Q9FJD5 AF NFT

Laccase-17

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih22k4465rnsy2tqfoqx25rwjufk27pqgxdtzfvbdiw5y62stxtqi/metadata.json
IPFS of structure file: 
bafybeiaxdac5fbrqzyixnye5otgylrrdlhpmafsuauynwhtvy2urymevoe/AF-Q9FJD5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xAd3B86d781D9715fAa915f2655C59ce99EDd61b7
First NFT owner address (bech32): 
genesis145acd4upm9c4l253tun9t3vuax0d6cdh8fa3g3
Current NFT ID #206808 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
206808
Accession (UniProt):
Q9FJD5
Name::
Laccase-17
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 Q9FJD5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9FJD5|LAC17_ARATH Laccase-17 OS=Arabidopsis thaliana OX=3702 GN=LAC17 PE=2 SV=1 MALQLLLAVFSCVLLLPQPAFGITRHYTLEIKMQNVTRLCHTKSLVSVNGQFPGPKLIAREGDQVLIKVVNQVPNNISLHWHGIRQLRSGWADGPAYITQCPIQTGQSYVYNYTIVGQRGTLWYHAHISWLRSTVYGPLIILPKRGVPYPFAKPHKEVPMIFGEWFNADTEAIIRQATQTGGGPNVSDAYTINGLPGPLYNCSAKDTFRLRVKPGKTYLLRLINAALNDELFFSIANHTVTVVEADAIYVKPFETETILIAPGQTTNVLLKTKSSYPSASFFMTARPYVTGQGTFDNSTVAGILEYEPPKQTKGAHSRTSIKNLQLFKPILPALNDTNFATKFSNKLRSLNSKNFPANVPLNVDRKFFFTVGLGTNPCNHKNNQTCQGPTNTTMFAASISNISFTMPTKALLQSHYSGQSHGVYSPKFPWSPIVPFNYTGTPPNNTMVSNGTNLMVLPYNTSVELVMQDTSILGAESHPLHLHGFNFFVVGQGFGNFDPNKDPRNFNLVDPIERNTVGVPSGGWAAIRFLADNPGVWFMHCHLEVHTSWGLRMAWLVLDGDKPDQKLLPPPADLPKC