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- Volume 7, Issue 5, 2006
Current Protein and Peptide Science - Volume 7, Issue 5, 2006
Volume 7, Issue 5, 2006
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Editorial [Hot Topic: Structure-Based Virtual Ligand Screening (Guest Editor: Bruno O. Villoutreix)]
More LessThe last two decades have witnessed the dawn of a new era of “in silico-based” biology. These methods have been playing a major role, from investigation of the genomes to the design of new therapeutic compounds or prediction of protein structures. Lately, as computer technology has become cost-effective, new ideas and concepts have emerged, such as in silico virtual ligand screening with considerations of ligand an Read More
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Receptor-Based Computational Screening of Compound Databases: The Main Docking-Scoring Engines
Authors: Olivier Sperandio, Maria A. Miteva, Francois Delfaud and Bruno O. VilloutreixThe processes used by academic and industrial scientists to discover new drugs have recently experienced a true renaissance with many new and exciting techniques. The number of protein structures and/or chemical ligands is constantly growing, through the use of parallel chemistry, X-ray crystallography, NMR or homology modeling methods and so is the theoretical understanding of protein-ligand interactions. As such, str Read More
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Methods for the Prediction of Protein-Ligand Binding Sites for Structure-Based Drug Design and Virtual Ligand Screening.
Authors: Alasdair T. R. Laurie and Richard M. JacksonStructure Based Drug Design (SBDD) is a computational approach to lead discovery that uses the threedimensional structure of a protein to fit drug-like molecules into a ligand binding site to modulate function. Identifying the location of the binding site is therefore a vital first step in this process, restricting the search space for SBDD or virtual screening studies. The detection and characterisation of functional sites on prot Read More
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Scoring Functions for Protein-Ligand Docking
By Ajay N. JainVirtual screening by molecular docking has become established as a method for drug lead discovery and optimization. All docking algorithms make use of a scoring function in combination with a method of search. Two theoretical aspects of scoring function performance dominate operational performance. The first is the degree to which a scoring function has a global extremum within the ligand pose landscape at the proper l Read More
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eHiTS: An Innovative Approach to the Docking and Scoring Function Problems
Authors: Zsolt Zsoldos, Darryl Reid, Aniko Simon, Bashir S. Sadjad and A. Peter JohnsonVirtual Ligand Screening (VLS) has become an integral part of the drug design process for many pharmaceutical companies. In protein structure based VLS the aim is to find a ligand that has a high binding affinity to the target receptor whose 3D structure is known. This review will describe the docking tool eHiTS. eHiTS is an exhaustive and systematic docking tool which contains many automated features that simplify the dr Read More
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Structure Selection for Protein Kinase Docking and Virtual Screening:Homology Models or Crystal Structures?
Authors: William M. Rockey and Adrian H. ElcockThere is currently far more sequence information than structural information available, and the ability to use homology models for virtual screening applications is desirable in many cases where structures have not yet been solved. This review focuses on the application of protein kinase homology models for virtual screening use. In addition to reviewing previous cases in which kinase homology models have been used in Read More
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Using Silico Methods Predicting Ligands for Orphan GPCRs
Authors: Zhenran Jiang and Yanhong ZhouThe G-protein coupled receptor (GPCR) superfamily is one of the most important drug target classes for the pharmaceutical industry. The completion of the human genome project has revealed that there are more than 300 potential GPCR targets of interest. The identification of their natural ligands can gain significant insights into regulatory mechanisms of cellular signaling networks and provide unprecedented opport Read More
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Latest Development in Drug Discovery on G Protein-coupled Receptors
More LessG protein-coupled receptors (GPCRs) represent the family of proteins with the highest impact from social, therapeutic and economic point of view. Today, more than 50% of drug targets are based on GPCRs and the annual worldwide sales exceeds $50 billion. GPCRs are involved in all major disease areas such as cardiovascular, metabolic, neurodegenerative, psychiatric, cancer and infectious diseases. The classical drug disc Read More
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Volumes & issues
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Volume 26 (2025)
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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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