Q80UU9 AF NFT

Membrane-associated progesterone receptor component 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie3vv4q5lnlaldznhjjjdohebufeuhe5fri43m5mszmkn5ypp3ueq/metadata.json
IPFS of structure file: 
bafybeibi2hnakdfyatafavuia4zq3mi7dwfhbtho3v2vktpqblnojnkn2u/AF-Q80UU9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb4D2d9c96b0D792d0b77e7147D724cc1F801ae58
First NFT owner address (bech32): 
genesis1knfdnjttp4uj6zmhuu286ujvc8uqrtjce36hs0
Current NFT ID #297246 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
297246
Accession (UniProt):
Q80UU9
Name::
Membrane-associated progesterone receptor component 2
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 Q80UU9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q80UU9|PGRC2_MOUSE Membrane-associated progesterone receptor component 2 OS=Mus musculus OX=10090 GN=Pgrmc2 PE=1 SV=2 MAAGDGDVKLSTLGSGGESGGDGSPGGAGATAARSSWVAALLATGGEMLLNVALVALVLLGAYRLWVRWGRRGLCSGPGAGEESPAATLPRMKKRDFSLEQLRQYDGARTPRILLAVNGKVFDVTKGSKFYGPAGPYGIFAGRDASRGLATFCLDKDALRDEYDDLSDLNAVQMESVREWEMQFKEKYDYVGRLLKPGEEPSEYTDEEDTKDHSKQD