Q9M2Y0 AF NFT

Phytosulfokines 3

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibcekbmlgdbl7flq2bjytd6aaxih22363ijrbmqdhr5yuazdkvc3y/metadata.json
IPFS of structure file: 
bafybeiffwhbxcdxbxy2lncvddgdczqepysi3fwqzdkdx3uccmslwzs75fi/AF-Q9M2Y0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xe98bf0c02d2A46E3299A9930210B6C72162719bF
First NFT owner address (bech32): 
genesis1ax9lpspd9frwx2v6nyczzzmvwgtzwxdl6avkay
Current NFT ID #316982 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
316982
Accession (UniProt):
Q9M2Y0
Name::
Phytosulfokines 3
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 Q9M2Y0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9M2Y0|PSK3_ARATH Phytosulfokines 3 OS=Arabidopsis thaliana OX=3702 GN=PSK3 PE=2 SV=2 MGKFTTIFIMALLLCSTLTYAARLTPTTTTALSRENSVKEIEGDKVEEESCNGIGEEECLIRRSLVLHTDYIYTQNHKP