O18531 AF NFT

Ecdysone receptor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifex4prx43p6zg7waehysleg5odgargticasu4ixibrhhnxht5bou/metadata.json
IPFS of structure file: 
bafybeic2vu5j3xgqqomjj3xbpaogmpnqjqft57nvkj2iwxez5ms4r5swmi/AF-O18531-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xeE934C3A4c07a821E9b8c1A7Af05E3888c957ce8
First NFT owner address (bech32): 
genesis1a6f5cwjvq75zr6dccxn67p0r3zxf2l8gh7xlnh
Current NFT ID #110136 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
110136
Accession (UniProt):
O18531
Name::
Ecdysone receptor
Experimental Method:
Predicted structure
Sequence source:
LUCILIA CUPRINA

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 O18531 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O18531|ECR_LUCCU Ecdysone receptor OS=Lucilia cuprina OX=7375 GN=EcR PE=2 SV=2 MMKRRWSNNGGFAALKMLEESSSEVTSSSNGLVLSSDINMSPSSLDSPVYGDQEMWLCNDSASYNNSHQHSVITSLQGCTSSLPAQTTIIPLSALPNSNNASLNNQNQNYQNGNSMNTNLSVNTNNSVGGGGGGGGVPGMTSLNGLGGGGGSQVNNHNHSHNHLHHNSNSNHSNSSSHHTNGHMGIGGGGGGLSVNINGPNIVSNAQQLNSLQASQNGQVIHANIGIHSIISNGLNHHHHHHMNNSSMMHHTPRSESANSISSGRDDLSPSSSLNGFSTSDASDVKKIKKGPAPRLQEELCLVCGDRASGYHYNALTCEGCKGFFRRSVTKNAVYCCKFGHACEMDMYMRRKCQECRLKKCLAVGMRPECVVPENQCAMKRREKKAQKEKDKIQTSVCATEIKKEILDLMTCEPPSHPTCPLLPEDILAKCQARNIPPLSYNQLAVIYKLIWYQDGYEQPSEEDLKRIMSSPDENESQHDASFRHITEITILTVQLIVEFAKGLPAFTKIPQEDQITLLKACSSEVMMLRMARRYDHNSDSIFFANNRSYTRDSYKMAGMADNIEDLLHFCRQMYSMKVDNVEYALLTAIVIFSDRPGLEEAELVEAIQSYYIDTLRIYILNRHCGDPMSLVFFAKLLSILTELRTLGNQNAEMCFSLKLKNRKLPKFLEEIWDVHAIPPSVQSHIQATQAEKAAQEAQATTSAISAAATSSSSINTSMATSSSSSLSPSAASTPNGGAVDYVGTDMSMSLVQSDNA