Search results for "docking"
showing 10 items of 299 documents
Ferrocene-functionalized anilines as potent anticancer and antidiabetic agents: Synthesis, spectroscopic elucidation, and DFT calculations
2022
Abstract Ferrocene derivatives have attracted significant interest as potent biological agents and novel drug candidates. Hence, the present research work was focused on the synthesis and characterization of ferrocene-integrated anilines (FB1-FB4) through different spectroscopic techniques such as: FT-IR, multinuclear (1H and 13C) NMR, Raman, atomic absorption spectroscopy, elemental analysis, and single-crystal X-ray crystallography. The crystallographic analysis revealed a supramolecular structure mediated by secondary non-covalent interactions (π—H and π—π). These ferrocenyl derivatives demonstrated a quasi-reversible electrochemical behavior with one electron transfer from Fe(II) to Fe(…
Docking and synthesis of pyrrolopyrimidodiazepinone derivatives (PPDs) and their precursors: New scaffolds for DNA-interacting agents
2007
New classes of pyrrolopyrimidodiazepinone derivatives (PPDs) and their precursors were studied in silico for their ability to form stable complex with DNA fragment. In the docking studies two binding modes can be envisaged: groove mode and intercalating mode. In the case of the best ligands the docking studies revealed a common binding mode with the chromophore intercalated between GC base pairs whereas the side chain lies close to the minor groove. Synthetic approach to the PPD ring systems is discussed.
Progettazione e sintesi di nuovi derivati 4-chinazolinonici potenziali inibitori della diidrofolato reduttasi
2018
I chinazolinoni sono composti eterociclici azotati che, insieme alle chinazoline, rappresentano degli importanti farmacofori in possesso di un ampio spettro di proprietà biologiche tra cui quella antitumorale. Recentemente sono stati riportati in letteratura dei derivati 4-chinazolinonici in grado di inibire in vitro l’enzima diidrofolato reduttasi (DHFR) con IC50 comprese tra 0.4 e 1.0 µM [1]. Allo scopo di progettare la sintesi di nuovi potenziali inibitori della DHFR, è stato condotto uno studio di modellistica molecolare considerando tale enzima come biotarget. Tale studio ha portato alla selezione di 42 nuovi derivati 4-chinazolinonici (Figura 1). Attualmente, sono stati sintetizzati 2…
In Vitro and In Silico Studies of Two 1,4-Naphthoquinones and Their Topical Formulation in Bigels.
2021
Background: 1,4-Naphthoquinones (1,4-NQs) are secondary plant metabolites with numerous biological activities. 1,4-NQs display low water solubility and poor bioavailability. Bigels are a new technology with great potential, which are designated as drug delivery systems. Biphasic bigels consisting of solid and liquid components represent suitable formulations improving diffusion and bioavailability of NQs into the skin. Objective: We evaluated the in silico and in vitro activity of 5,8-dihydroxy-1,4-naphthoquinone (M1) and 2,3-dichloro-5,8-dihydroxy-1,4-naphthoquinone (M2) on elastase and assessed their cytotoxicity towards COLO38 melanoma cells. The 1,4-NQs were loaded into bigels for topi…
Table of periodic properties of human immunodeficiency virus inhibitors
2010
Classification algorithms are proposed based on information entropy. The feasibility of mixing a given human immunodeficiency virus (HIV) inhibitor with dissimilar ones is studied. The 31 inhibitors are classified by their structural chemical properties. Many classification algorithms are based on information entropy. An excessive number of results appear compatible with the data and suffer combinatorial explosion. However, after the equipartition conjecture one has a selection criterion. According to this conjecture, the best configuration is that in which entropy production is most uniformly distributed. The structural elements of an inhibitor can be ranked according to their inhibitory a…
Computational Approaches: Drug Discovery and Design in Medicinal Chemistry and Bioinformatics
2021
To date, computational approaches have been recognized as a key component in drug design and discovery workflows. Developed to help researchers save time and reduce costs, several computational tools have been developed and implemented in the last twenty years. At present, they are routinely used to identify a therapeutic target, understand ligand–protein and protein–protein interactions, and identify orthosteric and allosteric binding sites, but their primary use remains the identification of hits through ligand-based and structure-based virtual screening and the optimization of lead compounds, followed by the estimation of the binding free energy. The repurposing of an old drug for the tr…
Structure‐Activity Relationships of Benzamides and Isoindolines Designed as SARS‐CoV Protease Inhibitors Effective against SARS‐CoV‐2
2020
Abstract Inhibition of coronavirus (CoV)‐encoded papain‐like cysteine proteases (PLpro) represents an attractive strategy to treat infections by these important human pathogens. Herein we report on structure‐activity relationships (SAR) of the noncovalent active‐site directed inhibitor (R)‐5‐amino‐2‐methyl‐N‐(1‐(naphthalen‐1‐yl)ethyl) benzamide (2 b), which is known to bind into the S3 and S4 pockets of the SARS‐CoV PLpro. Moreover, we report the discovery of isoindolines as a new class of potent PLpro inhibitors. The studies also provide a deeper understanding of the binding modes of this inhibitor class. Importantly, the inhibitors were also confirmed to inhibit SARS‐CoV‐2 replication in …
Dynamic-shared Pharmacophore Approach as Tool to Design New Allosteric PRC2 Inhibitors, Targeting EED Binding Pocket.
2020
Abstract: The Polycomb Repressive complex 2 (PRC2) maintains a repressive chromatin state and silences many genes, acting as methylase on histone tails. This enzyme was found overexpressed in many types of cancer. In this work, we have set up a Computer-Aided Drug Design approach based on the allosteric modulation of PRC2. In order to minimize the possible bias derived from using a single set of coordinates within the protein-ligand complex, a dynamic workflow was developed. In details, molecular dynamic was used as tool to identify the most significant ligand-protein interactions from several crystallized protein structures. The identified features were used for the creation of dynamic pha…
A Machine Learning-Based Prediction Platform for P-Glycoprotein Modulators and Its Validation by Molecular Docking
2019
P-glycoprotein (P-gp) is an important determinant of multidrug resistance (MDR) because its overexpression is associated with increased efflux of various established chemotherapy drugs in many clinically resistant and refractory tumors. This leads to insufficient therapeutic targeting of tumor populations, representing a major drawback of cancer chemotherapy. Therefore, P-gp is a target for pharmacological inhibitors to overcome MDR. In the present study, we utilized machine learning strategies to establish a model for P-gp modulators to predict whether a given compound would behave as substrate or inhibitor of P-gp. Random forest feature selection algorithm-based leave-one-out random sampl…
Reliability of Virtual Screening Methods in Prediction of PDE4Binhibitor Activity
2015
Identification of active ligands using computational methods is a challenging task. For example, molecular docking, pharmacophore modeling, and three dimensional quantitative structure-activity relationship models (3D-QSAR) are widely used methods to identify novel small molecules. However, all these methods have, in addition to advantages, also significant pitfalls. The aim of this study was to compare some commonly used computational methods to estimate their ability to separate highly active PDE4B-inhibitors from less active and inactive ones. Here, 152 molecules with pIC 50 -range of 3.4-10.5, originating from six original studies were used. High correlation coefficients by using dockin…