Virtual Screening of Natural Compounds as Potential PI3K-AKT1 Signaling Pathway Inhibitors and Experimental Validation

Molecules. 2021 Jan 18;26(2):492. doi: 10.3390/molecules26020492.

Abstract

A computational screening for natural compounds suitable to bind the AKT protein has been performed after the generation of a pharmacophore model based on the experimental structure of AKT1 complexed with IQO, a well-known inhibitor. The compounds resulted as being most suitable from the screening have been further investigated by molecular docking, ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) analysis and toxicity profiles. Two compounds selected at the end of the computational analysis, i.e., ZINC2429155 (also named STL1) and ZINC1447881 (also named AC1), have been tested in an experimental assay, together with IQO as a positive control and quercetin as a negative control. Only STL1 clearly inhibited AKT activation negatively modulating the PI3K/AKT pathway.

Keywords: ADMET analysis; AKT1; kinase inhibitors; molecular docking; pharmacophore model; virtual screening.

MeSH terms

  • Antineoplastic Agents / pharmacology*
  • Biological Products / pharmacology*
  • Cell Proliferation
  • Computer Simulation
  • High-Throughput Screening Assays / methods*
  • Humans
  • Leukemia, Lymphocytic, Chronic, B-Cell / drug therapy*
  • Molecular Docking Simulation
  • Phosphatidylinositol 3-Kinases / chemistry*
  • Protein Kinase Inhibitors / pharmacology*
  • Proto-Oncogene Proteins c-akt / antagonists & inhibitors*
  • Quantitative Structure-Activity Relationship
  • Tumor Cells, Cultured

Substances

  • Antineoplastic Agents
  • Biological Products
  • Protein Kinase Inhibitors
  • AKT1 protein, human
  • Proto-Oncogene Proteins c-akt