Q7TQB0 AF NFT

Taste receptor type 2 member 134

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidxxsnkwke3iro3rzcr3x4kb2l4lzyofrkoabe7kzjddj52xvgnq4/metadata.json
IPFS of structure file: 
bafybeie7n3fsmjujgmiwae5uefqpelqqcexfkgmxymf252i2itwo2sh7q4/AF-Q7TQB0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x41C049aD5427907F76fA6Cdd2DB97E59526d6E41
First NFT owner address (bech32): 
genesis1g8qynt25y7g87ah6dnwjmwt7t9fx6mjpcyz7yn
Current NFT ID #472062 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
472062
Accession (UniProt):
Q7TQB0
Name::
Taste receptor type 2 member 134
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

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 Q7TQB0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7TQB0|TR134_MOUSE Taste receptor type 2 member 134 OS=Mus musculus OX=10090 GN=Tas2r134 PE=2 SV=1 MSFSHSFIFIVIFCMQSLAALLQNGFMATVLGREWVRSQGLPAGDMIMACLAASRFCLHGIAVLNNFLASAMFWTIKNYFSILWDFTNTVNFWFTTWLAIFYCVKISSFSHPIFFWIKWRISRSVPRLLLGSLIIGGLSAISSATGNTIALQMAACENYTIYYKMMAFYLYYFRCHAMLMWVIPFFLFLLSIILLMFSLYRHLEQMRYHRPRTHDYSTQAHIMALKSLAFFLIFYTSYTLLLTVSVAHVINVHGSWHWAWEVVTYMGISLHSTILILSNTKMRKALKIKFPDLCIPRS