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Results 1-4 of 4 (Search time: 0.001 seconds).
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  • Authors: Abdullahi, Sagiru Hamza;  Advisor: -;  Participants: Uzairu, Adamu; Shallangwa, Gideon Adamu; Uba, Sani; Umar, Abdullahi Bello (2022)

  • Four QSAR models were developed from the training set data using genetic function algorithm (GFA) coupled with multi linear regression (MLR), and their expressions are presented below:Model 1 Y = 0.342327907 *  apol + 0.002006877 * ATSC8m + 0.021947183 * ATSC7s − 2.110146447 * SM1_Dzm − 0.027702443 * SpAbs_Dzs + 0.122940438 * ZMIC4 − 9.882891756. Model 2 Y = 0.333966562 * apol + 0.001909583 * ATSC8m + 0.019049122 * ATSC7s − 2.079324191 * SM1_DzZ − 0.027112784 * SpAbs_Dzs + 0.119956742 * ZMIC4 − 9.456381109. Model 3 Y = 0.342932868 * apol + 0.002004154 * ATSC8m + 0.021734174 * ATSC7s − 2.067273713 * SM1_Dzm − 0.027821824 * SpAD_Dzs + 0.122642435 * ZMIC4 − 9.889860694. Model 4 Y = 0.334437304 * apol + 0.001906343 * ATSC8m + 0.018877487 * ATSC7s − 2.033875692 * SM1_DzZ − 0...

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  • Authors: Ameji, John Philip;  Advisor: -;  Participants: Uzairu, Adamu; Shallangwa, Gideon Adamu; Uba, Sani (2023)

  • Typhoid fever, a disease caused by a gram negative bacterial species known as Salmonella typhi, constitutes a significant cause of morbidity and mortality, especially in developing nations of the world. Antibiotic therapy is the major treatment option currently but the rising incidences of resistance to existing antibiotics has necessitated the search for newer ones. The aim of this study is to apply in silico techniques to design highly potent novel imidazole-based drug candidates that strongly antagonize a cell invasion protein (SipA) of Salmonella typhi.

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  • Authors: Umar, Abdullahi Bello;  Advisor: -;  Participants: Uzairu, Adamu; Shallangwa, Gideon Adamu; Uba, Sani (2020)

  • The docking result demonstrates that compound 28 best inhibits V600E-BRAF when compared with other compounds within the dataset. This compound was used as a template in designing novel anticancer compounds by attaching some favorable substituents. The docking results of the designed compounds revealed a good MolDock score (< − 90), which showed that all the compounds can efficiently bind with the active sites of the target, out of which two analogous (N1 and N3) were considered optimal that outperformed vemurafenib, the FDA-approved V600E-BRAF inhibitor. Furthermore, these compounds passed the drug-likeness criteria (Lipinski’s rule) successfully and were found to be orally bioavailable. Also, the designed compounds were found to have good pharmacokinetics absorption, distribution, ...

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