Q6C8T3 AF NFT

Altered inheritance of mitochondria protein 9, mitochondrial

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeighgwlqgdphawafogmqmfwte4lusavxwi5sjrwbzlwceiouml3whu/metadata.json
IPFS of structure file: 
bafybeianpehrfo2xwr5dmwgwe3wmrjdvla3su3g4rjibkjtu7c3iosmraa/AF-Q6C8T3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5BeA89782341f98147F2D811B063F91F0aE7D7bF
First NFT owner address (bech32): 
genesis1t04gj7prg8ucz3ljmqgmqcleru9w04al6k7v50
Current NFT ID #12375 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
12375
Accession (UniProt):
Q6C8T3
Name::
Altered inheritance of mitochondria protein 9, mitochondrial
Experimental Method:
Predicted structure
Sequence source:
YARROWIA LIPOLYTICA (STRAIN CLIB 122 / E 150)

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 Q6C8T3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6C8T3|AIM9_YARLI Altered inheritance of mitochondria protein 9, mitochondrial OS=Yarrowia lipolytica (strain CLIB 122 / E 150) OX=284591 GN=AIM9 PE=3 SV=1 MQSWNSQSFLSSHFTMLRYACKRAVPRLNAASGLRFQSSKPADGPETVFTSLNEENDPNRDAFFKYTWGTWLKNNEAERAKRETRFSIEGLAEVIKSLPQSGKAPIEAETEIKVTQLASLHEGKHHRVYRVDVDDGKQYVLRIPYGLGSELFRKKRIQSEVATMDFVREKVANNKFIVPEVYSWNATVDNPLDTQYTLMDYFAGRDTLMKHWNPVAQEMTERAAKIKPVVDIYSALLQPEFTRYGSLYFTEDVSSKDASVLAYKGAENDKKELADRWRIGPTTESRFWKNSLPEDSPLRGPWETAEEYIEATAAINLHNLAELAKNGDRNPAVVAAATATYEKYQQLASQLLLRPEVENDNLFSARMGFGDLHPINVLVEGQKDIAESSLALVDFENTSIKPALLIGTPDYVRYGGLKLFKTEDIPNYDQLSDQEKAQVNYMIAQTQNAFTFEFLLNNEAPEFINSFSPRVKRLSEPVRLALNPLYLEDHLDLSEEMIKLQQDWTPIMGMEREFPVHWTNEEYEKQAKDFAEWNQKAMSTPFFQTKGWVPQDMFEQLFGNGLLDKTESGDYVYVPPKKE