Q5Y4Y9 AF NFT

Taste receptor type 2 member 64

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif57q4ua4sichgjdgjnbzf5o7yt32y5aotgom6koapnrqbyo3l2mi/metadata.json
IPFS of structure file: 
bafybeibeb7ure4va2yajla4qwfoq3vwfif6zyuf2ol2ipgxezicrmfdgyq/AF-Q5Y4Y9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x206E461b06c416cC6058027b28EcB722207C63a9
First NFT owner address (bech32): 
genesis1yphyvxcxcstvcczcqfaj3m9hygs8ccafckvpdj
Current NFT ID #456520 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
456520
Accession (UniProt):
Q5Y4Y9
Name::
Taste receptor type 2 member 64
Experimental Method:
Predicted structure
Sequence source:
Pan paniscus

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 Q5Y4Y9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5Y4Y9|T2R64_PANPA Taste receptor type 2 member 64 OS=Pan paniscus OX=9597 GN=TAS2R64 PE=3 SV=1 MVYFLLIILSILVVFAFVLGNFSNGFVALVNVIDWVKTRKISSADQILTALVVSRIGLLWVILFHWYANVFNSALYSSEVGAVASNISAIINHFSIWLAASLGIFYLLKIANFSNLIFLHLKKRIRSVVLVILLGPLVFLICNLAVITMDERVWTKEYEGNVTWKIKLRNAIHLSDLTVSTLANLIPFILTLICFLLLICSLHKHLKKMQLHGKGSQDLSTKVHIKALQTVISFLMLYAIYFLYLITLTWNLWTQQNKLVFLLCQTLGIMYPSFHSFFLIMGSRKLKQTFLSVLCQVTCLVKGQQPSTP