Doh Soro
Université d'Abobo-Adjamé
8 Papers
3 Citations
Doh Soro is an academic researcher from Université d'Abobo-Adjamé. The author has contributed to research in topics: Chemistry & Density functional theory. The author has an hindex of 2, co-authored 5 publications.
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Papers
DFT Study of Molecular Stability and Reactivity on Some Hydroxamic Acids: An Approach by Hirshfeld Population Analysis
TL;DR: In this paper, the authors used the dual descriptor from the conceptual DFT to determine the atoms responsible for zinc chelation in order to propose new, more active molecules and determined the local reactivity of the hydroxamic acids studied using Fukui functions by the Hirshfeld method.
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Theoretical Studies of the Chemical Reactivity of a Series of Coumarin Derivatives by the Density Functional Theory
Lamoussa Ouattara,Kafoumba Bamba,Mamadou Guy-Richard Koné,Jean Stéphane N’dri,Affoué Lucie Bédé,Kouakou Nobel N’guessan,Doh Soro +6 more
- 02 Jan 2021
TL;DR: In this paper, the global descriptors of reactivity such as HOMO and LUMO energies, chemical hardness, electrophilicity, softness and dipole moment are theoretically determined for five coumarin derivatives.
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Quantitative Structure-Activity Relationship (QSAR) Study of a Series of Chalcone Derivatives Inhibiting Plasmodium Falciparum 3D7
Georges Stéphane Dembélé,Mamadou Guy-Richard Koné,Bafétigué Ouattara,Fandia Konate,Doh Soro,Nahossé Ziao +5 more
TL;DR: In this paper , a Quantitative Structure-Activity Relationship (QSAR) study was conducted using a series of twenty chalcone derivatives with inhibitory activities against Plasmodium falciparum 3D7.
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Quantitative Structure-Activity Relationship Study of a Benzimidazole-Derived Series Inhibiting <i>Mycobacterium tuberculosis H37Rv</i>
Georges Stéphane Dembélé,Mamadou Guy-Richard Koné,Fandia Konate,Doh Soro,Nahossé Ziao +4 more
TL;DR: In this article , a series of 22 benzimidazole derivatives with inhibitory activities against Mycobacterium tuberculosis H37Rv by applying the Quantitative Structure-Activity Relationship (QSAR) method were optimized at the level DFT/B3LYP/6−31 + G (d, p), to obtain the molecular descriptors.
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