Q9SIZ0 AF NFT

Putative dehydration-responsive element-binding protein 2H

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie76uc4y2h5k6c63l7gmxky736huasyjsndu7fsvrzunx23l7azze/metadata.json
IPFS of structure file: 
bafybeia3becmhqubwbhcrrklj4j3smgjy2hmleggbulhrcyzhegkea6qsu/AF-Q9SIZ0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x805108b3adf62349cD15C1e3fD96fa37c0792E36
First NFT owner address (bech32): 
genesis1spgs3vad7c35nng4c83lm9h6xlq8jt3kxkej4w
Current NFT ID #105071 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
105071
Accession (UniProt):
Q9SIZ0
Name::
Putative dehydration-responsive element-binding protein 2H
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 Q9SIZ0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9SIZ0|DRE2H_ARATH Putative dehydration-responsive element-binding protein 2H OS=Arabidopsis thaliana OX=3702 GN=DREB2H PE=5 SV=3 MPRKRKSRGTRDVAEILRKWREYNEQTEADSCIDGGGSKPIRKAPPKRSRKGCMKGKGGPENGICDYTGVRQRTWGKWVAEIREPGRGAKLWLGTFSSSYEAALAYDEASKAIYGQSARLNLPLLPLCQARLLHFLMNLKFVHVRIQMQDLVLVRSD