Q9LVF1 AF NFT

Protein DMP2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeia5lncifqxebptpgkm4bb6buqcgyypatfvl2tjxc5mdwyaod3vw6u/metadata.json
IPFS of structure file: 
bafybeiamguvkywfhzk76lcfxpceebu5e6unqxrhxnfber7p3lb7mojrsee/AF-Q9LVF1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5517f8f36E0c2BCFC276E392904DC7DA3ad9fe5f
First NFT owner address (bech32): 
genesis125tl3umwps4ulsnkuwffqnw8mgadnljlcxme3m
Current NFT ID #99347 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
99347
Accession (UniProt):
Q9LVF1
Name::
Protein DMP2
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 Q9LVF1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9LVF1|DMP2_ARATH Protein DMP2 OS=Arabidopsis thaliana OX=3702 GN=DMP2 PE=2 SV=1 MSKTFKAIRDRTYSGVGDLIKLLPTGTVFLFQFLNPVLTNNGHCLLINKYLTGVLIVICAFSCCFTCFTDSYRTRDGYVHYGVATVKGLWPDSSSVDLSSKRLRVGDFVHAFFSLIVFSVISLLDANTVNCFYPGFGSAGKIFLMVLPPVIGVISGAVFTVFPSRRHGIGNPSDHSEDDASEMK