Search results for " pharmacophore"
showing 10 items of 21 documents
Exploring the SARS-CoV-2 Proteome in the Search of Potential Inhibitors via Structure-based Pharmacophore Modeling/Docking Approach
2020
To date, SARS-CoV-2 infectious disease, named COVID-19 by the World Health Organization (WHO) in February 2020, has caused millions of infections and hundreds of thousands of deaths. Despite the scientific community efforts, there are currently no approved therapies for treating this coronavirus infection. The process of new drug development is expensive and time-consuming, so that drug repurposing may be the ideal solution to fight the pandemic. In this paper, we selected the proteins encoded by SARS-CoV-2 and using homology modeling we identified the high-quality model of proteins. A structure-based pharmacophore modeling study was performed to identify the pharmacophore features for each…
The Molecular dYnamics SHAred PharmacophorE (MYSHAPE) approacha new tool to arise docking and pharmacophore modeling performance: virtues and vices
2017
In a recent paper, we presented a new virtual screening workflow that addresses the arising issues of molecular docking and pharmacophore modeling when using a single set of coordinates and a single active ligand [1]. MD simulations were carried out and ligand-protein interactions were analyzed and collected together with their appearance frequency. A pharmacophore model was then created using only the common feature patterns that all the ligands exhibited during MD simulations. This ‘Molecular dYnamics SHAred PharmacophorE’ was then used for virtual screening on active and inactive molecules library. MYSHAPE was also used as constraints for the creation of the docking grid. The application…
IKK-β inhibitors: An analysis of drug–receptor interaction by using Molecular Docking and Pharmacophore 3D-QSAR approaches
2010
Abstract The IKK kinases family represents a thrilling area of research because of its importance in regulating the activity of NF-kB transcription factors. The discovery of the central role played by IKK-β in the activation of transcription in response to apoptotic or inflammatory stimuli allowed to considerate its modulation as a promising tool for the treatment of chronic inflammation and cancer. To date, several IKK-β inhibitors have been discovered and tested. In this work, an analysis of the interactions between different classes of inhibitors and their biological target was performed, through the application of Molecular Docking and Pharmacophore/3D-QSAR approaches to a set of 141 in…
3D-QSAR pharmacophore modeling and in silico screening of new Bcl-xl inhibitors.
2010
Bcl-2 proteins family members play several roles in tumoral proliferation: they inhibit proapoptotic activity during oncogenesis, support tumor cells survival, induce chemoresistance. The discovery of new small inhibitors of Bcl-xl represents a new frontier for cancer treatment. In this study, a 3D-QSAR pharmacophore model was developed, based on 42 biarylacylsulfonamides, and used to understand the structural factors affecting the inhibitory potency of these derivatives. Aromatic, negative charge, and hydrogen bond acceptor effects contribute to the inhibitory activity. The model was then employed as 3D search query to screen ZINC drug-like database in order to select new scaffolds. Finall…
Molecular modelling and QSAR in the discovery of HIV-1 integrase inhibitors
2007
The treatment regimens for the HIV-1 have mainly included reverse transcriptase or protease inhibitors but their long-term clinical utility is limited by severe side effects and viral drug resistance. A new attractive target for chemotherapeutic intervention can be the Integrase enzyme, that mediates the integration of HIV-1 DNA into a host chromosome, for which there is no known counterparts in the host cell. A number of derivatives have been found to inhibit IN in in vitro assays, but no successful drug based on them has emerged so far, although many compounds have been proposed. Moreover most of the inhibitors do not belong to a very precise structural class: this fact makes these compou…
Prospective computational design and in vitro bio-analytical tests of new chemical entities as potential selective CYP17A1 lyase inhibitors
2019
[EN] The development and advancement of prostate cancer (PCa) into stage 4, where it metastasize, is a major problem mostly in elder males. The growth of PCa cells is stirred up by androgens and androgen receptor (AR). Therefore, therapeutic strategies such as blocking androgens synthesis and inhibiting AR binding have been explored in recent years. However, recently approved drugs (or in clinical phase) failed in improving the expected survival rates for this metastatic-castration resistant prostate cancer (mCRPC) patients. The selective CYP17A1 inhibition of 17,20-lyase route has emerged as a novel strategy. Such inhibition blocks the production of androgens everywhere they are found in t…
In Silico Design, Synthesis and Biological Evaluation of Anticancer Arylsulfonamide Endowed with Anti-Telomerase Activity
2022
Telomerase, a reverse transcriptase enzyme involved in DNA synthesis, has a tangible role in tumor progression. Several studies have evidenced telomerase as a promising target for developing cancer therapeutics. The main reason is due to the overexpression of telomerase in cancer cells (85–90%) compared with normal cells where it is almost unexpressed. In this paper, we used a structure-based approach to design potential inhibitors of the telomerase active site. The MYSHAPE (Molecular dYnamics SHared PharmacophorE) approach and docking were used to screen an in-house library of 126 arylsulfonamide derivatives. Promising compounds were synthesized using classical and green methods. Com…
TOWARD ENRICHED VHTS FOR CDK2 INHIBITORS: MOLECULAR DYNAMICS, PHARMACOPHORE MODELLING, AND DOCKING
2019
Cyclin-Dependent Kinases-2 (CDK2) are members of the serine/threonine protein kinases family. They play an important role in the regulation events of the eukaryotic cell division cycle, especially during the G1 to S phase transition. Experimental evidence indicates that excessive expression of CDK2s should cause abnormal cell cycle regulation. Therefore, since a long time, CDK2s have been considered potential therapeutic targets for cancer therapy. In this work, we collected one-hundred and forty-nine complexes of inhibitors bound in the CDK2-ATP pocket submitting to short MD simulations (10ns) and free energy calculation by means of MM-GBSA. The calculate ∆G values have been compared with …
A Molecular Dynamics-Shared Pharmacophore Approach to Boost Early-Enrichment Virtual Screening: A Case Study on Peroxisome Proliferator-Activated Rec…
2016
Molecular dynamics (MD) simulations can be used, prior to virtual screening, to add flexibility to proteins and study them in a dynamic way. Furthermore, the use of multiple crystal structures of the same protein containing different co-crystallized ligands can help elucidate the role of the ligand on a protein's active conformation, and then explore the most common interactions between small molecules and the receptor. In this work, we evaluated the contribution of the combined use of MD on crystal structures containing the same protein but different ligands to examine the crucial ligand-protein interactions within the complexes. The study was carried out on peroxisome proliferator-activat…
CHA on CDK2: a way to identify the best pharmacophore model for the virtual screening of new inhibitors
2018
Cyclin-dependent kinase-2 (CDK2) is a member of serine/threonine protein kinases family. It plays an important role in the regulation events of the eukaryotic cell division cycle, especially during the G1 to S phase transition. Experimental evidences indicate that excessive expression of CDK2 should cause abnormal cell cycle regulation. Therefore, CDK2 has been considered a potential therapeutic target for cancer therapy. In this work, we used a modelling approach that incorporates flexibility based on extensive MD simulations of protein−ligand complexes into structure-based pharmacophore modeling and virtual screening to identify new CDK2 inhibitors. One-hundred and forty-nine CDK2-inhibit…