Q98982 AF NFT

Substance-P receptor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih3md7dl4py3fk7fix47abx6vlotpb6wtrl6nql5ra2nntbufb2e4/metadata.json
IPFS of structure file: 
bafybeihiexlbvqpxd73ixm2sa664rsqh4tr5jxk7xix3llgrajp3uvvmaq/AF-Q98982-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb02891DBE541c1034C8E8358b77B32f2fDBDAb34
First NFT owner address (bech32): 
genesis1kq5frkl9g8qsxnywsdvtw7ej7t7mm2e5qzssdy
Current NFT ID #265783 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
265783
Accession (UniProt):
Q98982
Name::
Substance-P receptor
Experimental Method:
Predicted structure
Sequence source:
Lithobates catesbeianus

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 Q98982 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q98982|NK1R_LITCT Substance-P receptor OS=Lithobates catesbeianus OX=8400 GN=TACR1 PE=2 SV=1 MNSNISAQNDSALNSTIQNGTKINQFIQPPWQIALWSVAYSIIVIVSLVGNIIVMWIIIAHKRMRTVTNYFLVNLAFAEASMSAFNTVINFTYAIHNHWYYGLIYCKFHNFFPISAVFTSIYSMTAIALDRYMAIIHPLKPRLSATATKIVICVIWSFSFCMAFPLGYYADVYPMEGGDICYLNWPDSEENRKYEQVYQVLVFCLIYILPLLVIGCAYTFIGMTLWASEIPGDSSDRYHEQVVAKRKVVKMMIVVVCTFAICWLPFHIFFLLQTLHEMTQKFYQQFYLAIMWLAMSSTMYNPIIYCCLNDRFRIGFKHVFRWCPFIRAGEYEGLELKSTRYLQTQSSMYKISRIETTVSSVLNTNDEEAEENGKSSKRLSLDLTSNGSSRSVCKTMSDSSSFYSNNLA