H
Hassan H. Abdallah
Researcher at Salahaddin University
Publications - 125
Citations - 953
Hassan H. Abdallah is an academic researcher from Salahaddin University. The author has contributed to research in topics: Density functional theory & Cycloaddition. The author has an hindex of 13, co-authored 118 publications receiving 644 citations. Previous affiliations of Hassan H. Abdallah include Universiti Sains Malaysia & Universiti Teknologi Malaysia.
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Journal ArticleDOI
Phytochemical profiling, in vitro biological properties and in silico studies on Caragana ambigua stocks (Fabaceae): A comprehensive approach
Saima Khan,Mamona Nazir,Naheed Raiz,Muhammad Saleem,Gokhan Zengin,Gazala Fazal,Hammad Saleem,Hammad Saleem,Mahreen Mukhtar,Muhammad Imran Tousif,Rasool Baksh Tareen,Hassan H. Abdallah,Hassan H. Abdallah,Fawzi M. Mahomoodally +13 more
TL;DR: In this article, the chemical and biological effects of different extracts of different Caragana ambigua stocks (Fabaceae) were determined using standard spectrophotometric methods, whereas, the secondary metabolites composition was established by ultra-high performance liquid chromatography-mass spectrometry (UHPLC-MS) analysis.
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Combination of phenolic profiles, pharmacological properties and in silico studies to provide new insights on Silene salsuginea from Turkey.
Gokhan Zengin,Maria João Rodrigues,Hassan H. Abdallah,Luísa Custódio,Azzurra Stefanucci,Muhammad Zakariyyah Aumeeruddy,Adriano Mollica,Kannan R.R. Rengasamy,Mohamad Fawzi Mahomoodally +8 more
TL;DR: Extracts of S. salsuginea are a potential source of functional food ingredients but need further analytical experiments to explore its complexity of chemical compounds and pharmacological properties as well as using in vivo toxicity models to establish its maximum tolerated dose.
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Antioxidant and Neuroprotective Effects Induced by Cannabidiol and Cannabigerol in Rat CTX-TNA2 Astrocytes and Isolated Cortexes
Viviana di Giacomo,Annalisa Chiavaroli,Lucia Recinella,Giustino Orlando,Amelia Cataldi,Monica Rapino,Valentina Di Valerio,Maurizio Ronci,Sheila Leone,Luigi Brunetti,Luigi Menghini,Gokhan Zengin,Gunes Ak,Hassan H. Abdallah,Hassan H. Abdallah,Claudio Ferrante +15 more
TL;DR: The results in the in vitro system suggest brain non-neuronal cells as a target in the treatment of oxidative conditions, whereas findings in the ex vivo system and docking analyses imply the potential roles of CBD and CBG as neuroprotective agents.
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Quantitative structure–activity relationship model for prediction study of corrosion inhibition efficiency using two-stage sparse multiple linear regression
Abdo M. Al-Fakih,Abdo M. Al-Fakih,Zakariya Yahya Algamal,Zakariya Yahya Algamal,Muhammad Hisyam Lee,Hassan H. Abdallah,Hasmerya Maarof,Madzlan Aziz +7 more
TL;DR: In this article, a new quantitative structure-activity relationship (QSAR) of the inhibition of mild steel corrosion in 1'M hydrochloric acid using furan derivatives was developed by proposing two-stage sparse multiple linear regression.
Journal Article
High dimensional QSAR study of mild steel corrosion inhibition in acidic medium by furan derivatives
Abdo M. Al-Fakih,Madzlan Aziz,Hassan H. Abdallah,Zakariya Yahya Algamal,Muhammad Hisyam Lee,Hasmerya Maarof +5 more
TL;DR: In this paper, the inhibition of mild steel corrosion in 1 M HCl by 17 furan derivatives was investigated experimentally using potentiodynamic polarization measurements, and the results confirm that the penalized multiple linear regression based on elastic net penalty is the most effective method to deal with high dimensional data.