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- Volume 10, Issue 3, 2014
Current Computer - Aided Drug Design - Volume 10, Issue 3, 2014
Volume 10, Issue 3, 2014
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Machine Learning in the Rational Design of Antimicrobial Peptides
Authors: Paola Rondon-Villarreal, Daniel A. Sierra and Rodrigo TorresOne of the most important public health issues is the microbial and bacterial resistance to conventional antibiotics by pathogen microorganisms. In recent years, many researches have been focused on the development of new antibiotics. Among these, antimicrobial peptides (AMPs) have raised as a promising alternative to combat antibioticresistant microorganisms. For this reason, many theoretical efforts have been done in the Read More
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Public Databases of Plant Natural Products for Computational Drug Discovery
More LessPlant natural products have been intensively investigated during the past decades with a considerable amount of generated data. Databases are subsequently developed to facilitate the management and analysis of accumulated information including plant species, chemical compounds, structures and bioactivities. With the support of databases, the screening of novel bioactivities for plant natural products can benefit fro Read More
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Inhibitor and Substrate Binding by New Delhi metallo-beta-lactamase-1: A Molecular Dynamics Studies
Authors: Yeng-Tseng Wang, Chi-Yu Lu, Tzyh-Chyuan Hour and Tian-Lu ChengThe control of beta-lactam antibiotics released through the inhibition of the New Delhi metallo-beta-lactamase 1 (NDM-1) has been identified as a potential target for the treatment of the muti-drugs resistance (MDR) bacteria disease. We have employed molecular dynamics (MD), alanine-scanning mutagenesis and molecular docking techniques to optimize the x-ray NDM-1 structure with 11 drugs (Tigecycline, BAL30072, D Read More
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Conformational Preference of Potassium Salts of N-Acylhydrazinecarbodithioates with Antifungal Activity. Combined Experimental and Theoretical Approach
Authors: Agata Siwek, Tomasz Plech, Nazar Trotsko, Urszula Kosikowska, Anna Malm, Katarzyna Dzitko and Piotr PanethIn vitro antifungal potency of a set of potassium N-acylhydrazinecarbodithioates was tested. Some of the studied salts displayed significant antifungal activity against Candida spp. at non-toxic concentration indicating a high selectivity of their anticandidal activity. In further study, on the example of conformational analysis, we have tested several force fields and semiempirical parametrizations in order to identify those th Read More
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Ibalizumab-Human CD4 Receptor Interaction: Computational Alanine Scanning Molecular Dynamics Studies
By Zhi-Yuan SuAntibody drugs are used in the treatment of many chronic diseases. Recently, however, patients and doctors have encountered problems with drug resistance, and improving the affinity of antibody drugs has therefore become a pressing issue. Ibalizumab is a humanized monoclonal antibody that binds human CD4, the primary receptor for human immunodeficiency virus type 1 (HIV-1). In this study, we sought to identify the ke Read More
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Structural Characterization of Bacillus subtilis Membrane Protein Bmr: An In Silico Approach
Authors: Amit Nargotra, Rukmankesh, Shakir Ali and Surrinder KoulEfflux pump - a membrane protein belonging to Major Facilitator (MF) family and associated with Multi Drug Resistance (MDR) has been a major factor in drug resistance of bacteria. In the era when no new effective antibiotic had been reported for years, the detailed study of these membrane proteins became imperative in order to improve the efficacy of existing drugs. The Bacillus subtilis membrane protein Bmr b Read More
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More Effective DPP4 Inhibitors as Antidiabetics Based on Sitagliptin Applied QSAR and Clinical Methods
Xanthine-based molecules such as serine protease dipeptidyl peptidase 4 (DPP4) inhibitors are compounds often used in improving glycemic control in type 2 diabetic patients and also used for their effects as mild stimulants and as bronchodilators, notably in treating asthma symptoms. Here, we aim to better understand the molecular features affecting activity of xanthine-based DPP4 inhibitors such as sitagliptin and related comp Read More
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Molecular Factors Influencing the Affinity of Flavonoid Compounds on PGlycoprotein Efflux Transporter
Authors: Rodolfo N. Vazquez, Alejandra B. Camargo, Eduardo J. Marchevsky and Juan M. LucoThe most common mechanism of the so-called multidrug resistance (MDR), is mainly associated with an over expression of P-glycoprotein (Pgp). It is an ATP-dependent transport protein that limits the intracellular accumulation of a variety of structurally unrelated compounds within various organs and normal tissues such as kidney, small intestine and the blood brain barrier. Thus, the expression of Pgp has a major impact o Read More
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Prediction of Thrombin and Factor Xa Inhibitory Activity with Associative Neural Networks
Quantitative structure-activity relationship studies on a series of selective inhibitors of thrombin and factor Xa were performed by using Associative Neural Network. To overcome the problem of overfitting due to descriptor selection, 5-fold cross-validation with variable selection in each step of the analysis was performed. The predictive ability of the models was tested through leave-one-out cross-validation, giving a Q2=0.74 - 0 Read More
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QSAR Models for the Reactivation of Sarin Inhibited Acetylcholinesterase by Quaternary Pyridinium Oximes Based on Monte Carlo Method
Monte Carlo method has been used as a computational tool for building QSAR models for the reactivation of sarin inhibited acetylcholinesterase (AChE) by quaternary pyridinium oximes. Simplified molecular input line entry system (SMILES) together with hydrogen-suppressed graph (HSG) was used to represent molecular structure. Total number of considered oximes was 46 and activity was defined as logarithm of the ACh Read More
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3D QSAR Analysis of 2-(Substituted Aryl)-Thiazolidine-4-Carboxamides as Potent Antitubercular Agents
Thiazolidine-4-carboxylic acid derivatives were recognized recently for their potent antitubercular activity. A total of sixty four thiazolidine derivatives published in the recent times were collected and 3D QSAR models were developed, using CoMFA and COMSIA with high predictability. Later, we selected three new molecules, recently synthesized in our lab and evaluated them using the developed QSAR models. The in v 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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