Q9LRQ8 Phenolic glucoside malonyltransferase 2 MolNFT, Molecular NFT on GenesisL1

Phenolic glucoside malonyltransferase 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeif7emgujjbvqsf5426by7litvbsot6qiqjfohd5e2ho3iqysdbfbu/metadata.json

IPFS of structure file:

bafybeidyw3j3vkkntxvrifwnhz5rcjhzlwpen3quml5jqvjbraxpepxlke/AF-Q9LRQ8-F1-model_v2.pdb

First NFT owner address (eip-55):

0x100609714B35e7372d137b552e2e7d843682FA31

First NFT owner address (bech32):

genesis1zqrqju2txhnnwtgn0d2jutnassmg9733qlsflc

Current NFT ID #303184 owner (web3):

0xa629093B0be4f69cdF30F18a14844a0734BA9D93

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
303184
Accession (UniProt):
Q9LRQ8
Name::
Phenolic glucoside malonyltransferase 2
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 Q9LRQ8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9LRQ8|PMAT2_ARATH Phenolic glucoside malonyltransferase 2 OS=Arabidopsis thaliana OX=3702 GN=PMAT2 PE=1 SV=1 MTLHVIETARVTPTDYSVINSANLHKLPLTFFDLPWLLFQPVKRVFFYELTESTRDHFHSIILPKLKDSLSLILRNYLPLTGHITWEPNEPKPSIIVSENGVVLVTIAESDADFSHLSGYGQRPLSELHALVPKLPVSDDSATAFSIQITLFPNQGFSIGVAAHHAVLDGKTSSTFIKAWAQICKQELQSMPENLTPSYDRSLIKYPTYLDEKMIELVRSLKEDQTNIRSLTSLPSSKLGDDVVLATLVLSRADIERLREQVKNVSPSLHLSTFVIAYAYAWTCFVKARGGNKDRSVSLLFVGDFRDRLDPKLPGTYFGNCMIPVGCYNRKAAEFMEEKGFVTAAEIISDLVKGLSSRKIETIADTFVEGFSFQSWSTQFGTIAGSTRLGVYEADFGWGRPVKVDIVSIDQGEAIAMAERRDESGGVEIGMCLKKTEMDSVVSFFNNGLHS

Q9LRQ8 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q9LRQ8 research and analysis (ICN3D with VR)

FASTA sequences

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