Cherqaoui Driss - Profil du chercheur

Informations du chercheur

Nom complet

Cherqaoui Driss

Grade

PES

Spécialité

Chimie organique

Thématique de recherche

Synthèse organique et modélisation moléculaire

Laboratoire

Laboratoire de Chimie Moléculaire

Établissement

Faculté des Sciences Semlalia Marrakech

Ouvrages (0 au total)

Aucun ouvrage disponible.

Projets (1 au total)

Modélisation moléculaire : Contribution à la conception d’inhibiteurs du VIH

Type: Non spécifié

Début: 01/01/2017

Fin: 30/12/2018

Organisme financeur:

Agence Universitaire de la Francophonie” and the Scientific Research Fund of Bulgaria. under project DNTS/FrPh01/1.

Publications (29 au total)

In silico design and analysis of NS4B inhibitors against hepatitis C virus

Auteur: Ismail Hdoufane, Imane Bjij, Mehdi Oubahmane, Mahmoud E.S Soliman, Didier Villemin, Driss Cherqaoui

Revue: Journal of Biomolecular Structure and Dynamics

Année: 2022

DOI: 10.1080/07391102.2020.1839561

Monte Carlo Method and GA-MLR-Based QSAR Modeling of NS5A Inhibitors against the Hepatitis C Virus

Auteur: Wissal Liman, Mehdi Oubahmane, Ismail Hdoufane, Imane Bjij, Didier Villemin, Rachid Daoud, Driss Cherqaoui, Achraf El Allali

Revue: Molecules

Année: 2022

DOI: 10.3390/molecules27092729

Host Cell Proteases Mediating SARS-CoV-2 Entry: An Overview

Auteur: Driss Cherqaoui, Mehdi Oubahmane, Ismail Hdoufane, Imane Bjij, Nouhaila Ait Lahcen, Didier Villemin, Rachid Daoud, Achraf El Allali

Revue: Current Topics in Medicinal Chemistry

Année: 2022

DOI: 10.2174/1568026622666220726122339

Hybrid Molecules as Potential Drugs for the Treatment of HIV: Design and Applications

Auteur: Wissal Liman, Nouhaila Ait Lahcen, Mehdi Oubahmane, Ismail Hdoufane, Driss Cherqaoui, Rachid Daoud, Achraf El Allali

Revue: Pharmaceuticals

Année: 2022

DOI: 1092 10.3390/ph15091092

Development of QSAR Models Using Singular Value Decomposition Method: A Case Study for Predicting Anti-HIV-1 and Anti-HCV Biological Activities

Auteur: Ismail Hdoufane, Daoud Ounaissi, Azzouz Dermoune, Driss Cherqaoui

Revue: Biointerface Research in Applied Chemistry

Année: 2022

DOI: 10.33263/BRIAC123.30903105

Targeting Protein Degradation in Cancer Treatment

Auteur: Imane Bjij, Ismail Hdoufane, Mahmoud Soliman, Menče Najdoska-Bogdanov, Driss Cherqaoui

Revue: Current Chemical Biology

Année: 2021

DOI: 10.2174/2212796814999200609131623

COVID-19: In silico identification of potent α-ketoamide inhibitors targeting the main protease of the SARS-CoV-2

Auteur: Mehdi Oubahmane, Ismail Hdoufane, Imane Bjij, Carola Jerves, Didier Villemin, Driss Cherqaoui

Revue: Journal of Molecular Structure

Année: 2021

DOI: 10.1016/j.molstruc.2021.130897

Di-μ-oxidovanadium(V) di-nuclear complexes: Synthesis, X-ray, DFT modeling, Hirshfeld surface analysis and antioxidant activity

Auteur: Ali Hasnaoui, Ismail Hdoufane, Abderrahim Alahyane, Abdallah Nayad, Driss Cherqaoui, Mustapha Ait Ali, Larbi El Firdoussi

Revue: Inorganica Chimica Acta

Année: 2020

DOI: 10.1016/j.ica.2019.119276

Synthesis of diverse isoxazolylamino-2-(aryl)acetamides using one-pot Multicomponent Reactions: X-ray, Hirshfeld analysis and DFT modeling

Auteur: Mohammed Loubidi, Jabrane Jouha, Ismail Hdoufane, Mohamed El Hafi, Zahira Tber, Driss Cherqaoui, Joel T. Mague

Revue: Journal of Molecular Structure

Année: 2020

DOI: 10.1016/j.molstruc.2019.127178

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Communications (22 au total)

