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- Volume 20, Issue 2, 2024
Medicinal Chemistry - Volume 20, Issue 2, 2024
Volume 20, Issue 2, 2024
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Synthetic Methods for Various Chromeno-fused Heterocycles and their Potential as Antimicrobial Agents
Authors: Neetu Agrawal, Radhika Goswami and Shilpi PathakChromenes are a significant family of heterocyclic chemicals that have a wide range of biological applications, a simple chemical structure, and only mildly undesirable side effects. The synthesis of a wide range of chromene analogs that displayed unexpected behaviors via numerous mechanisms was investigated by a number of different research teams, which led to the discovery of multiple pathways for their synthe Read More
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Antibacterial Evaluation of Gallic Acid and its Derivatives against a Panel of Multi-drug Resistant Bacteria
Authors: Mohamed Abdella, Chandrajit Lahiri, Iskandar Abdullah and Ayaz AnwarBackground: Infectious diseases are the second leading cause of deaths worldwide. Pathogenic bacteria have been developing tremendous resistance against antibiotics which has placed an additional burden on healthcare systems. Gallic acid belongs to a naturally occurring phenolic class of compounds and is known to possess a wide spectrum of antimicrobial activities. Aims & Objectives: In this study, we synthesized Read More
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4D-QSAR and MIA-QSAR Studies of Aminobenzimidazole Derivatives as Fourth-generation EGFR Inhibitors
Authors: Xuegong Jia, Chaochun Wei, Nana Tian, Hong Yan and Hongjun WangBackground: The epidermal growth factor receptor (EGFR) protein has been intensively studied as a therapeutic target for non-small cell lung cancer (NSCLC). The aminobenzimidazole derivatives as the fourth-generation EGFR inhibitors have achieved promising results and overcame EGFR mutations at C797S, del19 and T790M in NSCLC. Objective: In order to understand the quantitative structure-activity relationship (QSAR) Read More
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Determination of Novel SARS-CoV-2 Inhibitors by Combination of Machine Learning and Molecular Modeling Methods
Authors: Ersin Güner, Özgür Özkan, Gözde Yalcin-Ozkat and Süreyya ÖlgenIntroduction: Within the scope of the project, this study aimed to find novel inhibitors by combining computational methods. In order to design inhibitors, it was aimed to produce molecules similar to the RdRp inhibitor drug Favipiravir by using the deep learning method. Methods: For this purpose, a Trained Neural Network (TNN) was used to produce 75 molecules similar to Favipiravir by using Simplified Molecular Input Lin Read More
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In silico Evaluation of Ferulic Acid Based Multifunctional Conjugates as Potential Drug Candidates
Authors: Hayat A. Al-Btoush and Mahmoud A. Al-Sha'erBackground: Recent research has shown that ferulic acid (FA, trans-4-hydroxy-3-methoxycinnamic acid) has remarkable antioxidant properties and a wide range of biological activities. Conjugation of two or more biologically active compounds to produce a novel molecular scaffold is justified by the need to enhance biological activity against a single target or obtain a conjugate that behaves as a multi-target-directed ligand. In ad Read More
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Volumes & issues
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Volume 21 (2025)
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Volume 20 (2024)
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Volume 19 (2023)
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Volume 18 (2022)
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Volume 17 (2021)
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Volume 16 (2020)
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Volume 15 (2019)
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Volume 14 (2018)
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Volume 13 (2017)
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Volume 12 (2016)
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Volume 11 (2015)
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Volume 10 (2014)
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Volume 9 (2013)
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Volume 8 (2012)
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Volume 7 (2011)
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Volume 6 (2010)
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Volume 5 (2009)
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Volume 4 (2008)
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Volume 3 (2007)
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Volume 2 (2006)
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Volume 1 (2005)
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