Q9MYW9 AF NFT

Mu-type opioid receptor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeia6qtjxaei3xo6dboi5ctz7oibjsxosfcmliua736x4puqhcfpphq/metadata.json
IPFS of structure file: 
bafybeibnlwld3thzw5mphhbcvxaciryrjnwybdcxfmojkl6witp7s2clzu/AF-Q9MYW9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x35cE46a4a30196447966Bd34E1e090Eb6D1bAd3f
First NFT owner address (bech32): 
genesis1xh8ydf9rqxtyg7txh56wrcysadk3htflk6s798
Current NFT ID #281877 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
281877
Accession (UniProt):
Q9MYW9
Name::
Mu-type opioid receptor
Experimental Method:
Predicted structure
Sequence source:
MACACA MULATTA

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 Q9MYW9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9MYW9|OPRM_MACMU Mu-type opioid receptor OS=Macaca mulatta OX=9544 GN=OPRM1 PE=2 SV=2 MDSSAVPTNASNCTDALAHSSCSPARSPGSWVNLSHLDGNLSDPCGPNRTDLGGRDSLCPPTGSPSMITAITIMALYSIVCVVGLFGNFLVMYVIVRYTKMKTATNIYIFNLALADALVTSTLPFQSVNYLMGTWPFGTILCKIVISIDYYNMSTSIFTLCTMSVDRYIAVCHPVKALDFRTPRNAKIINVCNWILSSAIGLPVMFMATTKYRQGSIDCTLTFSHPSWYWENLLKICVFIFAFIMPVLIITVCYGLMILRLKSVRMLSGSKEKDRNLRRITRMVLVVVAVFIICWTPIHIYVIIKALVTIPETTFQTVSWHFCIALGYTNSCLNPVLYAFLDEDFKRCFREFCIPTSSNIEQQNSTRIRQNTRDHPSTANTVDRTNHQLENLEAETAPLP