Q6LG82 AF NFT

Serine/threonine transporter SstT

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigktklwauh5lvrhbzj37uz6cohli5xjiztfllzlojohua75uroh4u/metadata.json
IPFS of structure file: 
bafybeieijnjszldclaxjz6l7jmolnc4fsjnilrzskj2wde44gjh665iqwq/AF-Q6LG82-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xc17764AdED8c1b2dc79039e2AF3d99e39dE06624
First NFT owner address (bech32): 
genesis1c9mkft0d3sdjm3us883270veuww7qe3yz4e44y
Current NFT ID #438650 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
438650
Accession (UniProt):
Q6LG82
Name::
Serine/threonine transporter SstT
Experimental Method:
Predicted structure
Sequence source:
Photobacterium profundum (strain SS9)

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 Q6LG82 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6LG82|SSTT_PHOPR Serine/threonine transporter SstT OS=Photobacterium profundum (strain SS9) OX=298386 GN=sstT PE=3 SV=1 MSQTQPFLARVANGSLVIQIIVGIVAGILLASVAPESAISVGFLGGLFVSALKAVAPILVFILVASSIANQKKGAHTNMKPIIMLYLFGTLMAALTAVVMSFLFPTTLTLVAGNATASPPEGIAEVLNTLLFKIVDNPVNALMSGNFIGILAWAIALGFALHQASDATKQVFHDMSNGVTSIVRFVIRLAPIGIFGLVANTFAETGFAALAGYAHLLAVLLGSMAVIALVVNPAIVFFKTKENPYPLVFRCIRESGITAFFTRSSAANIPVNMQLCKDLDLHEDTYSVSIPLGATINMAGAAITITVLTLAAVHTMGVEVDIATAVLLSVVAAVSACGASGVAGGSLLLIPLACSLFGIPNEVAMQVVAVGFIIGVIQDSAETALNSSTDVLFTAAACKAAEAKVASPNIA