Q7M723 AF NFT

Taste receptor type 2 member 104

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidrj3w2awdb7epfgik43h67yafjlh4y3i6u4rflskzlgdk4hjjs4i/metadata.json
IPFS of structure file: 
bafybeidbztbfjcapyr7j272nmwwrvbbnjsqszfm5t66uw6we4leycph2r4/AF-Q7M723-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x30B952aA314C16e7020EFc11218c96015a3228B3
First NFT owner address (bech32): 
genesis1xzu49233fstwwqswlsgjrrykq9dry29nw0fnv7
Current NFT ID #472004 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
472004
Accession (UniProt):
Q7M723
Name::
Taste receptor type 2 member 104
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 Q7M723 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7M723|TR104_MOUSE Taste receptor type 2 member 104 OS=Mus musculus OX=10090 GN=Tas2r104 PE=2 SV=1 MLSALESILLSVATSEAMLGVLGNTFIVLVNYTDWVRNKKLSKINFILTGLAISRIFTIWIITLDAYTKVFLLTMLMPSSLHECMSYIWVIINHLSVWFSTSLGIFYFLKIANFSHYIFLWMKRRADKVFVFLIVFLIITWLASFPLAVKVIKDVKIYQSNTSWLIHLEKSELLINYVFANMGPISLFIVAIIACFLLTISLWRHSRQMQSIGSGFRDLNTEAHMKAMKVLIAFIILFILYFLGILIETLCLFLTNNKLLFIFGFTLSAMYPCCHSFILILTSRELKQATMRALQRLKCCET