Q9FNC9 AF NFT

Mitochondrial import receptor subunit TOM9-2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigrobpyh6ghaz3hzoxogphir2zocuo7rf5biprxcqlghcx6zsvts4/metadata.json
IPFS of structure file: 
bafybeidrtpw4obgavpmraxgo2lda5lwfbxohj2gidkjs4zjx4qa3wndbvm/AF-Q9FNC9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xE0133A5C26Bb1461729180C18CbEfF3c1cAf1d1A
First NFT owner address (bech32): 
genesis1uqfn5hpxhv2xzu53srqce0hl8sw278g6z2vuk6
Current NFT ID #469874 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
469874
Accession (UniProt):
Q9FNC9
Name::
Mitochondrial import receptor subunit TOM9-2
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 Q9FNC9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9FNC9|TOM92_ARATH Mitochondrial import receptor subunit TOM9-2 OS=Arabidopsis thaliana OX=3702 GN=TOM9-2 PE=1 SV=3 MAAKRIGAGKSGGGDPNILARISNSEIVSQGRRAAGDAVEVSKKLLRSTGKAAWIAGTTFLILVVPLIIEMDREAQINEIELQQASLLGAPPSPMQRGL