Q54V82 AF NFT

Probable inactive serine/threonine-protein kinase DDB_G0280559

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidbhgfctqlc3kzuid7w4vq3llwroglhuq3xlh4vkp3wtslkbqrhra/metadata.json
IPFS of structure file: 
bafybeidmi3tgi53tkovpt75tixg7ztneybqdgx45ptmbr46zd5c62k6fge/AF-Q54V82-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x2d6468164cE8cEf72FaCB7674c842E66552bD59b
First NFT owner address (bech32): 
genesis194jxs9jvar80wtavkan5eppwve2jh4vm92suwd
Current NFT ID #503144 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
503144
Accession (UniProt):
Q54V82
Name::
Probable inactive serine/threonine-protein kinase DDB_G0280559
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 Q54V82 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q54V82|Y0559_DICDI Probable inactive serine/threonine-protein kinase DDB_G0280559 OS=Dictyostelium discoideum OX=44689 GN=DDB_G0280559 PE=3 SV=1 MVLRYSYVFKQPVNYSNIELNEIKNIKDEKVRQNSIFISYLNGLYNSLNVLEMVSISGSLPSKLIQSIFKIILSNYDYNAIGKHFKTESILIGESLFKWPSPRIQQFDQFFFQDYLYSSPENYKGSLVGVNEYSMVWTLGIILYQCLTGELPFPTYPKIVNFITSSSQNVEIPPQFYKPENSLLIQLITCCLFKNPAQRISWNEIVNHSFFKN