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- Volume 25, Issue 4, 2022
Combinatorial Chemistry & High Throughput Screening - Volume 25, Issue 4, 2022
Volume 25, Issue 4, 2022
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Mechanism of Action of Strychni Semen for Treating Rheumatoid Arthritis and Methods for Attenuating the Toxicity
Authors: Yuling Li, Yifan Liu, Yumeng Shao, Fengcong Zhang, Weidong Liu, Xiaodong Liang and Li ChenBackground: Rheumatoid arthritis (RA) is a chronic autoimmune disease, which affects the joints and causes significant pain, impairing patient's quality of life. Strychni semen showed promising results to treat RA. However, there are increasing safety concerns in using strychni semen due to its severe toxicity. Aim and Objective: The purpose of this review is to provide insight into using Strychni semen as an alternative medicin Read More
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Novel Drug Delivery System for Curcumin: Implementation to Improve Therapeutic Efficacy against Neurological Disorders
Background: Curcumin, a hydrophobic polyphenolic compound present in Curcuma longa Linn. (Turmeric), has been used to improve various neurodegenerative conditions, including Amyotrophic lateral sclerosis, multiple sclerosis, Parkinson's disease, Prion disease, stroke, anxiety, depression, and ageing. However, the Blood-Brain Barrier (BBB) impedes the delivery of curcumin to the brain, limiting its therapeutic p Read More
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Berberine in the Treatment of Neurodegenerative Diseases and Nanotechnology Enabled Targeted Delivery
Background: Berberine (BBR), an alkaloidal compound found in many plants, is widely used for hundreds of years in the traditional system of Chinese medicine. Objective/Aim: The present review is aimed to summarize the potential of Berberine in the amelioration of various neurological disorders. Methods: The collection of data for the compilation of this review work was searched in PubMed Scopus, Google Scholar, and Read More
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Predicting Drug-Target Affinity Based on Recurrent Neural Networks and Graph Convolutional Neural Networks
Authors: Qingyu Tian, Mao Ding, Hui Yang, Caibin Yue, Yue Zhong, Zhenzhen Du, Dayan Liu, Jiali Liu and Yufeng DengBackground: Drug development requires a lot of money and time, and the outcome of the challenge is unknown. So, there is an urgent need for researchers to find a new approach that can reduce costs. Therefore, the identification of drug-target interactions (DTIs) has been a critical step in the early stages of drug discovery. These computational methods aim to narrow the search space for novel DTIs and to elucidate the fu Read More
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DL-SMILES#: A Novel Encoding Scheme for Predicting Compound Protein Affinity Using Deep Learning
Authors: Shudong Wang, Jiali Liu, Mao Ding, Yijun Gao, Dayan Liu, Qingyu Tian and Jinfu ZhuIntroduction: Drug repositioning aims to screen drugs and therapeutic goals from approved drugs and abandoned compounds that have been identified as safe. This trend is changing the landscape of drug development and creating a model of drug repositioning for new drug development. In the recent decade, machine learning methods have been applied to predict the binding affinity of compound proteins, while deep lear Read More
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A Label-Free Fluorescent AND Logic Gate Aptasensor for Carbohydrate Antigen 15-3 Detection Based on Graphene Oxide
Authors: Wenxiao Hu, Yafei Dong, Luhui Wang, Yue Wang, Mengyao Qian and Sunfan XiBackground: Molecular logic gate always makes use of fluorescent dyes to realize fluorescence signals. The labeling of the fluorophore is relatively expensive, resulting in low yield, and singly labeled impurities affect the affinity between the target and the aptamer. Label-free fluorescent aptamer biosensor strategy has attracted widespread interest due to lower cost and simplicity. Objective: Herein, we have designed an Read More
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Water Mapping and Scoring Approaches to Predict the Role of Hydration Sites in the Binding Affinity of PAK1 Inhibitors
Aim: This study aims to develop and establish a computational model that can identify potent molecules for p21-activating kinase 1 (PAK1) Background: PAK1 is a well-established drug target that has been explored for various therapeutic interventions. Control of this protein requires an indispensable inhibitor to curb the structural changes and subsequent activation of signalling effectors responsible for the progression of Read More
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Structural Insights into the IL12:IL12 Receptor Complex Assembly by Molecular Modeling, Docking, and Molecular Dynamics Simulation
Authors: Sakshi Singh and Geeta RaiBackground: Interleukin-12 receptor (IL12R) is a type I cytokine receptor that can promote hematopoiesis and regulate innate and adaptive immunity. It binds with the IL12 ligand, which activates the IL-12 signaling pathway that triggers hematopoietic progenitor cell proliferation and differentiation process. The structure of IL12:IL12R complex is not known. Objective: The present work describes a de novo computation Read More
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The Life Cycle and in silico Elucidation of Non-structural Replicating Proteins of HCV Through a Pharmacoinformatics Approach
Authors: Rana A. Tahir, Sumera Mughal, Amina Nazir, Asma Noureen, Ayesha Jawad, Muhammad Waqas and Sheikh Arslan SehgalBackground: Hepatitis C virus (HCV) is an enveloped and positive-stranded RNA virus that is a major causative agent of chronic liver diseases worldwide. HCV has become the main cause of liver transplantations and there is no effective drug for all hepatitis genotypes. Elucidation of the life cycle and non-structural proteins of HCV, involved in viral replication, are attractive targets for the development of antiviral drugs.. Meth Read More
