Q865K9 AF NFT

Membrane progestin receptor beta

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifpajzouxxmlwspslyhvgwv22fr3wjs3d7sbickxaiogmj3bpfc4i/metadata.json
IPFS of structure file: 
bafybeiaqxa5zleushwb4zrt5m4kni42cqj7txwdwhk5mavjsjm4ne4vyqi/AF-Q865K9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8C89B5B70Dc8b1670d4eEC66a50BF9eFFEEAe59E
First NFT owner address (bech32): 
genesis13jymtdcdezckwr2wa3n22zleallw4ev7pwyvn2
Current NFT ID #242358 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
242358
Accession (UniProt):
Q865K9
Name::
Membrane progestin receptor beta
Experimental Method:
Predicted structure
Sequence source:
SUS SCROFA

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 Q865K9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q865K9|MPRB_PIG Membrane progestin receptor beta OS=Sus scrofa OX=9823 GN=PAQR8 PE=2 SV=1 MTTAILQRLSTLSVSGQHLRRLPKILEDGLPKMPGTVPETDVPQLFREPYIRAGYRPIGHEWRYYFFSLFQKHNEVVNVWTHLLAALAVLLRFWAFVETEGLPWTSAHTLPLLLYVLSSITYLTFSLLAHLLQSKSELSHYTFYFVDYVGVSVYQYGSALVHFFYASDQAWYERFWLFFLPAAAFCGWLSCTGCCYAKYRYRRPYPVMRKVCQVVPAGLAFILDISPVAHRVALCHLSGCQEQAAWYHTLQIVFFLVSAYFFSCPVPEKYFPGSCDIVGHGHQIFHAFLSICTLSQLEAILLDYKGRQEIFLHRHSPLSIYAACLSFFFLVACSGATAALLREKIKARLSKKDS