Výsledky vyhledávání - "Hmamouchi, Rachid"

Akademický článek

Prediction of potential inhibitors of SARS-CoV-2 using 3D-QSAR, molecular docking modeling and ADMET properties

Autor: Khaldan, Ayoub, Bouamrane, Soukaina, En-Nahli, Fatima, El-mernissi, Reda, El khatabi, Khalil, Hmamouchi, Rachid, Maghat, Hamid, Ajana, Mohammed Aziz, Sbai, Abdelouahid, Bouachrine, Mohammed, Lakhlifi, Tahar

Publikováno v: In Heliyon March 2021 7(3)

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Akademický článek

QSPR studies of 9-aniliioacridine derivatives for their DNA drug binding properties based on density functional theory using statistical methods: Model, validation and influencing factors.

Autor: Chtita, Samir¹ (AUTHOR) samirchtita@gmail.com, Hmamouchi, Rachid¹ (AUTHOR), Larif, Majdouline² (AUTHOR), Ghamali, Mounir¹ (AUTHOR), Bouachrine, Mohammed³ (AUTHOR), Lakhlifi, Tahar¹ (AUTHOR) samirchtita@gmail.com

Publikováno v: Journal of Taibah University for Science. Nov2016, Vol. 10 Issue 6, p868-876. 9p.

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Akademický článek

Predictive modelling of the LD50 activities of coumarin derivatives using neural statistical approaches: Electronic descriptor-based DFT.

Autor: Hmamouchi, Rachid¹ (AUTHOR), Larif, Majdouline² (AUTHOR), Chtita, Samir¹ (AUTHOR), Adad, Azeddine¹ (AUTHOR), Bouachrine, Mohammed³ (AUTHOR), Lakhlifi, Tahar¹ (AUTHOR) tahar.lakhlifi@yahoo.fr

Publikováno v: Journal of Taibah University for Science. Jul2016, Vol. 10 Issue 4, p451-461. 11p.

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Application of artificial neural networks on a series of anilides molecules based DFT calculations

Autor: Hmamouchi, Rachid, Larif, Majdoulin, Chtita, Samir, Bouachrine, Mohammed, Lakhlifi, Tahar

For a quantitative structure-activity relationship of activity (pI50) inhibiting the reduction of DCIP photosynthetic, a series of 49 selected molecules anilides was modeled using the software GaussView (03) using the DFT method with the B3LYP functi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ba528bdb1784254e801b60b110575eb9

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Density Functional Theory Based Quantitative Structure-Activity Relationship Study of Cycloguanil Derivatives Acting as Plasmodium falciparum

Autor: Hmamouchi, Rachid, Larif, Majdouline, Samir CHTITA, Bouachrine, Mohammed, Lakhlifi, Tahar

Publikováno v: Web of Science

This work presents a study of quantitative structure-activity relationship (QSAR) on the cycloguanil derivatives which are reported as growth inhibitors of clone of Plasmodium falciparum (T9/94 RC17) which houses A16V+S108T mutant dihydrofolate reduc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b9ba9e8f8782126f864c954896d00fe

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Akademický článek

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Akademický článek

Investigation of Antileishmanial Activities of Acridines Derivatives against Promastigotes and Amastigotes Form of Parasites Using Quantitative Structure Activity Relationship Analysis.

Autor: Chtita, Samir, Ghamali, Mounir, Hmamouchi, Rachid, Elidrissi, Bouhya, Bourass, Mohamed, Larif, Majdouline, Bouachrine, Mohammed, Lakhlifi, Tahar

Publikováno v: Advances in Physical Chemistry; 11/22/2016, p1-16, 16p

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Periodical

Quantitative Structure–Activity Relationship Studies of Anticancer Activity for Isatin (1H-indole-2,3-dione) Derivatives Based on Density Functional Theory

Autor: Chtita, Samir, Ghamali, Mounir, Larif, Majdouline, Hmamouchi, Rachid, Bouachrine, Mohammed, Lakhlifi, Tahar

Publikováno v: International Journal of Quantitative Structure-Property Relationships; July 2017, Vol. 2 Issue: 2 p90-115, 26p

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Periodical

Predictive modelling of the LD50activities of coumarin derivatives using neural statistical approaches: Electronic descriptor-based DFT

Autor: Hmamouchi, Rachid, Larif, Majdouline, Chtita, Samir, Adad, Azeddine, Bouachrine, Mohammed, Lakhlifi, Tahar

Publikováno v: Journal of Taibah University for Science; July 2016, Vol. 10 Issue: 4 p451-461, 11p

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