Q54IF2 AF NFT

Probable serine/threonine-protein kinase DDB_G0288795

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiamyn635pxfi7qft535azvqrcxxlihlevorj3oodgfu3zpfz3m2ce/metadata.json
IPFS of structure file: 
bafybeihin5jxpwil256i2jbnhf4gzxsiw2scuoayhgrxblt264gyhlpwly/AF-Q54IF2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x26b4f882EF3Ad62CE99d00E3cC6F1F054c691CE6
First NFT owner address (bech32): 
genesis1y6603qh08ttze6vaqr3ucmclq4xxj88xv69j5q
Current NFT ID #503261 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
503261
Accession (UniProt):
Q54IF2
Name::
Probable serine/threonine-protein kinase DDB_G0288795
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 Q54IF2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q54IF2|Y0670_DICDI Probable serine/threonine-protein kinase DDB_G0288795 OS=Dictyostelium discoideum OX=44689 GN=DDB_G0288795 PE=2 SV=1 MLKDIYNSLLSKKQEESNMAAWNNEDILETQAQLFFSIKSIKGLKIMDNPIKVYCLASLEKQSVQTSSIVINKDQSQIEWNEGYTFDVISSKSILALSIWQGNANVTIANNSIEGGGSSNNSKLVGKLYIPFATFKKQFCDQWFPLTGTSQSVSIHVKTSFTNSSKKVTVDDFIFLRMIGRGAFGQVNLVKKIDTGRLYAMKVIKKDKCLNMNAVGHTFTERKLLKKYYHPFIVGLKYSFQTQDSLCMVLDYIGGGELFYHISERETFSEETARFYIGQIMLAIGFLHEHGVIYRDLKLENLLMDLDGNICLVDLGLCKEGIQEGHVTYTMCGSPEYVAPEIINGTGYSKSVDWWALGTLFYEMIAGLPPFYSEDPHEMTKLILSSPLKFPPQISKNAASLVSLLLNRDPSKRLGSGESDVEEIKAHPFFKNVNWSKLLNKEVDPPFKPHLVGPLDLSYFDPLCTMNSQPINPYTINSNLSDQDQMAFQGFSYSAPDIFLNNNNNTTTSNTNIGGSGSNSGSAQNSPYNSLRNTPPSIISMMKMSGSSGGFERMSPGHFSPISVNKQQQIQQQQQQHHQPPPLLQPQPQFWVQPQHPNHIPQPMAQLPILSKLQETTFERRRSLSVNAQTQFTLVLDPNEE