Hermann N’Guessan

Design and In silico Screening of Combinatorial Library of New Herbicidal Analogs of Cycloalka[d]quinazoline-2,4dione−Benzoxazinones Inhibiting Protoporphyrinogen IX Oxidase

Hermann N’Guessan, Issouf Soro, Melalie Keita & Eugene Megnassan · Journal of Pharmaceutical Research International · 2022

We virtually design here an important new weedkiller Cycloalka[d]quinazoline-2,4dione−Benzoxazinones (CQB), inhibitors of Protoporphyrinogen IX Oxidase (PPO). Based on computer-assisted combinatorial chemistry techniques, docking, 3D-QSAR and pharmacophore models we first enumera...

Open access Research Article 10.9734/jpri/2022/v34i567251

Computer-Assisted Design of Hydroxamic Acid Derivatives Inhibitors of M1 Metallo Aminopeptidase of Plasmodium falciparum with Favorable Pharmacokinetic Profile

Niaré Adama, Hermann N’Guessan, Brice Dali & Eugene Megnassan · Journal of Pharmaceutical Research International · 2022

We virtually design here new subnanomolar range antimalarial, inhibitors of plasmodium falciparum M1 Aminopeptidase (PfA-M1), by means of structure-based molecular design. We developed the complexation QSAR models from Hydroxamic Acid derivatives (AHO). A linear correlation was e...

Open access Research Article 10.9734/jpri/2022/v34i607271

An Efficient Random Forest Model for Predicting Respiratory Toxicity of Organic Chemicals

Aubin N’GUESSAN, Ludovic Akonan, Désiré MELEDJE, Hermann N’Guessan, Gabin Placide ALLANGBA, Logbo MOUSSE, Nahossé Ziao, Melalie Keita, Raymond KRE & Eugene Megnassan · Journal of Pharmaceutical Research International · 2025

This study developed a random forest (RF) model based on a large and diverse dataset to classify whether organic chemicals or drugs are respiratory toxicants. Indeed, the concerns regarding drug-induced respiratory remain a major cause of drug candidate failure in clinical trials...

Open access Research Article 10.9734/jpri/2025/v37i127774