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)

Prediction of predominant configuration in enantioselective reduction of -Ketoacid derivatives with baker’s yeast using neural networks

Auteur: Didier Villemin, Driss Cherqaoui, Abdelhalim Mesbah

Revue: European Chemical Bulletin

Année: 2016

The Hyperconjugation and the Trans Bent Structure of A =A (A =C, Si,..., Pb) Double Bond, from Dimetallene A 2 H 4 to Nanosystems

Auteur: Hasna Choukri, Hassan Chataoui, Driss Cherqaoui, Abdellah Jarid

Revue: Silicon

Année: 2015

DOI: 10.1007/s12633-015-9285-8

« Précédent 2 3 4

Communications (22 au total)

In silico identification of novel NS5A inhibitors with potential anti-HCV activity

Manifestation: UM6P Doctoral Day 2023

Date: 2023-09-25

Organisation: Université Mohammed VI Polytechnique, Ben Guérir, Morocco

QSAR modeling, ADMET predictions and molecular docking analysis of a series of Dimeric phenylthiazole derivatives as NS5A inhibitors

Manifestation: 33th edition of the International Congress of “Apollonia” University of Iasi

Date: 2023-03-03

Organisation: Apollonia University of Iasi, Iasi, Roumanie

Identification of novel TMPRSS4 inhibitors via homology modeling, molecular docking and molecular dynamics

Manifestation: 33rd edition of the International Congress of “Apollonia” University of Iasi

Date: 2023-03-02

Organisation: Apollonia University of Iasi, Iasi, Roumanie

8. In silico studies toward the identification of potential glycoprotein inhibitors as anti-Ebola agents

Manifestation: 33rd edition of the International Congress of “Apollonia” University of Iasi

Date: 2023-03-02

Organisation: Apollonia University of Iasi, Iasi, Roumanie

Identification of new potential HCV inhibitors

Manifestation: International bioinformatics conference (IBC 2022):Drug Design

Date: 2022-10-08

Organisation: Tanger, Maroc

In Silico approaches for the design of HCV inhibitors

Manifestation: Science week talks

Date: 2022-05-31

Organisation: Université Mohammed VI Polytechnique, Ben Guérir, Morocco

In silico QSAR-based discovery and molecular docking of novel inhibitors of the SARS-COV-2 main protease (Mpro)

Manifestation: 32nd edition of the international congress of Apollonia University "Preparing the Future by Promoting Excellence"

Date: 2022-03-02

Organisation: Iasi, Romania

QSAR Study of NS5A Inhibitors against Hepatitis C Virus using the Monte Carlo Optimization and the Genetic Algorithm Multiple Linear Regression(GA-MLR) Models

Manifestation: 6th International Conference on Computational Science and Technology 2021-ICCST

Date: 2021-10-31

Organisation: Faculty of Pharmacy, Chiang Mai University, Thailand

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

Manifestation: 6th International Conference on Computation For Sciences and Technology

Date: 2021-10-30

Organisation: Thailand

1 2 3 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 (1 au total)

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

Publications (29 au total)

Prediction of predominant configuration in enantioselective reduction of -Ketoacid derivatives with baker&rsquo;s yeast using neural networks

The Hyperconjugation and the Trans Bent Structure of A =A (A =C, Si,..., Pb) Double Bond, from Dimetallene A 2 H 4 to Nanosystems

Communications (22 au total)

In silico identification of novel NS5A inhibitors with potential anti-HCV activity

QSAR modeling, ADMET predictions and molecular docking analysis of a series of Dimeric phenylthiazole derivatives as NS5A inhibitors

Identification of novel TMPRSS4 inhibitors via homology modeling, molecular docking and molecular dynamics

8. In silico studies toward the identification of potential glycoprotein inhibitors as anti-Ebola agents

Identification of new potential HCV inhibitors

In Silico approaches for the design of HCV inhibitors

In silico QSAR-based discovery and molecular docking of novel inhibitors of the SARS-COV-2 main protease (Mpro)

QSAR Study of NS5A Inhibitors against Hepatitis C Virus using the Monte Carlo Optimization and the Genetic Algorithm Multiple Linear Regression(GA-MLR) Models

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

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

Prediction of predominant configuration in enantioselective reduction of -Ketoacid derivatives with baker’s yeast using neural networks

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