Q54FH3 AF NFT

Probable serine/threonine-protein kinase DDB_G0290859

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidae2ns32utxumy5hwpkgqkkc6haosomqe77cvfpd6ji227qe3vhq/metadata.json
IPFS of structure file: 
bafybeiegpgwmbe3bm62b2beqfv3csk7lakevxxrifqxo7scdgwue6kkfay/AF-Q54FH3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbff27Dc0a932A6E0d9Fe883AAbD1BF27bB95A69F
First NFT owner address (bech32): 
genesis1hle8ms9fx2nwpk073qa2h5dly7aetf5lctcm7h
Current NFT ID #508420 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
508420
Accession (UniProt):
Q54FH3
Name::
Probable serine/threonine-protein kinase DDB_G0290859
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 Q54FH3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q54FH3|Y1638_DICDI Probable serine/threonine-protein kinase DDB_G0290859 OS=Dictyostelium discoideum OX=44689 GN=DDB_G0290859 PE=3 SV=1 MEPILIPSQHNRLVIPSEPNEEEFNYIADGYKGKLNIDSYDIISTIGSGSYGEVCIVREKSTKQVYAMKKIYYTEVSDTELVKKRALRERDAMVICNNKNNKRAPKLYCSFIDDNEGVFYYVMEFIAGGDFNSYCYKRLVDGKKFTEEEIKFYIAELVLCLEAFHSYGLLHRDVKPENLMINKDGHLVLGDFGSSKLANNSGGGGGNFGNTLTVPMSTSYSTSPSSSISSSLLGGSGGFTPSHWNGMAGSAGSSFGSSSLGRSFDNTPPNFNSFLRNPHSSYTSYIGTPQYMAVEVVQGVNYSKLCDFWSLGAILFELVTGQALFVESPDTTEQKIRENIGNWRGLLNTAVQKNQPMSKQAESLIRECIAPERKRPDASTIKKHPFFEGINWEEMANFNVEPPFKPTLSSDDDISYFTN