Q9DCU0 AF NFT

Membrane progestin receptor gamma

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiflue5q6gycqp2lxnwjvrxnwkg2yujqz7ffx3mhl7v532u35vyjzi/metadata.json
IPFS of structure file: 
bafybeieyhc5vzsmk7b2inqzumtrretc34esifc7nlqm52lgmw4bq3iswka/AF-Q9DCU0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xD6405a3FdE14968240b76e4f9AE6d0CA1919f533
First NFT owner address (bech32): 
genesis16eq95077zjtgys9hde8e4eksegv3nafnptnw3l
Current NFT ID #288283 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
288283
Accession (UniProt):
Q9DCU0
Name::
Membrane progestin receptor gamma
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

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 Q9DCU0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9DCU0|PAQR5_MOUSE Membrane progestin receptor gamma OS=Mus musculus OX=10090 GN=Paqr5 PE=2 SV=1 MLSLKLPRLFRIDQVPQVFHEQGILFGYRHPQSSATACILSLFQMTNETLNIWTHLLPFWFFVWRFMTALYVTDIQNDSYSWPMLVYMCTSCVYPLASSCAHTFSSMSKNARHICYFLDYGAVNLFSLGSAIAYSAYTFPDALVCSTFHECYVALAVLNTILSTGLSCYSRFLELQKPRLCKLLRVLAFAYPYTWDSLPIFYRLFLFPGESSRNEAMLYHQKHMGMTLLASFFYSAHLPERLAPGRFDYIGHSHQLFHVCVILATHLQMEAILLDKTLRREWLLATSRPFSFPQIAAAMLLCIIFSLSNIIYFSAALYRIPEPELHEKET