Q60492 AF NFT

Sigma non-opioid intracellular receptor 1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihrhn7g7y4gfvbyw5x6kormfnbrw3ystsmvui6ocebv4nkmsamyj4/metadata.json
IPFS of structure file: 
bafybeigopqdwgqa2dvva64bcyszrvbup3642jzhd247yfofzf3p2uedwcu/AF-Q60492-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xE229EdeD61EFb545DAE9B8a4f960D454031902E6
First NFT owner address (bech32): 
genesis1ug57mmtpa765tkhfhzj0jcx52sp3jqhx36sa8d
Current NFT ID #427809 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
427809
Accession (UniProt):
Q60492
Name::
Sigma non-opioid intracellular receptor 1
Experimental Method:
Predicted structure
Sequence source:
CAVIA PORCELLUS

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 Q60492 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q60492|SGMR1_CAVPO Sigma non-opioid intracellular receptor 1 OS=Cavia porcellus OX=10141 GN=SIGMAR1 PE=1 SV=1 MQWAVGRRWLWVALFLAAVAVLTQIVWLWLGTQNFVFQREEIAQLARQYAGLDHELAFSKLIVELRRLHPVHVLPDEELQWVFVNAGGWMGAMCLLHASLSEYVLLFGTALGSPRHSGRYWAEISDTIISGTFHQWREGTTKSEVFYPGETVVHGPGEATAVEWGPNTWMVEYGRGVIPSTLGFALADTVFSTQDFLTLFYTLRVYARALQLELTTYLFGQDP