Q7SZN2 AF NFT

E3 ubiquitin-protein ligase RNF170

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeighoa6t3jgi4jbozqo73gtyeecxguad7zw4bgq6oi3kfstqysflji/metadata.json
IPFS of structure file: 
bafybeib2gp6f6evzzpzxbmlx5t34wpauwa7e7jjdcek4bjfrciuhi545cu/AF-Q7SZN2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf1a8F1556714059A77767ecA75A15ac431c60971
First NFT owner address (bech32): 
genesis17x50z4t8zsze5amk0m98tg26cscuvzt3964tm7
Current NFT ID #379781 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
379781
Accession (UniProt):
Q7SZN2
Name::
E3 ubiquitin-protein ligase RNF170
Experimental Method:
Predicted structure
Sequence source:
DANIO RERIO

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 Q7SZN2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7SZN2|RN170_DANRE E3 ubiquitin-protein ligase RNF170 OS=Danio rerio OX=7955 GN=rnf170 PE=2 SV=1 MEGSVCVDGAAAPAPDEASLIEGVSNAVLLVLVLSVTLLAGLTTLLCRSEQQRIHPESQERVRVVREQLQAEQVSSESRHQFYSDMSCPVCLQQAVLPVETNCGHLFCGSCIIAYWRYGTWLGAISCPICRQMVTLLFPLFQDSEQSAVAADSPVEPTLILTDISDYNRRFSGQPRSLLDRLRDVPTLLRHAFREMFSVGGLFWMFRVRILLCVCGALAYLVSPLDFLPEGVLGLLGFLDDFFVILLLFIYISIMYREVVTQRLAG