Q9IAK1 AF NFT

Estrogen receptor beta

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeia7pvd46ue2fyo5woi3qwactvfujlboeudsghopsimdiksspgf3hm/metadata.json
IPFS of structure file: 
bafybeigsjxshf7yybpug72cgeftkj75r3w7iiyajnegrndq2yxienpo2rm/AF-Q9IAK1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5881B09f2D8e743400698633641fc1cD2Ed2BE6F
First NFT owner address (bech32): 
genesis1tzqmp8ed3e6rgqrfscekg87pe5hd90n0e7l5st
Current NFT ID #120666 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
120666
Accession (UniProt):
Q9IAK1
Name::
Estrogen receptor beta
Experimental Method:
Predicted structure
Sequence source:
ICTALURUS PUNCTATUS

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 Q9IAK1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9IAK1|ESR2_ICTPU Estrogen receptor beta OS=Ictalurus punctatus OX=7998 GN=esr2 PE=2 SV=1 MSSSLSPTLQTVNGMDQDEPLPLFPSHYPTALGVDRGTVCIPSPYADNGHAEMSFCGPSAPENPAIAPPLSPSLFWSSHNPHAMPALPLHCPPALPYSEPHIHTAWVDTKPHTSGRHSSFLSRPKLFGKRPEDGDGDEALDDDDPSSSSSGAVVKRDMHFCVVCHDYASGYHYGVWSCEGCKAFFKRSIQGHNDYICPATNQCTIDKNRRKSCQACRLRKCYEMGMMKCGARRERCGYRASRRTAPMRDGSARPVGVRGQSQRLPHTPLHVSLSIPVSRASAESGFSGLSPEQLVYCILEAEPPQIYLKQQMKKPYTESTVMMSLTQLADKELVLMISWAKKIPGFVELSLAHQVQLLECCWLEVLMLGLMWRSIDHPGKLIFSLDLKLNRDEGNCVEGIMEIFDMLLAGSSRFRELKLQKEEYVCLKALILLNSSMYMTSSACEKDLESRTKLLRLLDAVTDALVWAISRTGLSTQQQSARLAHLLMLLSHIRHLSNKGMEHLSSMKRKNVVLLYDLLLEMLDANMAQSRHVSTSVCTDPVTPATSPNTPLPPQLHSPVAHHVTQVNESQCSQE