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Repositioning of RdRp Inhibitors Against HCV NS5B Polymerase Utilizing Structure-Based Molecular Docking
Authors: Heena Tarannum and Sisir NandiObjective: Hepatitis C Virus (HCV) is very dreadful as it can attack an estimated 71 million people around the world. The World Health Organization (WHO) reported that every year about 399000 people die due to HCV caused by chronic cirrhosis and liver cancer globally. There are many drugs available for the treatment of HCV. But drug resistance and toxicity are major issues. The quest for potential drugs utilizing repositioning Read More
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Characterization of Piezoelectric Properties of Ag-NPs Doped PVDF Nanocomposite Fibres Membrane Prepared by Near Field Electrospinning
Background: In this study, Near-field electrospinning (NFES) technique is used with a cylindrical collector to fabricate a large area permanent piezoelectric micro and nanofibers by a prepared solution. NFES requires a small electric field to fabricate fibers Objective: The objective of this paper to investigate silver nanoparticle (Ag-NP)/ Polyvinylidene fluoride (PVDF) composite as the best piezoelectric material with improve Read More
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A Nanoinformatics Approach to Evaluate the Pharmacological Properties of Nanoparticles for the Treatment of Alzheimer’s Disease
Background: Alzheimer’s disease is a destructive nervous system disease which causes structural, biochemical and electrical abnormalities inside the human brain and results due to genetic and various environmental factors. Traditional therapeutic agents of Alzheimer’s disease such as tacrine and physostigmine have been found to cause adverse effects to the nervous system and gastrointestinal tract. Nanomaterials lik Read More
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The Screening of Phytochemicals Against NS5 Polymerase to Treat Zika Virus Infection: Integrated Computational Based Approach
Authors: Abdur Rehman, Usman A. Ashfaq, Muhammad Rizwan Javed, Farah Shahid, Fatima Noor and Sidra AslamBackground: The recent Zika Virus (ZIKV) outbreak provides a spur for new, efficient, and safe anti-Zika Virus agents. RNA-dependent RNA polymerase (RdRp) is critical amongst the seven non-structural proteins for viral replication and considered an attractive drug target. Methods: In this study, molecular docking approach was used to rationally screen the library of 5000 phytochemicals to find inhibitors against NS5 R Read More
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Association of Metabolic Syndrome with the Number of Breastfed Children in Postmenopausal Korean Women
Authors: Jeonghee Hwang and Jeonghee ChiBackground: Metabolic syndrome is closely related to cardiovascular disease, and the prevalence of metabolic syndrome in postmenopausal women is increasing rapidly. Objective: The purpose of this study is to investigate the association between the number of breastfed children and the risk factors for metabolic syndrome in postmenopausal women and to evaluate the association between metabolic syndrome and bone Read More
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Volumes & issues
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Volume 28 (2025)
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Volume 27 (2024)
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Volume 26 (2023)
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Volume 25 (2022)
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Volume 24 (2021)
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Volume 23 (2020)
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Volume 22 (2019)
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Volume 21 (2018)
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Volume 20 (2017)
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Volume 19 (2016)
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Volume 18 (2015)
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Volume 17 (2014)
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Volume 16 (2013)
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Volume 15 (2012)
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Volume 14 (2011)
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Volume 13 (2010)
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Volume 12 (2009)
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Volume 11 (2008)
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Volume 10 (2007)
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Volume 9 (2006)
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Volume 8 (2005)
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Volume 7 (2004)
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Volume 6 (2003)
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Volume 5 (2002)
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Volume 4 (2001)
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Volume 3 (2000)
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Label-Free Detection of Biomolecular Interactions Using BioLayer Interferometry for Kinetic Characterization
Authors: Joy Concepcion, Krista Witte, Charles Wartchow, Sae Choo, Danfeng Yao, Henrik Persson, Jing Wei, Pu Li, Bettina Heidecker, Weilei Ma, Ram Varma, Lian-She Zhao, Donald Perillat, Greg Carricato, Michael Recknor, Kevin Du, Huddee Ho, Tim Ellis, Juan Gamez, Michael Howes, Janette Phi-Wilson, Scott Lockard, Robert Zuk and Hong Tan
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