P33543 AF NFT

Putative kinase-like protein TMKL1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicby7hutnvl2bbqfvmrjd4oy6cb76w2jjstd57brgkiwdy4enaom4/metadata.json
IPFS of structure file: 
bafybeic4q3edaoncujubstfzdwy7yvssk3x24tlvtcikn2j2ngvuq3yntq/AF-P33543-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbDA05C32aD6eE153C8C5A78dfa48d7Ba25694fea
First NFT owner address (bech32): 
genesis1hks9cv4ddms48jx957xl5jxhhgjkjnl2ggp9vq
Current NFT ID #468643 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
468643
Accession (UniProt):
P33543
Name::
Putative kinase-like protein TMKL1
Experimental Method:
Predicted structure
Sequence source:
ARABIDOPSIS THALIANA

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 P33543 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P33543|TMKL1_ARATH Putative kinase-like protein TMKL1 OS=Arabidopsis thaliana OX=3702 GN=TMKL1 PE=1 SV=1 MGMEALRFLHVIFFFVLILHCHCGTSLSGSSDVKLLLGKIKSSLQGNSESLLLSSWNSSVPVCQWRGVKWVFSNGSPLQCSDLSSPQWTNTSLFNDSSLHLLSLQLPSANLTGSLPREIGEFSMLQSVFLNINSLSGSIPLELGYTSSLSDVDLSGNALAGVLPPSIWNLCDKLVSFKIHGNNLSGVLPEPALPNSTCGNLQVLDLGGNKFSGEFPEFITRFKGVKSLDLSSNVFEGLVPEGLGVLELESLNLSHNNFSGMLPDFGESKFGAESFEGNSPSLCGLPLKPCLGSSRLSPGAVAGLVIGLMSGAVVVASLLIGYLQNKKRKSSIESEDDLEEGDEEDEIGEKEGGEGKLVVFQGGENLTLDDVLNATGQVMEKTSYGTVYKAKLSDGGNIALRLLREGTCKDRSSCLPVIRQLGRIRHENLVPLRAFYQGKRGEKLLIYDYLPNISLHDLLHESKPRKPALNWARRHKIALGIARGLAYLHTGQEVPIIHGNIRSKNVLVDDFFFARLTEFGLDKIMVQAVADEIVSQAKSDGYKAPELHKMKKCNPRSDVYAFGILLLEILMGKKPGKSGRNGNEFVDLPSLVKAAVLEETTMEVFDLEAMKGIRSPMEEGLVHALKLAMGCCAPVTTVRPSMEEVVKQLEENRPRNRSALYSPTETRSDAETPF