Q9SKK4 AF NFT

Probable 2-oxoacid dependent dioxygenase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicaw6hgchtl5cc65vvehblb7phj3yg4q5hgqcjh2vbjdiapxfxmsi/metadata.json
IPFS of structure file: 
bafybeidq5yjaarz4xf2d7nh7dy3t5av5diqg4i2ww47rpkmhobeordeicm/AF-Q9SKK4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1143A10Eac823556c4cb3e5BD2a807B903d506F2
First NFT owner address (bech32): 
genesis1z9p6zr4vsg64d3xt8eda92q8hypa2phjsacsrr
Current NFT ID #160353 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
160353
Accession (UniProt):
Q9SKK4
Name::
Probable 2-oxoacid dependent dioxygenase
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 Q9SKK4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9SKK4|GSL_ARATH Probable 2-oxoacid dependent dioxygenase OS=Arabidopsis thaliana OX=3702 GN=GSL-OH PE=1 SV=1 MAENYDRASELKAFDEMKIGVKGLVDAGVTKVPRIFHNPHVNVANPKPTSTVVMIPTIDLGGVFESTVVRESVVAKVKDAMEKFGFFQAINHGVPLDVMEKMINGIRRFHDQDPEVRKMFYTRDKTKKLKYHSNADLYESPAASWRDTLSCVMAPDVPKAQDLPEVCGEIMLEYSKEVMKLAELMFEILSEALGLSPNHLKEMDCAKGLWMLCHCFPPCPEPNRTFGGAQHTDRSFLTILLNDNNGGLQVLYDGYWIDVPPNPEALIFNVGDFLQLISNDKFVSMEHRILANGGEEPRISVACFFVHTFTSPSSRVYGPIKELLSELNPPKYRDTTSESSNHYVARKPNGNSSLDHLRI