Q9PVE4 AF NFT

Thyroid hormone receptor beta

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidv6iqcnzlmibsnpkhcf6lpxjoib6r7rcwhfuooabgyixrqm3ytse/metadata.json
IPFS of structure file: 
bafybeib6wyqkivdvdjfw7bf54iectqi2kv3vialkk3pddeapw3f46y2qmu/AF-Q9PVE4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5BeA89782341f98147F2D811B063F91F0aE7D7bF
First NFT owner address (bech32): 
genesis1t04gj7prg8ucz3ljmqgmqcleru9w04al6k7v50
Current NFT ID #462642 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
462642
Accession (UniProt):
Q9PVE4
Name::
Thyroid hormone receptor beta
Experimental Method:
Predicted structure
Sequence source:
DANIO RERIO

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 Q9PVE4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9PVE4|THB_DANRE Thyroid hormone receptor beta OS=Danio rerio OX=7955 GN=thrb PE=1 SV=2 MSEQADKCNSRWKDEAMQNGYIPSYLDKDELCVVCGDKATGYHYRCITCEGCKGFFRRTIQKNLNPTYACKYEGKCVIDKVTRNQCQECRFKKCIAVGMATDLVLDDSKRLAKRKLIEENRERRRREELQKTVWDRPEPTQEEWEMIRVVTEAHMATNAQGNHWKQKRKFLSAVGVKEAKPEDIGSAPIVNAPEGNKVDIEAFSQFTKIITPAITRVVDFAKKLPMFCELPCEDQIILLKGCCMEIMSLRAAVRYDPESDTLTLNGEMAVTRGQLKNGGLGVVSDAIFDLGVSLSSFNLDDSEVALLQAVILLSSDRPGLTSVERIERCQEEFLLAFEHYINYRKHKVAHFWPKLLMKVTDLRMIGACHASRFLHMKVECPTELFPPLFLEVFED