Q8C0G2 AF NFT

TRAF3-interacting JNK-activating modulator

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiarimlo6vrwb5qkquynvjpe5cpte733b4axrrpc5pziax6pg2xbqi/metadata.json
IPFS of structure file: 
bafybeiblxloksdxl2xl3mpwebcn4xcqmdzzzvoqfr35ybrm34pyflrmkue/AF-Q8C0G2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x159cb1C131ECe756820c8254cD8C85115D764551
First NFT owner address (bech32): 
genesis1zkwtrsf3ann4dqsvsf2vmry9z9whv323rupgyd
Current NFT ID #456583 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
456583
Accession (UniProt):
Q8C0G2
Name::
TRAF3-interacting JNK-activating modulator
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

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 Q8C0G2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8C0G2|T3JAM_MOUSE TRAF3-interacting JNK-activating modulator OS=Mus musculus OX=10090 GN=Traf3ip3 PE=1 SV=2 MISSDSRSSPGLARWAESYEAKCERRQETRENRRRRRNETTCRQPGKVLRTQHKERLQGARQLQFLKRRNLEEEKKGQAREQGPSSKTDGGTGQVSILKESLPGANKASFPGQQETGISSEVFPALHHSSSGIQRDLGGHHASHGRAFPPQDSDIKKPHRQHRGTQTKAEEALPTIKNDASQQTNCGVAVLDKDIIQLSEYLKEALHRELILKKKMVILQDLLPALIRASDSSWKGQLNEDKLKGKLRSLENQLYTCLQKHSPWGMKKVLLEMEDQRSSYEQKAKASLQKVLEEKMCAEQQLQRAQLSLALAEQKCQEWKSQYEALKEDWRTLGDQHRELESQLHVLQSKLQGADSRDSQMSQALQLLENEHQELQTKLESLQGDGEQQSSETQDLQDQLKKSEEEKQALVSKVQQLQSLLQNQSLQLQEQEKLLKKDQGLPVWNPKLSLDEVKPEGTRKEKEEELRDQLQKETFQLQVKENELQCGQWLPVLMVVIATALAVFLANKGNLVI