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SHOLA ELIJAH ADENIJI

Teaching Assistant

University of California, Riverside

United States

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About

Shola Elijah Adeniji is a Teaching Assistant at the University of California, Riverside, USA. His research focuses on computational modeling and molecular docking studies, with particular interests in anti-tubercular agents and the evaluation of various chemical derivatives. Recent publications include investigations into MAB magnets and the inhibitory potential of urea derivatives against leishmaniasis. Adeniji's work contributes to the development of new therapeutic agents through advanced computational techniques.

Articles (14)

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2026

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2025

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2020

Collaborators (2)

Alexei Belik

Chief researcher

National Institute for Materials Science

JAPAN

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Boniface P. T. Fokwa

University of California, Riverside

UNITED STATES

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SHOLA ELIJAH ADENIJI

Research Interests

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About

Articles (14)

Anisotropy‐Driven Discovery of Rare‐Earth‐Free Magnets in Mo2FeB2‐Type Borides

Structural Stability, Bonding, and Magnetism in the TiMOs2B2 Series (M = Cr–Ni): Insights into Frustration, High-TC Ferromagnetism, and Off-Stoichiometry

Opening the Hysteresis Loop in MAB Magnets: Experimental and Computational Studies of CrMn4SiB2 and Mo0.8Mn4.2SiB2

High-Coercivity Spin Glasses in Anisotropic Mo2FeB2-Type M1.5Mn1.5B2 (M = Mo, W)

Antibonding–Vacancy Coupling Boosts Hydrogen Evolution Rate in Diborides

Computational evaluation of the inhibitory potential of some urea, thiourea, and selenourea derivatives of diselenides against leishmaniasis: 2D-QSAR, pharmacokinetics, molecular docking, and molecular dynamics simulation

Computer-aided modeling of triazole analogues, docking studies of the compounds on DNA gyrase enzyme and design of new hypothetical compounds with efficient activities

Anti-tubercular Modelling via QSAR Approach, In Silico Design and Virtual Docking Screening of Designed Hypothetical Inhibitors Against DNA gyrase Protein

Homology modeling and molecular docking simulation of some novel imidazo[1,2-a]pyridine-3-carboxamide (IPA) series as inhibitors of Mycobacterium tuberculosis

In-silico Molecular Docking and ADME/Pharmacokinetic Prediction Studies of Some Novel Carboxamide Derivatives as Anti-tubercular Agents

Computational investigation, virtual docking simulation of 1, 2, 4-Triazole analogues and insillico design of new proposed agents against protein target (3IFZ) binding domain

Computational modeling and ligand-based design of some novel hypothetical compound as prominent inhibitors against Mycobacterium tuberculosis

Multi-linear regression model, molecular binding interactions and ligand-based design of some prominent compounds against Mycobacterium tuberculosis

Quantitative structure-activity relationship (QSAR) modelling study of some novel carboxamide series as new anti-tubercular agents

Collaborators (2)

Alexei Belik

Boniface P. T. Fokwa

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