Q8AYI2 AF NFT

Progesterone receptor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiafpkeo6lk7lk7n66upf5saxlg6snnxpmt56xvd6mrzch27qy6ndm/metadata.json
IPFS of structure file: 
bafybeicgnd7l3qdb6nyxij4k2vlkecuugwfzzdy5wwollezjsxgssbdupq/AF-Q8AYI2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x623e0AA2287938657C964a77A11F8Ac724f49e95
First NFT owner address (bech32): 
genesis1vglq4g3g0yux2lykffm6z8u2cuj0f8542j3a4t
Current NFT ID #308455 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
308455
Accession (UniProt):
Q8AYI2
Name::
Progesterone receptor
Experimental Method:
Predicted structure
Sequence source:
Rana dybowskii

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 Q8AYI2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8AYI2|PRGR_RANDY Progesterone receptor OS=Rana dybowskii OX=71582 GN=pgr PE=1 SV=1 MEDKSKQCLQDPMCLGIESKHYIGSHGRHQVDFLEEMVDPGEISLDSLIFQRPEDEVSYQKKGGGPASSDNNELEKVLDSILDTSSSSHLHPWDDYVIPEFQEISVTSASSTKTLGDLTTDKKEAGVWTGTTAVENKSIPSLVPKEQDTLEYSIEGQLEGKGRRHGVLASRHPTLPPDGKMPMLPGSAVYLPGQPRHIEEDNDNYDQKHLSPYPCHSSCSHHDGKIKQEDSLYAEYGMPSSNPATPGPDPSLEYICKSETAAAYDNFRSTLGKSSDKAIPVLPTSSTTSQNLYQPLSLNDHQQNAYQSGTVNDAFVPQMHLSYEQYSRPDDPDQSSQYGFDALPRKICLICSDEASGCHYGALTCGSCKVFFKRAIEGQHNYLCAGRNDCIGDKIRRKNCPSCRLKKCCQAGMVLGGRKFKKYNRLKPGRELDRIATSSPMECQQALTRRVSNSSAQEVQYFPELLQILQSIEPEVLYAGYDYTKPETPSALLCSLNQLCERQLLCVVKWSKSLPGFRNMHIDDQIILLQYSWMSLMVFAMGWRSYKHVSGQMLYFAPDLVLNERRMKDSSFYSLCIAMRQLPQEFVKLQISQEEFLCMKALLLLNTIPLEGLKSQSYFDEMRSNYIRELAKAISLRHKGVVASSQRFYHLTKVLDSMHELVKQLHLYCLNTFLQSRALSVEFPEMMTEVISAQLPKILAGMAKPLIFHKK