Q7ZVH1 AF NFT

Membrane progestin receptor gamma-A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifrgdt53i5g7o6yqurbohihc25to75nxocsoizpnt67ihhargnb6a/metadata.json
IPFS of structure file: 
bafybeierbtphmb6r4mon3o6ab5lsjyhrcuiu5p36emhzsxdwwvfxj5szay/AF-Q7ZVH1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x025f3b1a898b05AD2731bE6Ab72687b5920c4A3F
First NFT owner address (bech32): 
genesis1qf0nkx5f3vz66fe3he4twf58kkfqcj3lqjrpt3
Current NFT ID #242376 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
242376
Accession (UniProt):
Q7ZVH1
Name::
Membrane progestin receptor gamma-A
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 Q7ZVH1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7ZVH1|MPRGA_DANRE Membrane progestin receptor gamma-A OS=Danio rerio OX=7955 GN=paqr5a PE=2 SV=2 MLNLIKLPQVFTINQVPKVFHEDGIISGYRHPCSSAKDCVLSLFQLTNETLNIWTHFLPTWFFLWKLLTVVLVLEDWRDPFIWPFLVFLLSCCVYPLASSCAHTFSTMSERARHICFFFDYGALSFYSLGSAIIYSSYSFPDKWVNGTFHLNYVSIAVVNSIISTALACYSRLGLPFLEYNCHSIKRPSGKLDQKLCKCLRIIAFVYPYLFDNIPLFYRIFVCAGEGCTVNEANTVHYQHTSLAFFTGFLFATHLPERLAPGSFDYIGHSHQLFHVFAIIGTYFQMTAIELDMAARKQWLHAHLPPVTFLNTVGAAFFSVVSGLCIVYVFSLSLFSTRGVKNKSF