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 (2 au total)

Approches in silico, hémi-synthèse et évaluations biologiques pour le développement de nouveaux produits anticancéreux ciblant les MMPs

Type: Non spécifié

Début: 01/07/2025

Fin: 31/07/2027

Organisme financeur:

AAP « Promotion des Projets Interdisciplinaires » _ UCA

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 (36 au total)

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

Efficient and simple synthesis of novel 1,2,3-triazolyl-linked benzimidazolone, molecular docking and evaluation of their antimicrobial activity

Auteur: Mohamed Adardour, Aziz Boutafda, Ismail Hdoufane, Abdellah Aghraz, Mohamed Hafidi, Elena Zaballos-García, Driss Cherqaoui, Abdesselam Baouid

Revue: Journal of Synthetic Communications

Année: 2020

DOI: 10.1080/00397911.2020.1803913

QSAR and molecular docking studies of indole-based analogs as HIV-1 attachment inhibitors

Auteur: Ismail Hdoufane, Joanna Stoycheva, Alia Tadjer, Didier Villemin, Menče Najdoska-Bogdanov, Jane Bogdanov, Driss Cherqaoui

Revue: Journal of Molecular Structure

Année: 2019

DOI: 10.1016/j.molstruc.2019.05.056

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Communications (61 au total)

Tracing Potential Covalent Inhibitors of an E3 Ubiquitin Ligase through Target-Focused Modelling

Manifestation: 2nd MMCS - Facing Novel Challenges in Drug Discovery

Date: 2019-05-15

Organisation: Barcelona, Spain

Molecular modeling: Application of Artificial Neural Networks, Support Vector Machines and Decision Trees for anti HIV activity prediction of organic compounds

Manifestation: 5th International Conference on Computation for Science and Technology (ICCST 2018)

Date: 2018-09-23

Organisation: Antalya Turkey

QSAR models for assessment of the potential of azaindole analogs as HIV-1 attachment inhibitors

Manifestation: 25th Congress of the Society of Chemists and Technologists of Macedonia (SCTM)

Date: 2018-09-19

Organisation: Ohrid Macedonia

Molecular docking study to understand the binding mechanism of HIV-1 attachment inhibitors

Manifestation: The 3rd Forum of scientific research

Date: 2018-05-11

Organisation: Marrakech, Morocco

Binding energy-based approaches to enhance virtual screening in drug discovery workflows

Manifestation: International Conference on Drug Discovery: Biotechnology and Pharma at Cross Roads

Date: 2018-02-15

Organisation: Patiala-India

SAR Studies for the in-silico Prediction of HIV-1 Inhibitors

Manifestation: 3rd International Electronic Conference on Medicinal Chemistry

Date: 2017-11-01

Organisation: Online

Hydrocarbures et clusters des éléments du groupe 13, Analyse énergétiques et considérations écologiques

Manifestation: International Conference on theoretical chemistry and Modeling

Date: 2017-06-15

Organisation: Kenitra, Morocco. March 15-17, (2017).

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)

« Précédent 1 2 3 4 5 Suivant »

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 (2 au total)

Approches in silico, hémi-synthèse et évaluations biologiques pour le développement de nouveaux produits anticancéreux ciblant les MMPs

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

Publications (36 au total)

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

Efficient and simple synthesis of novel 1,2,3-triazolyl-linked benzimidazolone, molecular docking and evaluation of their antimicrobial activity

QSAR and molecular docking studies of indole-based analogs as HIV-1 attachment inhibitors

Communications (61 au total)

Tracing Potential Covalent Inhibitors of an E3 Ubiquitin Ligase through Target-Focused Modelling

Molecular modeling: Application of Artificial Neural Networks, Support Vector Machines and Decision Trees for anti HIV activity prediction of organic compounds

QSAR models for assessment of the potential of azaindole analogs as HIV-1 attachment inhibitors

Molecular docking study to understand the binding mechanism of HIV-1 attachment inhibitors

Binding energy-based approaches to enhance virtual screening in drug discovery workflows

SAR Studies for the in-silico Prediction of HIV-1 Inhibitors

Hydrocarbures et clusters des &eacute;l&eacute;ments du groupe 13, Analyse &eacute;nerg&eacute;tiques et consid&eacute;rations &eacute;cologiques

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

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

Hydrocarbures et clusters des éléments du groupe 13, Analyse énergétiques et considérations écologiques

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