Q8LQM5 AF NFT

Probable indole-3-acetic acid-amido synthetase GH3.1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihhomoxknckmageq575m64pxist3w4spkmnf63sa2qoajrxxhgy3q/metadata.json
IPFS of structure file: 
bafybeifl7okfamjfbdl357iukwvappzhkblvlf56yvjshylzbumqebhyly/AF-Q8LQM5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0B05083723A769b6d5CDbC8826Dd66DE061604b8
First NFT owner address (bech32): 
genesis1pvzssder5a5md4wdhjyzdhtxmcrpvp9crxgwvf
Current NFT ID #147089 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
147089
Accession (UniProt):
Q8LQM5
Name::
Probable indole-3-acetic acid-amido synthetase GH3.1
Experimental Method:
Predicted structure
Sequence source:
ORYZA SATIVA SUBSP. JAPONICA

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 Q8LQM5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8LQM5|GH31_ORYSJ Probable indole-3-acetic acid-amido synthetase GH3.1 OS=Oryza sativa subsp. japonica OX=39947 GN=GH3.1 PE=2 SV=1 MPEAPTAKTAPAYGYAPGAHAEALEFIEHVTANAGQVQRRVLGEILAQNAPAEYLRRYGIPGSPDVVDAFRRLVPLVTYEGLQPDILRIANGDTSPIFSGKPISEFLTSSGTSGGERKLMPTIADEMNRRSLLYSLLMPVMSQSVSGLDKGKAMYLLFVKAESRTPGGLAARPVLTSYYRSRQFLDRPRDPYTSYTSPDEAILCVDSYQSMYAQLLCGLVHRADVLRVGAVFASGFLRAIHFLEKHWARLCHDIRTGELDPEITDRVVRDAVGRVLRADPALADAIEDECARASWEGIIRRLWPRTKYIDVIVTGTMSQYIPTLEFYGGGLPLTCTMYASSECYFGLNLNPMCKPSDVAYTLIPTMCYYEFLPVNCNNATAEASHRDLVDLVDVKLGHEYELVVTTYSGLYRYRVGDVLRVAGFKNKAPMFSFVRRQNVALSVDSDKTDETELHAAVSGAVQHLAPFGASLVEYTSYADAATIPGHYVLFWELRAGSTAVPASVFEECCLSVEEALNSVYRQGRACDRSIGPLEIRVVAEGTFDKLMDYAISRGASINQYKAPRCVRPGPVVELLDARVQGKYFSPKCPKWSPGNKQWNKSKDLVGKGDA