Monitoring and Modeling of Chlorophyll-a Dynamics in a Eutrophic Lake: M'koa Lake (Jacqueville, Ivory Coast)

Kpidi, Yapo Habib; Yapo, Ossey Bernard; Koné, Mamadou Guy-Richard; Gadji, Gabaze André; Gnagne, Agness Essoh Jean Eudes Yves; N’dri, Jean Stéphane; Ziao, Nahossé

doi:10.12691/env-6-1-1

Cited by 6 publications

(3 citation statements)

References 21 publications

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“…The structures of 18 hydroxamic acid compounds were studied by statistical methods based on Principal Component Analysis (PCA) [25] [26] [27] using the software XLSTAT version 2014 [20] to determine the descriptors that are related. direct with anticancer activity.…”

Section: Discussionmentioning

confidence: 99%

DFT Study, Linear and Nonlinear Multiple Regression in the Prediction of HDAC7 Inhibitory Activities on a Series of Hydroxamic Acids

Soro¹,

Ekou²,

Ouattara³

et al. 2019

CMB

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In this work, we conducted a QSAR study on 18 molecules using descriptors from the Density Functional Theory (DFT) in order to predict the inhibitory activity of hydroxamic acids on histone deacetylase 7. This study is performed using the principal component analysis (PCA) method, the Ascendant Hierarchical Classification (AHC), the linear multiple regression method (LMR) and the nonlinear multiple regression (NLMR). DFT calculations were performed to obtain information on the structure and information on the properties on a series of hydroxamic acids compounds studied. Multivariate statistical analysis yielded two quantitative models (model MLR and model MNLR) with the quantum descriptors: electronic affinity (AE), vibration frequency of the OH bond (ν(OH)) and that of the NH bond (ν(NH)). The LMR model gives statistically significant results and shows a good predictability R 2 = 0.9659, S = 0.488, F = 85 and p-value < 0.0001. Electronic affinity is the priority descriptor in predicting the activity of HDAC7 inhibitors in this study. The results obtained suggest that the descriptors derived from the DFT could be useful to predict the activity of histone deacetylase 7 inhibitors. These models were evaluated according to the criteria of Tropsha et al.

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Section: Discussionmentioning

confidence: 99%

DFT Study, Linear and Nonlinear Multiple Regression in the Prediction of HDAC7 Inhibitory Activities on a Series of Hydroxamic Acids

Soro¹,

Ekou²,

Ouattara³

et al. 2019

CMB

Self Cite

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show abstract

“…Alternative methods are then scanned. This is why the QSAR methodology, which has emerged for some decades [33,35], and which links biological activity quantitatively to the molecular structure, has entered this research process [36][37][38][39][40]. It should be noted, however, that for the analgesic activities of pyrimidine derivatives, a very limited number use this methodology [31].…”

Section: Sift Deskmentioning

confidence: 99%

Qsar Approach to Estimating the Analgesic Activity of a Series of Tri-Substituted Pyrimidine Derivatives

Koné¹,

Traoré²,

Ouattara³

et al. 2019

SDRP-JCCMM

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“…The fight against eutrophication in the Ebrié lagoon is based on increased monitoring of the physical-chemical and biological quality of the lagoon. This monitoring, which is essential, appears to be Transparency Prediction costly in terms of equipment and reagents [10] and must be carried out over a sufficiently long period of time to take into account the temporal variability of the phenomenon [11]. It is therefore necessary, for the effectiveness of this control, to associate mathematical models which are real decision-making tools for managers by simulating the response of the environment to the various environmental measures.…”

Section: Introductionmentioning

confidence: 99%

Dynamics of the Estuarine Zone of the Ebrié Lagoon (Abidjan - Ivory Coast) and Transparency Prediction

Gansso Valentin,

Mananga Olivier Simon,

Yapo Habib

et al. 2023

IJEPP

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In order to contribute to the effective fight against eutrophication of the Ebrié lagoon estuarine waters, the present study proposed a mathematical model to predict water transparency based on five physico-chemical descriptors (temperature, dissolved oxygen, nitric nitrogen N-NO 3 -, nitrous nitrogen N-NO 2 and ammoniacal nitrogen N-NH 4 +). On twenty-seven (27) water samples collected from 2014 to 2015, in situ measurements and physico-chemical analyses were carried out based on French standards. All the data collected was subjected to a multiple linear regression analysis. The proposed linear model is accredited with good statistical indicators. These statistical indicators revealed effective predictions with a coefficient of determination (R 2 = 0.9308) close to one; a standard deviation (RMSE = 0.1311) of less than 0.3; a cross-validation coefficient of determination (Q 2 CV = 0.9256) of more than 0.9; and a Fischer test p-value of less than 0.0001. Furthermore, the values of the ratio of theoretical to experimental transparency of the validation set tend towards one. The results obtained suggest that the combination of these 5 descriptors could be useful for predicting transparency. Moreover, dissolved oxygen is the priority descriptor for the prediction of the transparency of the Ebrié lagoon, although the influence of the other descriptors is not less important.

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Monitoring and Modeling of Chlorophyll-a Dynamics in a Eutrophic Lake: M'koa Lake (Jacqueville, Ivory Coast)

Cited by 6 publications

References 21 publications

DFT Study, Linear and Nonlinear Multiple Regression in the Prediction of HDAC7 Inhibitory Activities on a Series of Hydroxamic Acids

DFT Study, Linear and Nonlinear Multiple Regression in the Prediction of HDAC7 Inhibitory Activities on a Series of Hydroxamic Acids

Qsar Approach to Estimating the Analgesic Activity of a Series of Tri-Substituted Pyrimidine Derivatives

Dynamics of the Estuarine Zone of the Ebrié Lagoon (Abidjan - Ivory Coast) and Transparency Prediction

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