Q7ZWG9 AF NFT

Sigma non-opioid intracellular receptor 1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigpusk5on36ralfjpeqbz3itjwdizlima5rvi6l2yusxljxc6g7eu/metadata.json
IPFS of structure file: 
bafybeiciesgowar7ajsfva6vparvl3tamdfieql3kbeopfklf357sssdc4/AF-Q7ZWG9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1750d06F03619226d6FA3e3b09942c6c783d2E4b
First NFT owner address (bech32): 
genesis1zagdqmcrvxfzd4h68casn9pvd3ur6tjthntl8u
Current NFT ID #427811 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
427811
Accession (UniProt):
Q7ZWG9
Name::
Sigma non-opioid intracellular receptor 1
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 Q7ZWG9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7ZWG9|SGMR1_DANRE Sigma non-opioid intracellular receptor 1 OS=Danio rerio OX=7955 GN=sigmar1 PE=2 SV=1 MSLIRTILKLVVVVGFLSLTVQFIRHWMANKQYVFTKEEVAKLAKQYAGQDHEQAFSKVVVELRRRYPGHILPDEDLQWVFVNAGGWMGSMCLLHASLTEYVLLFGTAVDTGGHSGRYWAEISDTIISGTFRQWKEGTTKSETYYPGDTIVHSAGEATSVQWSSGTWMVEYGRGFIPSTLGFALADTMFSTQDFLTLFYTARVYVKGMILEASTFLTESGVL