Q9YH32 AF NFT

Estrogen receptor beta

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibikmwlx2rf4n4zwwsi4b43j52spyocvwxujgwtwomvthouqq3e24/metadata.json
IPFS of structure file: 
bafybeifple6vjaduooyallk5unrwt3kwpvq3dlpvklwik6uvzl5fahhod4/AF-Q9YH32-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x756bFDb0226Aa720bF009aFD5c0C76F6dFE0Cc9D
First NFT owner address (bech32): 
genesis1w44lmvpzd2njp0cqnt74crrk7m07pnyalxjrqd
Current NFT ID #120671 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
120671
Accession (UniProt):
Q9YH32
Name::
Estrogen receptor beta
Experimental Method:
Predicted structure
Sequence source:
OREOCHROMIS NILOTICUS

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 Q9YH32 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9YH32|ESR2_ORENI Estrogen receptor beta OS=Oreochromis niloticus OX=8128 GN=esr2 PE=2 SV=1 MMAAASSPEKLLQLQEVDSSRAGSRILSPILGSSSPGLSHETSQPICIRSPYTDLGHDFTTIPFYSPTIFSYGGPSISECSSVHQSLSASLFWPSHGRVGTPITLHCPQGRSQQGQSAQTPWDSVITTSKSVRRRSQESEESMVSSGGKADLHYCAVCHDYASGYHYGVWSCEGCKAFFKRSIQGHNDYICPATNQCTIDKNRRKSCQACRLRKCYEVGMTKCGIRKERGNYRNSQARRLTRLSSQGKTAEPKGITGPAEGSLNKPEKPALTPEQLIERILEAEPPEIYLVKDAKRPLTEASVMMLLTNLADKELVHMISWAKKIPGFVELSLVDQVHLLECCWLEVLMIGLMWRSVDHPGKLIFCPDLSLSREEGSCVQGFVEIFDMLIAATTRVRELKLQREEYVCLKAMILLNSNMCLSSSDCSEDLQSRSKLLRLLDAMTDALVLAIGKTGLTFRQQYTRLAHLLMLLSHIRHVSNKGMDHLHCMKMKNIVPLYDLLLEMLDAHIMHSSCLPHQPPQQDSKDQSEVPAPLHSSAGGPSNTWTPSSARAGGESQ