Q95JN2 AF NFT

Uncharacterized protein C9orf43 homolog

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihd5uiwxsosevd6wvpak74npm5xo3blset67lusuz3olynyczofmu/metadata.json
IPFS of structure file: 
bafybeic5bxv6vhxgigqfgnz45xbjno4trv3jon45yjte42sx5f64vj7htm/AF-Q95JN2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA94Fa173ae66BEB1f6B8a6F8f7C799dB208BC152
First NFT owner address (bech32): 
genesis14986zuawv6ltra4c5mu003uemvsghs2jpkrxs7
Current NFT ID #63075 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
63075
Accession (UniProt):
Q95JN2
Name::
Uncharacterized protein C9orf43 homolog
Experimental Method:
Predicted structure
Sequence source:
MACACA FASCICULARIS

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 Q95JN2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q95JN2|CI043_MACFA Uncharacterized protein C9orf43 homolog OS=Macaca fascicularis OX=9541 GN=QtsA-15013 PE=2 SV=1 MDLPDESQWDETTCGFAVCQHPQCWATVRRIERGRPRILGSTCKTPLDAEDKLPVLTVVNISDSCFAPRHLPECTVTKARSLLSRSSKFYSKFHGRPPKGLPDKSLINCTNRLPKLPVLNLNETQLPCPEDVRNMVVLWIPEETEIHGRQHGKKKRKNLTVKSKSFLGLSGNQSAVTRVETPGMTVPPPTPVQLSKQFSSDFLPLWAQSEALPQDLLKELLPDRKQTMPCLEMKIKLAMMKKNLPLERNRPDSAISSKMFLSIHRLTLERPALRYPERLKKLHNLKTEGYRKQQQWQQQQQQRKVKTPIKKQEAKKKAKSDPGSQSTSHKHPVTTVHDPLYGYRTLPGQNGDMKQQQQMEKGTTSKQDSTERPKMDYCDHVDFHHNVKGPELYETEPTNKDISAPVEAVLKAQAARQKKISFNFSEIMVRTGWNSELKLLRILQETDDEDEENQYSEAEKPLEE