Q5ZKN2 AF NFT

Membrane-associated progesterone receptor component 1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicexhwnclw6aadjwzz4wqjsp7lgzvqq4kldeb63pbvihbriyimvfe/metadata.json
IPFS of structure file: 
bafybeih6bd2bvvi7oryobtex7qpjoddyaru4xzbw5bdv6vnwai2lre7nhu/AF-Q5ZKN2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x576AbE9948fdf53cF041C558443887E553DF5B89
First NFT owner address (bech32): 
genesis12a4tax2glh6neuzpc4vygwy8u4fa7kuft36gue
Current NFT ID #297239 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
297239
Accession (UniProt):
Q5ZKN2
Name::
Membrane-associated progesterone receptor component 1
Experimental Method:
Predicted structure
Sequence source:
GALLUS GALLUS

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 Q5ZKN2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5ZKN2|PGRC1_CHICK Membrane-associated progesterone receptor component 1 OS=Gallus gallus OX=9031 GN=PGRMC1 PE=2 SV=3 MAAEEPAMAGEEAVATEGGGLLLEIVGSPLNLSLLGLCLFLLYQILRGERPAAQPGEAGPPPLPKMKRRDFTLEQLRPYDGVRDPRILMAVNGKVFDVTRASKFYGPDGPYGIFAGRDASRGLATFCLDKEALRDDYDDLSDLNATQQETLRDWESQFTFKYHHVGKLLKDGEEPTVYSDEEEKDAQDAKKE