Q00589 AF NFT

Sodium- and chloride-dependent taurine transporter

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeia247vmjhctuchba4xm2ja4jftc37zxe4oq44m5wwsunoqjsqqbx4/metadata.json
IPFS of structure file: 
bafybeibtkjnlwnm6uzehtxs6ut7aibip45knpaakjrggyrliwt6dluv3li/AF-Q00589-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8BCf7F9aD1d31a7dae90D9C5756CAF8f8aCfA15B
First NFT owner address (bech32): 
genesis1308hlxk36vd8mt5sm8zh2m90379vlg2m5lrmy9
Current NFT ID #421072 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
421072
Accession (UniProt):
Q00589
Name::
Sodium- and chloride-dependent taurine transporter
Experimental Method:
Predicted structure
Sequence source:
CANIS LUPUS FAMILIARIS

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 Q00589 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q00589|SC6A6_CANLF Sodium- and chloride-dependent taurine transporter OS=Canis lupus familiaris OX=9615 GN=SLC6A6 PE=1 SV=2 MATKEKLQCLKDFHKDILKPSPGKSPGTRPEDEAEGKPPQREKWSSKIDFVLSVAGGFVGLGNVWRFPYLCYKNGGGAFLIPYFIFLFGGGLPVFFLEVIIGQYTSEGGITCWEKICPLFSGIGYASIVIVSLLNIYYVIILAWATYYLFQSFQSELPWAHCNHSWNTPQCMEDTMRKNKSLWITLSTKNFTSPVTEFWERNVLSLSSGIDDPGSLKWDLALCLLLVWLVCFFCIWKGVKSTGKVVYFTATFPFAMLLVLLVRGLTLPGAGAGIKFYLYPDISRLEDPQVWIDAGTQIFFSYAICLGAMTSLGSYNKYKYNSYRDCMLLGCLNSGTSFVSGFAIFSILGFMAQEQGVDIADVAESGPGLAFIAYPKAVTMMPLPTFWSILFFIMLLLLGLDSQFVEVEGQVTSLVDLYPSFLRKGFRREIFIAFMCSISYLLGLSMVTEGGMYVFQLFDYYAASGVCLLWVAFFECFVIAWIYGSDNLYDGIEDMIGYRPGPWMKYSWAVVTPVLCVGCFIFSLVKYVPLTYNKVYVYPTWAIGLGWSLALSSMMCVPLVMVIRLCQTEGPFLVRLKYLLTPREPNRWAVEREGATPYSSRLAVNGALMKPTHIIVETMM