Molecular docking study of HIV-1 attachment inhibitors

Manifestation: The XI European Workshop in Drug Design

Date: 2017-05-21

Organisation: Certosa di pontignano, Siena, Italy

Molecular modeling: Application of Support Vector Machines and Decision Trees for anti-HIV activity prediction of organic compounds

Manifestation: International Conference on Multimedia Computing and systems

Date: 2016-09-29

Organisation: Marrakech (Morocco)

Molecular Docking of HIV inhibitors

Manifestation: 6th International Meeting on Chemometrics, Quality and Molecular Chemistry

Date: 2016-04-21

Organisation: Beni Mellal- (Morocco)

Intelligence artificielle et métrologie: construction et validation d’un modèle de prédiction

Manifestation: 6th International Conference of Metrology in Africa

Date: 2016-03-21

Organisation: Dakar (Senegal)

« Précédent 1 2 3

Thèses (3 au total)

In Silico Drug Design of Potent SARS-CoV-2 Inhibitors

Auteur: Mehdi OUBAHMANE

Directeur: Cherqaoui Driss

Soutenance: 2023

Molecular Modeling: QSAR Studies on Reverse Transcriptase and Gp120 HIV-1 and NS4B HCV Inhibitors

Auteur: HDOUFANE Ismail

Directeur: Cherqaoui Driss

Soutenance: 2021

Targeting Protein Degradation as a Potential and Emerging Therapeutic Approach in Cancer Drug Discovery: Combinatorial In Silico Modeling to Explore the Covalent & Non-covalent Inhibition of Nedd4-1 E3 Ubiquitin Ligase

Auteur: BJIJ Imane

Directeur: Cherqaoui Driss

Soutenance: 2019

Informations du chercheur

Nom complet

Grade

Spécialité

Thématique de recherche

Laboratoire

Établissement

Ouvrages (0 au total)

Projets (1 au total)

Mod&eacute;lisation mol&eacute;culaire : Contribution &agrave; la conception d&rsquo;inhibiteurs du VIH

Publications (29 au total)

In silico design and analysis of NS4B inhibitors against hepatitis C virus

Monte Carlo Method and GA-MLR-Based QSAR Modeling of NS5A Inhibitors against the Hepatitis C Virus

Host Cell Proteases Mediating SARS-CoV-2 Entry: An Overview

Hybrid Molecules as Potential Drugs for the Treatment of HIV: Design and Applications

Development of QSAR Models Using Singular Value Decomposition Method: A Case Study for Predicting Anti-HIV-1 and Anti-HCV Biological Activities

Targeting Protein Degradation in Cancer Treatment

COVID-19: In silico identification of potent &alpha;-ketoamide inhibitors targeting the main protease of the SARS-CoV-2

Di-&mu;-oxidovanadium(V) di-nuclear complexes: Synthesis, X-ray, DFT modeling, Hirshfeld surface analysis and antioxidant activity

Synthesis of diverse isoxazolylamino-2-(aryl)acetamides using one-pot Multicomponent Reactions: X-ray, Hirshfeld analysis and DFT modeling

Communications (22 au total)

Molecular docking study of HIV-1 attachment inhibitors

Molecular modeling: Application of Support Vector Machines and Decision Trees for anti-HIV activity prediction of organic compounds

Molecular Docking of HIV inhibitors

Intelligence artificielle et m&eacute;trologie: construction et validation d&rsquo;un mod&egrave;le de pr&eacute;diction

Thèses (3 au total)

In Silico Drug Design of Potent SARS-CoV-2 Inhibitors

Molecular Modeling: QSAR Studies on Reverse Transcriptase and Gp120 HIV-1 and NS4B HCV Inhibitors

Targeting Protein Degradation as a Potential and Emerging Therapeutic Approach in Cancer Drug Discovery: Combinatorial In Silico Modeling to Explore the Covalent &amp; Non-covalent Inhibition of Nedd4-1 E3 Ubiquitin Ligase

Modélisation moléculaire : Contribution à la conception d’inhibiteurs du VIH

COVID-19: In silico identification of potent α-ketoamide inhibitors targeting the main protease of the SARS-CoV-2

Di-μ-oxidovanadium(V) di-nuclear complexes: Synthesis, X-ray, DFT modeling, Hirshfeld surface analysis and antioxidant activity

Intelligence artificielle et métrologie: construction et validation d’un modèle de prédiction

Targeting Protein Degradation as a Potential and Emerging Therapeutic Approach in Cancer Drug Discovery: Combinatorial In Silico Modeling to Explore the Covalent & Non-covalent Inhibition of Nedd4-1 E3 Ubiquitin Ligase