDKDNQSNNSSSSSSSSSPPSPTISKSSPSSLSSSLSPSSSTDDLPKAMKWSSSVKPPKKSNFAPTFLSHQRSDKITLFPKLLPPPTKDAPPLETMNWRSPPVEVGDSITWTTLTQDAIFQVQFSVLTSFLKVISASNSYQFRIITSLTKVPLEIAVSNHKDTILYMYNIVKSVIAPQLISLSNAFDENSIRSVLAAILYQIGTETEQAEIANCWTLV