2020
DOI: 10.1038/s41598-020-69908-w
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Exploring the molecular determinants for subtype-selectivity of 2-amino-1,4,5,6-tetrahydropyrimidine-5-carboxylic acid analogs as betaine/GABA transporter 1 (BGT1) substrate-inhibitors

Abstract: We have previously identified 2-amino-1,4,5,6-tetrahydropyrimidine-5-carboxylic acid (ATPCA) as the most potent substrate-inhibitor of the betaine/GABA transporter 1 (BGT1) (IC 50 2.5 µM) reported to date. Herein, we characterize the binding mode of 20 novel analogs and propose the molecular determinants driving BGT1-selectivity. A series of N 1 -, exocyclic- N -, and C 4 -substituted analogs w… Show more

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Cited by 8 publications
(15 citation statements)
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References 64 publications
(86 reference statements)
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“…The increase is especially remarkable for bicyclo-GABA approaching a potency of 40 nM. This finding is in line with previous findings, making this a consistent phenomenon among different compound classes ( Kickinger et al, 2020 ). Even though we do not understand the underlying nature of this phenomenon, we speculate that it could be related to the size of the residue (bulky glutamine/tyrosine versus small alanine).…”
Section: Discussionsupporting
confidence: 92%
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“…The increase is especially remarkable for bicyclo-GABA approaching a potency of 40 nM. This finding is in line with previous findings, making this a consistent phenomenon among different compound classes ( Kickinger et al, 2020 ). Even though we do not understand the underlying nature of this phenomenon, we speculate that it could be related to the size of the residue (bulky glutamine/tyrosine versus small alanine).…”
Section: Discussionsupporting
confidence: 92%
“…Even though we do not understand the underlying nature of this phenomenon, we speculate that it could be related to the size of the residue (bulky glutamine/tyrosine versus small alanine). However, previous MD simulations of the E52A mutant bound to the GABA analog ATPCA did not reveal additional insights into this ( Kickinger et al, 2020 ). Most likely the used homology model does not provide the necessary accuracy to draw such conclusions.…”
Section: Discussionmentioning
confidence: 93%
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