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Safa Daoud
Safa Daoud
Associate Professor, Faculty of Pharmacy, Applied Science Private University
Verified email at asu.edu.jo - Homepage
Title
Cited by
Cited by
Year
Melatonin in cancer treatment: current knowledge and future opportunities
WH Talib, AR Alsayed, A Abuawad, S Daoud, AI Mahmod
Molecules 26 (9), 2506, 2021
1222021
Plant-derived natural products in cancer research: extraction, mechanism of action, and drug formulation
WH Talib, I Alsalahat, S Daoud, RF Abutayeh, AI Mahmod
Molecules 25 (22), 5319, 2020
682020
Plants as a source of anticancer agents: From bench to bedside
WH Talib, S Daoud, AI Mahmod, RA Hamed, D Awajan, SF Abuarab, ...
Molecules 27 (15), 4818, 2022
322022
Identification of potential COVID-19 main protease inhibitors using structure-based pharmacophore approach, molecular docking and repurposing studies
S Daoud, SJ Alabed, LA Dahabiyeh
Acta Pharmaceutica 71 (2021), 2020
302020
The first detection of Pneumocystis jirovecii in asthmatic patients post-COVID-19 in Jordan
AR Alsayed, W Talib, A Al-Dulaimi, S Daoud, M Al Maqbali
Bosnian Journal of Basic Medical Sciences 22 (5), 784, 2022
192022
Pharmacophore modeling of JAK1: a target infested with activity-cliffs
S Daoud, MO Taha
Journal of Molecular Graphics and Modelling 99, 107615, 2020
152020
Determination of antimicrobial drug resistance among bacterial isolates in two hospitals of Baghdad
I Mahmoud, K Altaif, MA Sini, S Daoud, N Aqel
Jordan Journal of Pharmaceutical Sciences 13 (1), 2020
112020
Preparation, Physicochemical characterization and biological evaluation of some hesperidin metal complexes
S Daoud, FU Afifi, AG Al-Bakri, V Kasabri, II Hamdan
Iranian Journal of Pharmaceutical Research: IJPR 13 (3), 909, 2014
112014
Ligand-based modeling of CXC chemokine receptor 4 and identification of inhibitors of novel chemotypes as potential leads towards new anti-COVID-19 treatments
S Daoud, M Taha
Medicinal Chemistry 18 (8), 871-883, 2022
102022
Discovery of new Cdc2-like kinase 4 (CLK4) inhibitors via pharmacophore exploration combined with flexible docking-based ligand/receptor contact fingerprints and machine learning
MF Al-Tawil, S Daoud, MH Ma'mon, MO Taha
RSC advances 12 (17), 10686-10700, 2022
92022
Evaluation and molecular modelling of bis-Schiff base derivatives as potential leads for management of diabetes mellitus
S Daoud, S Thiab, T Jazzazi, T Al-Shboul, S Ullah
Acta Pharmaceutica 72 (3), 449-458, 2022
62022
Synthesis, computational, anticancerous and antiproliferative effects of some copper, manganese and zinc complexes with ligands derived from symmetrical 2, 2’-diamino-4, 4 …
TS Ababneh, M El-Khateeb, AK Tanash, TMA AL-Shboul, MJA Shammout, ...
Polish Journal of Chemical Technology 23 (1), 7-15, 2021
62021
Pharmacophore Modeling of Targets Infested with Activity Cliffs via Molecular Dynamics Simulation Coupled with QSAR and Comparison with other …
A Abudayah, S Daoud, MA Al‐Sha'er, M Omar Taha
Molecular Informatics 41 (11), 2200049, 2022
52022
Design and synthesis of new JAK1 inhibitors based on Sulfonamide-Triazine Conjugates
S Daoud, MO Taha
Current Computer-Aided Drug Design 17 (7), 916-926, 2021
32021
Augmenting bioactivity by docking‐generated multiple ligand poses to enhance machine learning and pharmacophore modelling: discovery of new TTK inhibitors as case study
AM AL‐Imam, S Daoud, MM Hatmal, MO Taha
Molecular Informatics 42 (6), 2300022, 2023
12023
Assessing health-related behaviors among Jordanian children during COVID-19 pandemic: A cross-sectional study
S Thiab, M Barakat, R Qudah, I Basheti, S Daoud
Pharmacy Practice 20 (2), 1-8, 2022
12022
Activity Cliffs As Protein-Related Phenomenon: Investigation Using Machine Learning Against Numerous Protein Kinases
S Daoud, M Taha
12022
Protein characteristics substantially influence the propensity of activity cliffs among kinase inhibitors
S Daoud, M Taha
Scientific Reports 14 (1), 9058, 2024
2024
Ligand-based pharmacophore modeling and machine learning for the discovery of potent aurora A kinase inhibitory leads of novel chemotypes
R Banat, S Daoud, MO Taha
Molecular Diversity, 1-17, 2024
2024
Jordanian Medicinal Plants in the Treatment of Diabetes
WH Talib, RF Abutayeh, S Thiab, S Daoud, L Omer, AI Mahmod
Ancient and Traditional Foods, Plants, Herbs and Spices used in Diabetes, 47-61, 2024
2024
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