Q801G2 AF NFT

Membrane progestin receptor alpha-B

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih7t7vgnp3sgccovz3lxhnjyrihah7ds5e332fghlfjnw7hsmiucq/metadata.json
IPFS of structure file: 
bafybeiaxckuw55n6s6q5b44zw7ckltp5abznjzvyblglx54ijuyzhbfz7m/AF-Q801G2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xB74A3a10Bdfe3C1226B2CF28959A9C5F69dc531D
First NFT owner address (bech32): 
genesis1ka9r5y9alc7pyf4jeu5ftx5uta5ac5ca6z4k6m
Current NFT ID #242325 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
242325
Accession (UniProt):
Q801G2
Name::
Membrane progestin receptor alpha-B
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 Q801G2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q801G2|MPRAB_DANRE Membrane progestin receptor alpha-B OS=Danio rerio OX=7955 GN=paqr7b PE=1 SV=1 MATVVMEQIGRLFINAQQLRQIPRFLESAFPKLPCTVMVSDVPWVFRESHIITGYRPPDQNWRYYFLTLFQRHNESVNVWTHLLASLIILVKFQELSETVDFLRDPHAQPMFILLLAAFTYLGCSALAHLLSAKSEISHYTFYFLDYVGVAVYQYGSALAHFYYVVEEEWHAQVRTFFLPASAFLAWLSCTGCCYGKYASPKLPKFVHKLFQVVPSGLAYCLDISPVLHRIYRCYSSEHWCADQAVVYHCYQVLFFLISAYFFSYPHPERWFPGRCDFIGQGHQIFHVFLVLCTLVQIEAVRLDYTERRRLYEHLHGDLAHDAVALFIFTACCSALTAFYVRKRVKTYLEEKQE