Author/Authors :
Baptista, Luiz Phillippe R Laboratory for Functional Genomics and Bioinformatics - Fiocruz, Oswaldo Cruz Institute, Rio de Janeiro, RJ, Brazil; , Sinatti, Vanessa VC Laboratory for Functional Genomics and Bioinformatics - Fiocruz, Oswaldo Cruz Institute, Rio de Janeiro, RJ, Brazil; , Silva, Joao HM Da group for Computational Modelling - Fiocruz, Oswaldo Cruz Foundation, Eusébio, CE, Brazil; , Dardenne, Laurent Emmanuel Group for Molecular Modelling of Biologic Systems - National Laboratory of Scientific Computing, Petrópolis, RJ, Brazil , Carolina Guimarães, Ana Laboratory for Functional Genomics and Bioinformatics - Fiocruz, Oswaldo Cruz Institute, Rio de Janeiro, RJ, Brazil;
Abstract :
Background: Lung cancer is the leading cause of cancer-related death worldwide. Among
its subtypes, non-small cell lung cancer (NSCLC) is the most common. Recently, the
mitochondrial isoform of the enzyme phosphoenolpyruvate carboxykinase (HsPEPCK-M)
was identified as responsible for the metabolic adaptation in the NSCLC allowing tumor
growth even under conditions of glucose deficiency. This adaptation is possible due to the
role of HsPEPCK-M in gluconeogenesis, converting the oxaloacetate to phosphoenolpyru-
vate in the presence of GTP, which plays an important role in the energetic support of these
tumors. In this context, it was shown that the inhibition or knockdown of this enzyme was
able to induce apoptosis in NSCLC under low glucose conditions.
Purpose: In this study, novel putative inhibitors were proposed for the human PEPCK-M
(HsPEPCK-M) based on a computer-aided approach.
Methods: Comparative modeling was used to generate 3D models for HsPEPCK-M.
Subsequently, the set of natural compounds of the ZINC database was screened against
HsPEPCK-M models using structure-based pharmacophore modeling and molecular docking
approaches. The selected compounds were evaluated according to its chemical diversity and
clustered based on chemical similarity.
Results: The pharmacophore hypotheses, generated based on known PEPCK inhibitors,
were able to select 7,124 candidate compounds. These compounds were submitted to
molecular docking studies using three conformations of HsPEPCK-M generated by com-
parative modeling. The aim was to select compounds with high predicted binding affinity for
at least one of the conformations of HsPEPCK-M. After molecular docking, 612 molecules
were selected as potential inhibitors of HsPEPCK-M. These compounds were clustered
according to their structural similarity. Chemical profiling and binding mode analyses of
these compounds allowed the proposal of four promising compounds: ZINC01656421,
ZINC895296, ZINC00895535 and ZINC02571340.
Conclusion: These compounds may be considered as potential candidates for HsPEPCK-M
inhibitors and may also be used as lead compounds for the development of novel HsPEPCK-
M inhibitors
Keywords :
lung cancer , PEPCK-M , virtual screening , pharmacophore modeling , molecular docking , natural products