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- Volume 15, Issue 4, 2014
Current Drug Metabolism - Volume 15, Issue 4, 2014
Volume 15, Issue 4, 2014
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A Review on Principles, Theory and Practices of 2D-QSAR
Authors: Kunal Roy and Rudra Narayan DasThe central axiom of science purports the explanation of every natural phenomenon using all possible logics coming from pure as well as mixed scientific background. The quantitative structure-activity relationship (QSAR) analysis is a study correlating the behavioral manifestation of compounds with their structures employing the interdisciplinary knowledge of chemistry, mathematics, biology as well as physics. Sever Read More
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The Prediction of Human Intestinal Absorption Based on the Molecular Structure
Human Intestinal Absorption (HIA) has been modeled many times by using classification models. However, regression models are scarce. Here, Artificial Neural Networks (ANNs) are implemented for this purpose. A dataset of structurally diverse chemicals with their respective experimental HIA were used to design robust, true predictive and widespread applicable ANN models. An input variables pool was made up of structur Read More
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Insights on the Antioxidant Potential of 1, 2, 4-Triazoles: Synthesis, Screening & QSAR Studies
Authors: Sateesh Pokuri, Rajeev K. Singla, Varadaraj G. Bhat and Gautham G. ShenoyThe aligned manuscript reports synthesis, screening and QSAR analysis of twenty six 1, 2, 4-triazole analogues from their respective aromatic carboxylic acids. The structures of synthesized analogues were characterized using physical and spectral analysis. 1, 2, 4-Triazole analogs antioxidant capacity was determined using DPPH radical scavenging assay. Results revealed that out of L, T & VRT series, VRT series of 1 Read More
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Review of Novel Aspects of the Regulation of Ghrelin Secretion
The role of ghrelin in regulating metabolism and energy balance has been a subject of intense focus ever since its discovery. Ghrelin regulates energy balance in the short term by induction of appetite and in the longer term by increasing body weight and adiposity. It is the only known peripheral orexigenic hormone and one of the most potent endogenous orexigenic factors discovered to date. However, whilst extensiv Read More
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QSPR and Flow Cytometry Analysis (QSPR-FCA): Review and New Findings on Parallel Study of Multiple Interactions of Chemical Compounds with Immune Cellular and Molecular Targets
The immune system helps to halt the infections caused by pathogenic microbial and parasitic agents. The ChEMBL database lists very large datasets of cytotoxicity of organic compounds but notably, a large number of compounds have unknown effects over molecular and cellular targets in the immune system. Flow Cytometry Analysis (FCA) is a very important technique to determine the effect of organic compounds over Read More
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Review of Current Chemoinformatic Tools for Modeling Important Aspects of CYPsmediated Drug Metabolism. Integrating Metabolism Data with Other Biological Profiles to Enhance Drug Discovery
More LessThe study of the metabolism of xenobiotics by the human body is an essential stage in the complex and expensive process of drug discovery, being one of the main causes of disapproval and/or withdrawal of drugs. Regarding this, enzymes known as cytochromes P450 (CYPs) play a very decisive role in the biotransformation of many chemicals. For this reason, the use of chemoinformatics to predict and /or analyze from different Read More
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N-Linear Algebraic Maps for Chemical Structure Codification: A Suitable Generalization for Atom-pair Approaches?
The present manuscript introduces, for the first time, a novel 3D-QSAR alignment free method (QuBiLS-MIDAS) based on tensor concepts through the use of the three-linear and four-linear algebraic forms as specific cases of n-linear maps. To this end, the ktj three-tuple and four-tuple spatial-(dis)similarity matrices are defined, as tensors of order 3 and 4, respectively, to represent 3Dinformation among “three and four” atom Read More
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Matrix Trace Operators: From Spectral Moments of Molecular Graphs and Complex Networks to Perturbations in Synthetic Reactions, Micelle Nanoparticles, and Drug ADME Processes
The study of quantitative structure-property relationships (QSPR) is important to study complex networks of chemical reactions in drug synthesis or metabolism or drug-target interaction networks. A difficult but possible goal is the prediction of drug absorption, distribution, metabolism, and excretion (ADME) process with a single QSPR model. For this QSPR modelers need to use flexible structural parameters useful for the de Read More
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Volumes & issues
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Volume 25 (2024)
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Volume 24 (2023)
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Volume 23 (2022)
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Volume 22 (2021)
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Volume 21 (2020)
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Volume 20 (2019)
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Volume 19 (2018)
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Volume 18 (2017)
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Volume 17 (2016)
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Volume 16 (2015)
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Volume 15 (2014)
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Volume 14 (2013)
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Volume 13 (2012)
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Volume 12 (2011)
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Volume 11 (2010)
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Volume 10 (2009)
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Volume 9 (2008)
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Volume 8 (2007)
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Volume 7 (2006)
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Volume 6 (2005)
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Volume 5 (2004)
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Volume 4 (2003)
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Volume 3 (2002)
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Volume 2 (2001)
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Volume 1 (2000)
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