Q9FJ93 AF NFT

Dehydration-responsive element-binding protein 1D

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiff4reoogbk3wm4zlwp5o3a74nf2orpltmrmk7n5xy7h764kbbzhq/metadata.json
IPFS of structure file: 
bafybeid3b53vgfqvxpone3htvaanbvqyjc7plp6tvcnw3oh3rs45jue4lq/AF-Q9FJ93-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3c6e3C70425C7a2f06b2cebf5636635003E01d5F
First NFT owner address (bech32): 
genesis183hrcuzzt3az7p4je6l4vdnr2qp7q82lsztjmn
Current NFT ID #105028 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
105028
Accession (UniProt):
Q9FJ93
Name::
Dehydration-responsive element-binding protein 1D
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 Q9FJ93 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9FJ93|DRE1D_ARATH Dehydration-responsive element-binding protein 1D OS=Arabidopsis thaliana OX=3702 GN=DREB1D PE=2 SV=1 MNPFYSTFPDSFLSISDHRSPVSDSSECSPKLASSCPKKRAGRKKFRETRHPIYRGVRQRNSGKWVCEVREPNKKSRIWLGTFPTVEMAARAHDVAALALRGRSACLNFADSAWRLRIPETTCPKEIQKAASEAAMAFQNETTTEGSKTAAEAEEAAGEGVREGERRAEEQNGGVFYMDDEALLGMPNFFENMAEGMLLPPPEVGWNHNDFDGVGDVSLWSFDE