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- Volume 21, Issue 9, 2021
Current Topics in Medicinal Chemistry - Volume 21, Issue 9, 2021
Volume 21, Issue 9, 2021
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Brevifoliol and its Analogs: A New Class of Anti-tubercular Agents
Brevifoliol is an abeo-taxane isolated from the Taxus wallichiana needles; eighteen semisynthetic esters derivatives of brevifoliol were prepared by Steglich esterification and screened for their anti-tubercular potential against Mycobacterium tuberculosis H37Ra avirulent strain. The 3- [chloro (7)] and 3, 5-[dinitro (8)] benzoic acid ester derivatives were most active (MIC 25 ug/ml) against the pathogen. Further, in silico docking s Read More
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Hybridization Approach to Drug Discovery Inhibiting Mycobacterium tuberculosis-An Overview
Authors: Daniele Zampieri and Maria G. MamoloTuberculosis is one of the top 10 causes of death worldwide and the leading cause of death from a single infectious agent, mainly due to Mycobacterium tuberculosis (MTB). Recently, clinical prognoses have worsened due to the emergence of multi-drug resistant (MDR) and extensive-drug resistant (XDR) tuberculosis, which lead to the need for new, efficient and safe drugs. Among the several strategies, polypharmacol Read More
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A Multi-target Drug Designing for BTK, MMP9, Proteasome and TAK1 for the Clinical Treatment of Mantle Cell Lymphoma
Background: Mantle cell lymphoma (MCL) is a type of non-Hodgkin lymphoma characterized by the mutation and overexpression of the cyclin D1 protein by the reciprocal chromosomal translocation t(11;14)(q13:q32). Aim: The present study aims to identify potential inhibition of MMP9, Proteasome, BTK, and TAK1 and determine the most suitable and effective protein target for the MCL. Methodology: Nine known inhibito Read More
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Predicting Metabolic Reaction Networks with Perturbation-Theory Machine Learning (PTML) Models
Background: Checking the connectivity (structure) of complex Metabolic Reaction Networks (MRNs) models proposed for new microorganisms with promising properties is an important goal for chemical biology. Objective: In principle, we can perform a hand-on checking (Manual Curation). However, this is a challenging task due to the high number of combinations of pairs of nodes (possible metabolic reactions). Results: The Read More
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The Role of Machine Learning in Centralized Authorization Process of Nanomedicines in European Union
Authors: Ricardo Santana, Enrique Onieva, Robin Zuluaga, Aliuska Duardo-Sánchez and Piedad GañánBackground: Machine Learning (ML) has experienced an increasing use, given the possibilities to expand the scientific knowledge of different disciplines, such as nanotechnology. This has allowed the creation of Cheminformatic models capable of predicting biological activity and physicochemical characteristics of new components with high success rates in training and test partitions. Given the current gaps of scie Read More
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Corrigendum to: Computational Modeling of Environmental Co-exposure on Oil-Derived Hydrocarbon Overload by Using Substrate-Specific Transport Protein (TodX) with Graphene Nanostructures
Due to an oversight of the publisher, Page no 2310 was missing in the published paper and page no 2311 repeated twice in the article entitled “Computational Modeling of Environmental Co-exposure on Oil-Derived Hydrocarbon Overload by Using Substrate-Specific Transport Protein (TodX) with Graphene Nanostructures, 2020, 20(25), 2308-2325 [1]. The page no 2310 is added in the article and the repetition of page no 231 Read More
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Volumes & issues
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Volume 25 (2025)
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Volume 24 (2024)
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Volume 23 (2023)
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Volume 22 (2022)
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Volume 21 (2021)
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Volume 20 (2020)
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Volume 19 (2019)
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Volume 18 (2018)
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Volume 17 (2017)
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Volume 16 (2016)
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Volume 15 (2015)
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Volume 14 (2014)
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Volume 13 (2013)
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Volume 12 (2012)
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Volume 11 (2011)
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Volume 10 (2010)
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Volume 9 (2009)
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Volume 8 (2008)
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Volume 7 (2007)
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Volume 6 (2006)
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Volume 5 (2005)
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Volume 4 (2004)
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Volume 3 (2003)
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Volume 2 (2002)
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Volume 1 (2001)
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