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- Volume 20, Issue 6, 2024
Current Computer - Aided Drug Design - Volume 20, Issue 6, 2024
Volume 20, Issue 6, 2024
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Automation of Drug Discovery through Cutting-edge In-silico Research in Pharmaceuticals: Challenges and Future Scope
Authors: Smita Singh, Pranjal K. Singh, Kapil Sachan, Mukesh Kumar and Poonam BhardwajThe rapidity and high-throughput nature of in silico technologies make them advantageous for predicting the properties of a large array of substances. In silico approaches can be used for compounds intended for synthesis at the beginning of drug development when there is either no or very little compound available. In silico approaches can be used for impurities or degradation products. Quantifying drugs and related Read More
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Efficacy and Safety of PARP Inhibitor Therapy in Advanced Ovarian Cancer: A Systematic Review and Network Meta-analysis of Randomized Controlled Trials
Authors: Juying Chen, Xiaozhe Wu, Hongzhe Wang, Xiaoshan Lian, Bing Li and Xiangbo ZhanAims: This study aims to evaluate the efficacy and safety of PARP inhibitor therapy in advanced ovarian cancer and identify the optimal treatment for the survival of patients. Background: The diversity of PARP inhibitors makes clinicians confused about the optimal strategy and the most effective BRCAm mutation-based regimen for the survival of patients with advanced ovarian cancer. Objectives: The objective of this stu Read More
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Targets and Mechanisms of Xuebijing in the Treatment of Acute Kidney Injury Associated with Sepsis: A Network Pharmacology-based Study
Authors: Jing Wang, Chengyu Luo, Mengling Luo, Siwen Zhou and Guicheng KuangIntroduction: Sepsis is a state of the systemic inflammatory response of the host induced by infection, frequently affecting numerous organs and producing varied degrees of damage. The most typical consequence of sepsis is sepsis-associated acute kidney injury(SA-AKI). Xuebijing is developed based on XueFuZhuYu Decoction. Five Chinese herbal extracts, including Carthami Flos, Radix Paeoniae Rubra, Chuanxiong R Read More
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Molecular Docking and Molecular Dynamics Simulation of New Potential JAK3 Inhibitors
Authors: Qidi Zhong, Jiarui Qin, Kaihui Zhao, Lihong Guo and Dongmei LiIntroduction: JAK3 kinase inhibitor has become an effective means to treat tumors and autoimmune diseases. Methods: In this study, molecular docking and molecular dynamics simulation were used to study the theoretical interaction mechanism between 1-phenylimidazolidine-2-one molecules and JAK3 protein. Results: The results of molecular docking showed that the six 1-phenylimidazolidine-2-one derivatives obtai Read More
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Unearthing Insights into Metabolic Syndrome by Linking Drugs, Targets, and Gene Expressions Using Similarity Measures and Graph Theory
Authors: Alwaz Zafar, Bilal Wajid, Ans Shabbir, Fahim Gohar Awan, Momina Ahsan, Sarfraz Ahmad, Imran Wajid, Faria Anwar and Fazeelat MazharAims and Objectives: Metabolic syndrome (MetS) is a group of metabolic disorders that includes obesity in combination with at least any two of the following conditions, i.e., insulin resistance, high blood pressure, low HDL cholesterol, and high triglycerides level. Treatment of this syndrome is challenging because of the multiple interlinked factors that lead to increased risks of type-2 diabetes and cardiovascular diseases. This s Read More
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Discovery of a Potential Allosteric Site in the SARS-CoV-2 Spike Protein and Targeting Allosteric Inhibitor to Stabilize the RBD Down State using a Computational Approach
Authors: Tong Li, Zheng Yan, Wei Zhou, Qun Liu, Jinfeng Liu and Haibing HuaBackground: The novel coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led to a worldwide public health crisis. At present, the development of effective drugs and/or related therapeutics is still the most urgent and important task for combating the virus. The viral entry and associated infectivity mainly rely on its envelope spike protein to recognize and bind to Read More
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Predicting Antitumor Activity of Anthrapyrazole Derivatives using Advanced Machine Learning Techniques
