Q7ZXQ3 AF NFT

Homocysteine-responsive endoplasmic reticulum-resident ubiquitin-like domain member 2 protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeia6d7vxxjaf3kvhmdoz4y2pnpasubezo4qxhkzfnsymv62t2bcema/metadata.json
IPFS of structure file: 
bafybeidajvucrpyjrqlj7oouquj2trv7u3ypscwybyfwlb7xgdqduoltg4/AF-Q7ZXQ3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5881B09f2D8e743400698633641fc1cD2Ed2BE6F
First NFT owner address (bech32): 
genesis1tzqmp8ed3e6rgqrfscekg87pe5hd90n0e7l5st
Current NFT ID #168350 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
168350
Accession (UniProt):
Q7ZXQ3
Name::
Homocysteine-responsive endoplasmic reticulum-resident ubiquitin-like domain member 2 protein
Experimental Method:
Predicted structure
Sequence source:
XENOPUS LAEVIS

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 Q7ZXQ3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7ZXQ3|HERP2_XENLA Homocysteine-responsive endoplasmic reticulum-resident ubiquitin-like domain member 2 protein OS=Xenopus laevis OX=8355 GN=herpud2 PE=2 SV=1 MTCQPVMDCPVTLVIKAPNQKYDDQTINCFLDWTVEKLKSHLSKVYPSKPSAKDQRLVYSGKLLLDHLLLKDVLRKQDEYHMVHLVCASRTPPSSPKASKSSKSMGTSSSGRSSSSGSANPGSTSQDTSSTYPDPRPGESIRHRHTPLMYNNLVHSHPYSYLRQEYALNPPPGQEAPSIFPAYSAFTPLQMMWWQQLYARQYYIYSQATASNQSTSNGENAQPVPRPVTNSENPPPNPPRAPPNVAPEINPNIQMNAQGGPVMNEEDINRDWLDWIYTVSRAAILLSIVYFYSSFSRFVMVMGALILVYMHQAGWFPLLQDEGQQHPGDNAAEVNPDLVNNNDPQELERRMDDGLQEVHNNDAGVNVVARQGVLASAWSFITTFFTSLIPEGPPQGVN