Abdelmalek Khorief Nacereddine

A MEDT computational study of the mechanism, reactivity and selectivity of non-polar [3+2] cycloaddition between quinazoline-3-oxide and methyl 3-methoxyacrylate

Abdelmalek Khorief Nacereddine, 2020, Journal of Molecular Modeling.

Unveiling the Origin of the Selectivity and the Molecular Mechanism in the [3+2] Cycloaddition Reaction of N-aryl-C-carbamoylnitrone with N-arylitaconimide

Abdelmalek Khorief Nacereddine, Fouad Chafaa, 2022, Organics.

A computational molecular docking study of camptothecin similars as inhibitors for topoisomerase 1

Abdelmalek Khorief Nacereddine, F. Ferkous, Khaireddine Kraim, 2020, Structural Chemistry.

A DFT study of [3+2] cycloaddition reactions of an azomethine imine with N-vinyl pyrrole and N-vinyl tetrahydroindole.

L. Domingo, M. Ríos‐Gutiérrez, Abdelmalek Khorief Nacereddine, 2016, Journal of molecular graphics & modelling.

The effects of solvent nature and steric hindrance on the reactivity, mechanism and selectivity of the cationic imino‐Diels–Alder cycloaddition reaction between cationic 2‐azadienes and arylpropene

Abdelmalek Khorief Nacereddine, A. Djerourou, Sabrina Sadi, 2022, Journal of Physical Organic Chemistry.

The Role of the Catalyst on the Reactivity and Mechanism in the Diels–Alder Cycloaddition Step of the Povarov Reaction for the Synthesis of a Biological Active Quinoline Derivative: Experimental and Theoretical Investigations

Abdelmalek Khorief Nacereddine, Wassila Yahia, M. Kara, 2021, Organics.

Unravelling the mechanism and the origin of the selectivity of the [3 + 2] cycloaddition reaction between electrophilic nitrone and nucleophilic alkene

Abdelmalek Khorief Nacereddine, A. Djerourou, Fouad Chafaa, 2019, Theoretical Chemistry Accounts.

A mechanistic MEDT study of the competitive catalysed [4+2] and [2+2] cycloaddition reactions between 1-methyl-1-phenylallene and methyl acrylate: the role of Lewis acid on the mechanism and selectivity

Abdelmalek Khorief Nacereddine, A. Djerourou, Fouad Chafaa, 2018, Structural Chemistry.

A natural language processing approach based on embedding deep learning from heterogeneous compounds for quantitative structure–activity relationship modeling

Anouar Boucheham, Abdelbasset Boukelia, Khalid Bouhedjar, 2020, Chemical biology & drug design.