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  • Authors: Alisi, Ikechukwu Ogadimma;  Advisor: -;  Participants: Uzairu, Adamu; Abechi, Stephen Eyije (2020)

  • The investigated compounds were able to scavenge HOO· and CH3OO· radicals by HAT and SPLET mechanisms in the gas phase and aqueous solution, based on the computed results of reaction enthalpies and Gibbs free energy. The SET-PT mechanism for these compounds was observed to be thermodynamically unfeasible in the gas phase. However, the thermodynamic feasibility of free radical scavenge by SET-PT mechanism was observed in aqueous solution. Among the investigated compounds, MCC 009 (1E,4E)-1-(3-(aminomethyl)-4-hydroxyphenyl)-5-(4-hydroxy-3-((hydroxy (methyl)amino) methyl)phenyl) penta-1,4-dien-3-one at the 19-OH position possessed the highest capacity to scavenge both HOO· and CH3OO· radicals by HAT, SET-PT, and SPLET mechanisms.

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  • Authors: Isyaku, Yusuf;  Advisor: -;  Participants: Uzairu, Adamu; Uba, Sani; Ibrahim, Muhammad Tukur; Umar, Abdullahi Bello (2020)

  • A computational study was carried out on a series of twenty compounds of novel 4-(N,N-diarylmethylamines) furan-2(5H)-one derivatives against Aphis craccivora insect. Optimization of the compounds was performed with the aid of Spartan 14 software using DFT/B3LYP/6-31G** quantum mechanical method. Using PaDel descriptor software to calculate the descriptors, Generic Function Approximation (GFA) was employed to generate the model. Model 1 found to be the optimal out of four models generated which has the following statistical parameters; R2 = 0.871489, R2adj = 0.83644, cross-validated R2 = 0.790821, and external R2 = 0.550768. Molecular docking study occurred between the compounds and the complex crystal structure of the acetylcholine (protein AChBP) (PDB CODE 2zju) in which compound ...

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  • Authors: Abdulrahman, Hadiza Lawal;  Advisor: -;  Participants: Uzairu, Adamu; Uba, Sani (2020)

  • Three compounds (12, 17, and 18) had the highest docking score ranging from − 7.3 to − 7.4 kcal/mol. This showed that the compounds (ligands) bind tightly with the active site of the thyroid hormone receptor (TRβ1). Based on their tight interactions with the receptor, the compounds were chosen as lead compounds in the design of fourteen new compounds by incorporating some fragments found to bind intensely with the active site of the thyroid hormone receptor (TRβ1). All the newly designed compounds passed the pharmacokinetic analysis (adsorption, distribution, metabolism, excretion, and other physicochemical test) passed the drug-likeness test, and they also adhered to the Lipinski rule of five.

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  • Authors: Mahmud, Aliyu Wappah;  Advisor: -;  Participants: Shallangwa, Gideon Adamu; Uzairu, Adamu (2020)

  • Predictive and robust QSAR model was generated using Genetic Function Algorithm. The model was statistically validated to have internal and external squared correlation coefficient, R2 of 0.982 and 0.735 respectively; predictive squared correlation coefficient, R2pred of 0.599; adjusted squared correlation coefficient, Radj of 0.974; and leave-one-out cross-validation coefficient, Q2cv of 0.966. It was found out that the antiplasmodium activities of 2,5-disubstituted furans relied on the parameters: GATS5c, minsCl RDF130m, RDF75p, and RDF115s descriptors. All the descriptors except minsCl influenced the antiplasmodium activities of the compounds negatively. That is, their increase decreases the activities of the furans and vice versa. The docking study revealed that most of the fura...

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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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