F4KF65 AF NFT

Importin subunit alpha-9

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihr4qxe3gticufxhgoqiansqhebat4hcozo3gc5ibdphd5ngcfbzy/metadata.json
IPFS of structure file: 
bafybeid56u7nvvxiizzwdwsne2624esijlw2d2rdza2p6j36qtvuawh7e4/AF-F4KF65-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf0499937360e4cB9525C05fF483fd933882978d7
First NFT owner address (bech32): 
genesis17pyejdekpextj5juqhl5s07exwyzj7xh39lxn4
Current NFT ID #189891 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
189891
Accession (UniProt):
F4KF65
Name::
Importin subunit alpha-9
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 F4KF65 research and analysis (ICN3D with VR)

FASTA sequences

>sp|F4KF65|IMPA9_ARATH Importin subunit alpha-9 OS=Arabidopsis thaliana OX=3702 GN=IMPA9 PE=3 SV=1 MADDGSASNRRDPIKSSVGNVAGQRRRKQAVTVAKERRELLVRAKRLCRVGTNGDVEDALVENEMMVDEEQPILEAQASKSVEELKSAVQYQGKGAMQKRVTALRELRRLLSKSEFPPVEAALRAGAIPLLVQCLSFGSPDEQLLESAWCLTNIAAGKPEETKALLPALPLLIAHLGEKSSAPVAEQCAWAIGNVAGEGEDLRNVLLSQGALPPLARMIFPDKGSTVRTAAWALSNLIKGPESKAAAQLVKIDGILDAILRHLKKTDEETATEIAWIIVYLSALSDIATSMLLKGGILQLLIDRLATSSSLQLLIPVLRSLGNFVAVDPKAVLTILIREQNTEESIIGVLAKCLRSEHRVLKKEAAWVLSNIAAGSIEHKRMIHSTEVMPLLLRILSTSPFDIRKEVAYVLGNLCVESAEGDRKPRIIQEHLVSIVSGGCLRGFIELVRSPDIEAARLGLQFIELVLRGMPNGEGPKLVEGEDGIDAMERFQFHENEELRVMANSLVDKYFGEDYGIDE