Authors: Marcin Gackowski, Robert Pluskota and Marcin KobaBackground: Anthrapyrazoles are a new class of antitumor agents and successors to anthracyclines possessing a broad range of antitumor activity in various model tumors. Objectives: The present study introduces novel QSAR models for the prediction of antitumor activity of anthrapyrazole analogues. Methods: The predictive performance of four machine learning algorithms, namely artificial neural networks, boosted trees, Read More
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Hibiscus sabdariffa Linn. Extract Increases the mRNA Expression of the Arcuate Nucleus Leptin Receptor and is Predicted in silico as an Anti-obesity Agent
Authors: Neng T. Kartinah, Suci Anggraini, Fadilah Fadilah and Rickie RickieBackground: Leptin is predominant in regulating body weight by stimulating energy expenditure through its neuronal action in the brain. Moreover, it is projected to adipose tissue and induces adipocyte browning by activating the β3-adrenergic receptor (β3AR). However, the expression of leptin receptor (Lep-R) and β3AR in people with obesity is downregulated. Aim: We hypothesized that Hibiscus sabdariffa Linn. extract (HSE) w Read More
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Unveiling the Anti-convulsant Potential of Novel Series of 1,2,4-Triazine- 6H-Indolo[2,3-b]quinoline Derivatives: In Silico Molecular Docking, ADMET, DFT, and Molecular Dynamics Exploration
Authors: Hariram Singh and Devender PathakBackground: Epilepsy is a chronic neurological disorder caused by irregular electrical activity in the brain. To manage this disorder effectively, it is imperative to identify potential pharmacological targets and to understand the pathophysiology of epilepsy in depth. Objective: This research aimed to identify promising leads from a library of 1,2,4-triazine-6Hindolo[ 2,3-b]quinoline derivatives and optimize them using in silico and dyn Read More
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Computational Studies and Antimicrobial Activity of 1-(benzo[d]oxazol-2- yl)-3,5-diphenylformazan Derivatives
Background: Due to the biological importance of the benzoxazole derivatives, some 1- (benzo[d]oxazol-2-yl)-3,5-diphenyl-formazans 4a-f were synthesized and screened for in-silico studies and in-vitro antibacterial activity. Methods: The benzo[d]oxazole-2-thiol (1) was prepared by reacting with 2-aminophenol and carbon disulfide in the presence of alcoholic potassium hydroxide. Then 2-hydrazinylbenzo[d] oxazole (2) was s Read More
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Machine Learning Algorithms Identify Target Genes and the Molecular Mechanism of Matrine against Diffuse Large B-cell Lymphoma
Authors: Yidong Zhu, Zhongping Ning, Ximing Li and Zhikang LinBackground: Diffuse large B-cell lymphoma (DLBCL) is the most common type of non-Hodgkin's lymphoma worldwide. Novel treatment strategies are still needed for this disease. Objective: The present study aimed to systematically explore the potential targets and molecular mechanisms of matrine in the treatment of DLBCL. Methods: Potential matrine targets were collected from multiple platforms. Microarray data and clini Read More
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Network Pharmacology, Molecular Docking and Experimental Verification Revealing the Mechanism of Fule Cream against Childhood Atopic Dermatitis
Background: The Fule Cream (FLC) is an herbal formula widely used for the treatment of pediatric atopic dermatitis (AD), however, the main active components and functional mechanisms of FLC remain unclear. This study performed an initial exploration of the potential acting mechanisms of FLC in childhood AD treatment through analyses of an AD mouse model using network pharmacology, molecular docking technology, an Read More
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A Computational Approach for Designing and Validating Small Interfering RNA against SARS-CoV-2 Variants
Authors: Kishore Dhotre, Debashree Dass, Anwesha Banerjee, Vijay Nema and Anupam MukherjeeAims: The aim of this study is to develop a novel antiviral strategy capable of efficiently targeting a broad set of SARS-CoV-2 variants. Background: Since the first emergence of SARS-CoV-2, it has rapidly transformed into a global pandemic, posing an unprecedented threat to public health. SARS-CoV-2 is prone to mutation and continues to evolve, leading to the emergence of new variants capable of escaping immune prote Read More
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Deciphering the Underlying Mechanisms of Sanleng-Ezhu for the Treatment of Idiopathic Pulmonary Fibrosis Based on Network Pharmacology and Single-cell RNA Sequencing Data
