Q9LQZ2 AF NFT

Dehydration-responsive element-binding protein 2D

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifjsgjyuxfpv4pnpk747u5anbpdnczgbznk6fewgsmf575i63gdri/metadata.json
IPFS of structure file: 
bafybeicj7ciqujwdrapto2mbug7ywonoqjymhsdynahfdwuzunssq4dv24/AF-Q9LQZ2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa629093B0be4f69cdF30F18a14844a0734BA9D93
First NFT owner address (bech32): 
genesis15c5sjwctunmfehes7x9pfpz2qu6t48vnm5hzjw
Current NFT ID #105065 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
105065
Accession (UniProt):
Q9LQZ2
Name::
Dehydration-responsive element-binding protein 2D
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 Q9LQZ2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9LQZ2|DRE2D_ARATH Dehydration-responsive element-binding protein 2D OS=Arabidopsis thaliana OX=3702 GN=DREB2D PE=2 SV=1 MSSIEPKVMMVGANKKQRTVQASSRKGCMRGKGGPDNASCTYKGVRQRTWGKWVAEIREPNRGARLWLGTFDTSREAALAYDSAARKLYGPEAHLNLPESLRSYPKTASSPASQTTPSSNTGGKSSSDSESPCSSNEMSSCGRVTEEISWEHINVDLPVMDDSSIWEEATMSLGFPWVHEGDNDISRFDTCISGGYSNWDSFHSPL