E. Edache

发表

Quantitative Structure-Activity Relationship Analysis of the Anti- tyrosine Activity of Some Tetraketone and Benzyl-benzoate Derivatives Based on Genetic Algorithm-Multiple Linear Regression

E. Edache, D. Arthur, Usman Abdulfatai, 2017 .

Docking and Virtual Screening Studies of Tetraketone Derivatives as Tyrosine Kinase (EGFR) Inhibitors: A Rational Approach to Anti-Fungi Drug Design

E. Edache, S. Shafiu, U. Sani, 2017 .

QSAR Study of Series of HEPT (1-[(2-hydroxyethoxy) methyl]-6-(phenylthio)thyio)thymine) Derivatives Using Genetic Function Approximation as Anti-HIV-1 Agents

E. Edache, A. Uzairu, S. Abechi, 2016 .

APPLICATION OF GENETIC ALGORITHM-MULTIPLE LINEAR REGRESSION (GA-MLR) FOR PREDICTION OF ANTI-FUNGAL ACTIVITY

E. Edache, S. Abechi, 2016 .

Multivariate QSAR Study of Indole β- Diketo Acid, Diketo Acid and Carboxamide Derivatives as Potent Anti-HIV Agents

E. Edache, A. Uzairu, S. Abechi, 2015 .

QSAR, homology modeling, and docking simulation on SARS-CoV-2 and pseudomonas aeruginosa inhibitors, ADMET, and molecular dynamic simulations to find a possible oral lead candidate

E. Edache, A. Uzairu, P. Mamza, 2022, Journal of Genetic Engineering and Biotechnology.

Theoretical Investigation of the Cooperation of Iminoguanidine with the Enzymes-Binding Domain of Covid-19 and Bacterial Lysozyme Inhibitors and their Pharmacokinetic Properties

E. Edache, A. Uzairu, P. Mamza, 2022, Journal of the Mexican Chemical Society.

Quantitative structure and activity relationship modeling study of anti-HIV-1 RT inhibitors: Genetic function approximation and density function theory methods

E. Edache, A. Uzairu, S. Abechi, 2015 .

A Semi-empirical based QSAR study of indoleβ- Diketo acid, Diketo acid and Carboxamide Derivativesas potent HIV-1 agent Using Quantum Chemical descriptors

Samuel, E. Edache, A. Abduljelil, 2015 .

A comparative QSAR analysis, 3D-QSAR, molecular docking and molecular design of iminoguanidine-based inhibitors of HemO: A rational approach to antibacterial drug design

Gideon Adamu Shallangwa, E. Edache, A. Uzairu, 2020, Journal of Drugs and Pharmaceutical Science.

Structure-based simulated scanning of Rheumatoid Arthritis inhibitors: 2D-QSAR, 3D-QSAR, Docking, Molecular dynamics simulation, and Lipophilicity indices calculation

Gideon Adamu Shallangwa, E. Edache, A. Uzairu, 2021, Scientific African.

Virtual screening, pharmacokinetics, and molecular dynamics simulations studies to identify potent approved drugs for Chlamydia trachomatis treatment

E. Edache, A. Uzairu, P. Mamza, 2021, Future Journal of Pharmaceutical Sciences.

Molecular phylogeny, Sequence-based drug design, Docking built virtual screening, dynamics simulations, and ADMET properties of thiazolino 2-pyridone amide derivatives as an inhibitor of Chlamydia trachomatis and SARS-CoV-2 protein

E. Edache, A. Uzairu, P. Mamza, 2023, Turkish Computational and Theoretical Chemistry.

2D-QSAR, 3D-QSAR, molecular docking, and molecular dynamics simulations in the probe of novel type I diabetes treatment

Gideon Adamu Shallangwa, E. Edache, A. Uzairu, 2023 .

A Mathematical Modeling and Molecular Dynamic Simulations in the Investigation of Novel Type I Diabetes Treatment

Gideon Adamu Shallangwa, E. Edache, A. Uzairu, 2021, Biomedical Journal of Scientific & Technical Research.

Docking Studies of a Series of Fluphenazine as Potential 1RE1(X-Ray Crystal Structure of Caspase-3) Inhibitors: A Rational Approach to Anticancer Drug Design

E. Edache, S. Shafiu, A. Idowu, 2017 .

Combining docking, molecular dynamics simulations, AD-MET pharmacokinetics properties, and MMGBSA calculations to create specialized protocols for running effective virtual screening campaigns on the autoimmune disorder and SARS-CoV-2 main protease

E. Edache, A. Uzairu, P. Mamza, 2023, Frontiers in molecular biosciences.

Investigation of salicylidene acylhydrazides derivatives: Molecular Docking, ADMET, and Molecular Dynamic Simulations were used in conjunction towards the design of new Yersinia pseudotuberculosis inhibitors

E. Edache, 2021, Turkish Computational and Theoretical Chemistry.

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

E. Edache, S. Adeniji, S. Adawara, 2024, Journal of Molecular Structure.

Cheminformatics-based discovery of new organoselenium compounds with potential for the treatment of cutaneous and visceral leishmaniasis.

E. Edache, A. Uzairu, W. Al-Megrin, 2023, Journal of biomolecular structure & dynamics.

Towards designing of some potential new autoimmune disorder inhibitors using crystal structures and Hirshfeld surface analyses in combination with molecular docking and molecular dynamics simulations

E. Edache, A. Uzairu, P. Mamza, 2023, Intelligent Pharmacy.

Methimazole and propylthiouracil Design as a Drug for Anti-Graves' Disease: Structural Studies, Hirshfeld Surface Analysis, DFT Calculations, Molecular Docking, Molecular Dynamics Simulations, and Design as a Drug for Anti-Graves' Disease

E. Edache, M. Azam, A. Uzairu, 2023, Journal of Molecular Structure.

Design of some potent non-toxic autoimmune disorder inhibitors based on 2D-QSAR, CoMFA, molecular docking, and molecular dynamics investigations

E. Edache, A. Uzairu, P. Mamza, 2024, Intelligent Pharmacy.

"Molecular Docking Study of Chlamydia Trachomatis Using Salicylidene Acylhydrazides as Inhibitors"

E. Edache, 2021, Biomedical Journal of Scientific & Technical Research.

2D-QSAR, Docking, Molecular Dynamics Simulations with the MM/GBSA Approaches against Graves' Disease and PTPN22

Gideon Adamu Shallangwa, E. Edache, A. Uzairu, 2023, Borneo Journal of Pharmacy.

Evaluation of novel Anti-SARS-CoV-2 compounds by targeting nucleoprotein and envelope protein through homology modeling, docking simulations, ADMET, and molecular dynamic simulations with the MM/GBSA calculation

E. Edache, A. Uzairu, P. Mamza, 2024, Intelligent Pharmacy.

Exploring the potential of aqueous extracts of Artemisia annua ANAMED (A3) for developing new anti‐malarial agents: In vivo and silico computational approach

E. Edache, T. Chinebu, H. O. Uzoeto, 2023, Engineering Reports.

In-silico Screening and ADMET evaluation of Therapeutic MAO-B Inhibitors against Parkinson Disease

E. Edache, R. Ramu, Shashank M. Patil, 2023, Intelligent Pharmacy.