Authors: Xianqiang Zhou, Fang Tan, Suxian Zhang and Tiansong ZhangAims: To decipher the underlying mechanisms of Sanleng-Ezhu for the treatment of idiopathic pulmonary fibrosis based on network pharmacology and single-cell RNA sequencing data. Background: Idiopathic Pulmonary Fibrosis (IPF) is the most common type of interstitial lung disease. Although the combination of herbs Sanleng (SL) and Ezhu (EZ) has shown reliable efficacy in the management of IPF, its underlying mechanisms r Read More
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Banxia Xiexin Decoction Prevents HT22 Cells from High Glucose-induced Neurotoxicity via JNK/SIRT1/Foxo3a Signaling Pathway
More LessBackground: Type 2 diabetes-associated cognitive dysfunction (DCD) is a chronic complication of diabetes that has gained international attention. The medicinal compound Banxia Xiexin Decoction (BXXXD) from traditional Chinese medicine (TCM) has shown potential in improving insulin resistance, regulating endoplasmic reticulum stress (ERS), and inhibiting cell apoptosis through various pathways. However, the specific Read More
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The Diagnostic Features of Peripheral Blood Biomarkers in Identifying Osteoarthritis Individuals: Machine Learning Strategies and Clinical Evidence
More LessBackground: People with osteoarthritis place a huge burden on society. Early diagnosis is essential to prevent disease progression and to select the best treatment strategy more effectively. In this study, the aim was to examine the diagnostic features and clinical value of peripheral blood biomarkers for osteoarthritis. Objective: The goal of this project was to investigate the diagnostic features of peripheral blood and immu Read More
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Molecular Modelling of Resveratrol Derivatives with SIRT1 for the Stimulation of Deacetylase Activity
Authors: Mozhdeh Zamani, Pooneh Mokarram, Mehdi Jamshidi, Morvarid Siri and Hadi GhasemiBackground: Resveratrol is a polyphenol that is found in plants and has been proposed to have a potential therapeutic effect through the activation of SIRT1, which is a crucial member of the mammalian NAD+ -dependent deacetylases. However, how its activity is enhanced toward specific substrates by resveratrol derivatives has not been studied. This study aimed to evaluate the types of interaction of resveratrol and its de Read More
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Identification of Prognostic Markers and Potential Therapeutic Targets using Gene Expression Profiling and Simulation Studies in Pancreatic Cancer
Authors: Samvedna Singh, Aman C. Kaushik, Himanshi Gupta, Divya Jhinjharia and Shakti SahiBackground: Pancreatic ductal adenocarcinoma (PDAC) has a 5-year relative survival rate of less than 10% making it one of the most fatal cancers. A lack of early measures of prognosis, challenges in molecular targeted therapy, ineffective adjuvant chemotherapy, and strong resistance to chemotherapy cumulatively make pancreatic cancer challenging to manage. Objective: The present study aims to enhance understandi Read More
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The Potential Roles of Ficus carica Extract in the Management of COVID-19 Viral Infections: A Computer-aided Drug Design Study
Introduction: The conventional processes of drug discovery are too expensive, timeconsuming and the success rate is limited. Searching for alternatives that have evident safety and potential efficacy could save money, time and improve the current therapeutic regimen outcomes. Methods: Clinical phytotherapy implies the use of extracts of natural origin for prophylaxis, treatment, or management of human disord Read More
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Fluorinated Diaryl Sulfonamides: Molecular Modeling, Synthesis, and In Vitro Validation as New CETP Inhibitors
Authors: Reema A. Khalaf, Azhar Shalluf and Maha HabashBackground: Hyperlipidemia, a cardiovascular disease risk factor, is characterized by a rise in low-density lipoprotein (LDL), triglycerides and total cholesterol, and a decrease in high-density lipoprotein (HDL). Cholesteryl ester transfer protein (CETP) enables the transfer of cholesteryl ester from HDL to LDL and very low-density lipoprotein. Objectives: CETP inhibition is a promising approach to prevent and treat cardiovascula 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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