The AKT isoforms are a group of key kinases that play a critical role in tumorigenesis. These enzymes are overexpressed in different types of cancers, such as breast, colon, prostate, ovarian, and lung. Because of its relevance the AKT isoforms are attractive targets for the design of anticancer molecules. However, it has been found that AKT1 and AKT3 isoforms have a main role in tumor progression and metastasis; thus, the identification of AKT isoforms specific inhibitors seems to be a challenge. Previously, we identified an ATP binding pocket pan-AKT inhibitor, this compound is a 2,4,6-trisubstituted pyridine (compound 11), which represents a new interesting scaffold for the developing of AKT inhibitors. Starting from the 2,4,6-trisubstituted pyridine scaffold, and guided by structure-based design technique, 42 new inhibitors were designed and further evaluated in the three AKT isoforms by multiple docking approach and molecular dynamics. Results showed that seven compounds presented binding selectivity for AKT1 and AKT3, better than for AKT2. The binding affinities of these seven compounds on AKT1 and AKT3 isoforms were mainly determined by hydrophobic contributions between the aromatic portion at position 4 of the pyridine ring with residues Phe236/234, Phe237/235, Phe438/435, and Phe442/439 in the ATP binding pocket. Results presented in this work provide an addition knowledge leading to promising selective AKT inhibitors.

Leishmanicidal drugs have many side effects, and drug resistance to all of them has been documented. Therefore, the development of new drugs and the identification of novel therapeutic targets are urgently needed. Leishmania mexicana trypanothione reductase (LmTR), a NADPH-dependent flavoprotein oxidoreductase important to thiol metabolism, is essential for parasite viability. Its absence in the mammalian host makes this enzyme an attractive target for the development of new anti-Leishmania drugs. Herein, a tridimensional model of LmTR was constructed and the molecular docking of 20 molecules from a ZINC database was performed. Five compounds (ZINC04684558, ZINC09642432, ZINC12151998, ZINC14970552, and ZINC11841871) were selected (docking scores −10.27 kcal/mol to −5.29 kcal/mol and structurally different) and evaluated against recombinant LmTR (rLmTR) and L. mexicana promastigote. Additionally, molecular dynamics simulation of LmTR-selected compound complexes was achieved. The five selected compounds inhibited rLmTR activity in the range of 32.9% to 40.1%. The binding of selected compounds to LmTR involving different hydrogen bonds with distinct residues of the molecule monomers A and B is described. Compound ZINC12151998 (docking score −10.27 kcal/mol) inhibited 32.9% the enzyme activity (100 µM) and showed the highest leishmanicidal activity (IC₅₀ = 58 µM) of all the selected compounds. It was more active than glucantime, and although its half-maximal cytotoxicity concentration (CC₅₀ = 53 µM) was higher than that of the other four compounds, it was less cytotoxic than amphotericin B. Therefore, compound ZINC12151998 provides a promising starting point for a hit-to-lead process in our search for new anti-Leishmania drugs that are more potent and less cytotoxic.

Protein tyrosine phosphatase 1B (PTP1B) dephosphorylates phosphotyrosine residues and is an important regulator of several signaling pathways, such as insulin, leptin, and the ErbB signaling network, among others. Therefore, this enzyme is considered an attractive target to design new drugs against type 2 diabetes, obesity, and cancer. To date, a wide variety of PTP1B inhibitors that have been developed by experimental and computational approaches. In this review, we summarize the achievements with respect to PTP1B inhibitors discovered by applying computer-assisted drug design methodologies (virtual screening, molecular docking, pharmacophore modeling, and quantitative structure–activity relationships (QSAR)) as the principal strategy, in cooperation with experimental approaches, covering articles published from the beginning of the century until the time this review was submitted, with a focus on studies conducted with the aim of discovering new drugs against type 2 diabetes. This review encourages the use of computational techniques and includes helpful information that increases the knowledge generated to date about PTP1B inhibition, with a positive impact on the route toward obtaining a new drug against type 2 diabetes with PTP1B as a molecular target.