Q9IAL9 AF NFT

Estrogen receptor beta-2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic6urd4hopzytw4oncpont5nbg7tms37lfcx4xdt3n6yrm2ysn44e/metadata.json
IPFS of structure file: 
bafybeigd4cliyiohmq74x6qzb4zcxrm3aqff4xoatfll3brlq7vrveli6m/AF-Q9IAL9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xFE12884Eff419603b6dFefe423f9b5276dad6aD4
First NFT owner address (bech32): 
genesis1lcfgsnhlgxtq8dklaljz87d4yak666k5zs55ff
Current NFT ID #120655 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
120655
Accession (UniProt):
Q9IAL9
Name::
Estrogen receptor beta-2
Experimental Method:
Predicted structure
Sequence source:
CARASSIUS AURATUS

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 Q9IAL9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9IAL9|ESR22_CARAU Estrogen receptor beta-2 OS=Carassius auratus OX=7957 GN=esr2b PE=2 SV=1 MSSSTGPAPASASPVQANRGNSPNILPLLYTSQLGMDSQTICIPSPYVEACQDYSPPHGGEISHGALTLYSPVSSPVLGYTHPPVSESLVPLNSAIFWPPHPTHSTPSLHCPSPLAYRETHAHTTWEDAKTHINQSSSVLTHAKLLGQQLDGDDGLNPSPGILGKGDTHFCAVCHDYASGYHYGVWSCEGCKAFFKRSIQGHNDYICPATNQCTIDKSRRKSCQACRLRKCYEVGMMKCGVRRERCSYRGGRHRRNPPIRDSSGGAIGVRGHSQPHLEFPLSPTHPLFPLGDRAEGCGQNLSPEQLVNCILEAEPPQIYLREPIKKPYTEASMMMSLTNLADKELVLMISWAKKIPGFVELTLSDQVHLLECCWLDILMLGLMWRSVDHPGKLIFSPDLKLNRDEGTCVEGIMEIFDMLLATTSRFRELKLQREEYVCLKAMILLNSSNCSRLPQTPEDVESRGKVLRLLDSVTDALVWTISRTGLSSHQQSIRLAHLLMLLSHIRHLSNKGIEHLSTMKRKNVVLLYDLLLEMLDANTSQSSRMLAAHTKASLRMDTQQTTEILHTSKQQPALKESNQDTRHSPQAEGTVDKTLHRVDKTLHRVDVDTD