Q95171 AF NFT

Estrogen receptor beta

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiat45hwlljrmwjoyrkcjrn2tvbmshtyxsuf6rktxxzrefnabvb2em/metadata.json
IPFS of structure file: 
bafybeifbpp7gtn3kll3rs7vpu2yvh7dbhr6qpe2ql7nbnmxt7ea532y2he/AF-Q95171-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x2673E35d1eBb5FE7Ac6B31bB91f6c1aB3ccD3527
First NFT owner address (bech32): 
genesis1yee7xhg7hd070trtxxaerakp4v7v6df8r867fy
Current NFT ID #120662 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
120662
Accession (UniProt):
Q95171
Name::
Estrogen receptor beta
Experimental Method:
Predicted structure
Sequence source:
CALLITHRIX JACCHUS

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 Q95171 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q95171|ESR2_CALJA Estrogen receptor beta OS=Callithrix jacchus OX=9483 GN=ESR2 PE=2 SV=2 MDIKNSPSSLNSPSSYNFGQSILPLEHGPIYIPSSYVESHHEYPAMTFYSPAVMNYSIPSSVTNLEEGPGRQITSPNMLWSTPGHLSPLAVHHQLSHLYAEPQKSPWCEARSLEHTLPVSRETLKRKVSGNHCASPVTGPSSKRDAHFCAVCSDYASGYHYGVWSCEGCKAFFKRSIQGHNDYICPATNQCTIDKNRRKSCQACRLRKCYEVGMVKCGSRRERCGYRLVRRQGNAEEQLHCAGKAKRSGGHVPRVRELLLSALSPEQLVLTLLEAEPPHVLISRPSVPFTEASMMMSLTKLADEELVHMISWAKKIPGFVELSLLDQVRLLESCWLEVLMVGLMWRSIDHPGKLIFAPNLILDRDEGKCVEGILEVFDMLLATTSRFRELKLQHKEYLCVKAMVLLNSQYDPLVTATQDAESSQKLAHLLNAVTDALVWVIAKSGFSSQQQSVRLANLLMLLSHIRHASNKGMEHLLSMKCKNVVPVYDLLLEMMNAHVVRGCKSSITGSECSPAEDSKSTEGSQNPQSP