Q646D2 AF NFT

Taste receptor type 2 member 3

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib6cfppgvl53qllt37n5net4visllrotgaigrapxnh5dr5f7tzv5q/metadata.json
IPFS of structure file: 
bafybeieidhxpkod5ruouazo32gbk77ounywpespukfhmnhlh3uk45ewpme/AF-Q646D2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb6928af8E36537c086d9ECbC974228d895800fDA
First NFT owner address (bech32): 
genesis1k6fg478rv5muppkeaj7fws3gmz2cqr76m0klse
Current NFT ID #456702 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
456702
Accession (UniProt):
Q646D2
Name::
Taste receptor type 2 member 3
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 Q646D2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q646D2|TA2R3_PANPA Taste receptor type 2 member 3 OS=Pan paniscus OX=9597 GN=TAS2R3 PE=3 SV=1 MGLTEGVFLILSGTQFTLGILVNCFIELVNGSSWFKTKRMSLSDFIITTLALLRIILLCIILTDSFLIEFSPNTHDSGIIMQIIDVSWTFTNHLSIWLATCLGVLYCLKIASFSHPTFLWLKWRVSRVMVWMLLGALLLSCGSTASLINEFKLYSVFRGIEATRNVTEHFRKKRSEYYLIHVLGTLWYLPPLIVSLASYSLLIFSLGRHTRQMLQNGTSSRDPTTEAHKRAIRIILSFFFLFLLYFLAFLIASFGNFLPKTKMAKMIGEVMTMFYPAGHSFILILGNSKLKQTFVVMLRCESGHLKPGSKGPIFS