Modeling Protein Conformational Dynamics Using Kinetic Network Models

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ISBN 13 :
Total Pages : 151 pages
Book Rating : 4.:/5 (881 download)

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Book Synopsis Modeling Protein Conformational Dynamics Using Kinetic Network Models by : Zhaoning Cui

Download or read book Modeling Protein Conformational Dynamics Using Kinetic Network Models written by Zhaoning Cui and published by . This book was released on 2013 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Protein Conformational Dynamics

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Publisher : Springer Science & Business Media
ISBN 13 : 3319029703
Total Pages : 488 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Protein Conformational Dynamics by : Ke-li Han

Download or read book Protein Conformational Dynamics written by Ke-li Han and published by Springer Science & Business Media. This book was released on 2014-01-20 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses how biological molecules exert their function and regulate biological processes, with a clear focus on how conformational dynamics of proteins are critical in this respect. In the last decade, the advancements in computational biology, nuclear magnetic resonance including paramagnetic relaxation enhancement, and fluorescence-based ensemble/single-molecule techniques have shown that biological molecules (proteins, DNAs and RNAs) fluctuate under equilibrium conditions. The conformational and energetic spaces that these fluctuations explore likely contain active conformations that are critical for their function. More interestingly, these fluctuations can respond actively to external cues, which introduces layers of tight regulation on the biological processes that they dictate. A growing number of studies have suggested that conformational dynamics of proteins govern their role in regulating biological functions, examples of this regulation can be found in signal transduction, molecular recognition, apoptosis, protein / ion / other molecules translocation and gene expression. On the experimental side, the technical advances have offered deep insights into the conformational motions of a number of proteins. These studies greatly enrich our knowledge of the interplay between structure and function. On the theoretical side, novel approaches and detailed computational simulations have provided powerful tools in the study of enzyme catalysis, protein / drug design, protein / ion / other molecule translocation and protein folding/aggregation, to name but a few. This work contains detailed information, not only on the conformational motions of biological systems, but also on the potential governing forces of conformational dynamics (transient interactions, chemical and physical origins, thermodynamic properties). New developments in computational simulations will greatly enhance our understanding of how these molecules function in various biological events.

Metastability and Markov State Models in Molecular Dynamics

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Publisher : American Mathematical Soc.
ISBN 13 : 0821843591
Total Pages : 141 pages
Book Rating : 4.8/5 (218 download)

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Book Synopsis Metastability and Markov State Models in Molecular Dynamics by : Christof Schütte

Download or read book Metastability and Markov State Models in Molecular Dynamics written by Christof Schütte and published by American Mathematical Soc.. This book was released on 2013-12-26 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applications in modern biotechnology and molecular medicine often require simulation of biomolecular systems in atomic representation with immense length and timescales that are far beyond the capacity of computer power currently available. As a consequence, there is an increasing need for reduced models that describe the relevant dynamical properties while at the same time being less complex. In this book the authors exploit the existence of metastable sets for constructing such a reduced molecular dynamics model, the so-called Markov state model (MSM), with good approximation properties on the long timescales. With its many examples and illustrations, this book is addressed to graduate students, mathematicians, and practical computational scientists wanting an overview of the mathematical background for the ever-increasing research activity on how to construct MSMs for very different molecular systems ranging from peptides to proteins, from RNA to DNA, and via molecular sensors to molecular aggregation. This book bridges the gap between mathematical research on molecular dynamics and its practical use for realistic molecular systems by providing readers with tools for performing in-depth analysis of simulation and data-analysis methods. Titles in this series are co-published with the Courant Institute of Mathematical Sciences at New York University.

Simplified Models for Simulating Replica Exchange Simulations and Recovering Kinetics of Protein Folding

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Publisher :
ISBN 13 :
Total Pages : 110 pages
Book Rating : 4.:/5 (499 download)

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Book Synopsis Simplified Models for Simulating Replica Exchange Simulations and Recovering Kinetics of Protein Folding by : Weihua Zheng

Download or read book Simplified Models for Simulating Replica Exchange Simulations and Recovering Kinetics of Protein Folding written by Weihua Zheng and published by . This book was released on 2009 with total page 110 pages. Available in PDF, EPUB and Kindle. Book excerpt: Protein folding is a fundamental problem in modern structural biology. The nature of the problem poses challenges to the understanding of the process via computer simulations. One of the challenges in the computer simulation of proteins at the atomic level is the efficiency of sampling conformational space. Replica exchange (RE) methods are widely employed to alleviate the difficulty. To study how to best employ RE to protein folding and binding problems, we constructed a kinetic network model for RE studies of protein folding and used this simplified model to carry out "simulations of simulations" to analyze how the underlying temperature dependence of the conformational kinetics and the basic parameters of RE all interact to affect the number of folding transitions observed. When protein folding follows anti-Arrhenius kinetics, we observe a speed limit for the number of folding transitions observed at the low temperature of interest, which depends on the maximum of the harmonic mean of the folding and unfolding transition rates at high temperature. The efficiency of temperature RE was also studied on a more complicated and realistic continuous two-dimensional potential. Comparison of the efficiencies obtained using the continuous and discrete models makes it possible to identify non-Markovian effects which slow down equilibration of the RE ensemble on the more complex continuous potential. In particular, the efficiency of RE is limited by the timescale of conformational relaxation within free energy basins. The other challenges we are facing in all-atom simulations is to obtain meaningful information on the slow kinetics and pathways of folding. We present a kinetic network model which recover the kinetics using RE-generated states as the nodes of a kinetic network. Choosing the appropriate neighbors and the microscopic rates between the neighbors, the correct kinetics of the system can be recovered by running a simulation on the network.

Coarse-grained Modeling of Protein Dynamics Using Elastic Network Models

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Publisher :
ISBN 13 :
Total Pages : 206 pages
Book Rating : 4.:/5 (856 download)

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Book Synopsis Coarse-grained Modeling of Protein Dynamics Using Elastic Network Models by : Silke Andrea Wieninger

Download or read book Coarse-grained Modeling of Protein Dynamics Using Elastic Network Models written by Silke Andrea Wieninger and published by . This book was released on 2013 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt:

An Introduction to Markov State Models and Their Application to Long Timescale Molecular Simulation

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Publisher : Springer Science & Business Media
ISBN 13 : 9400776063
Total Pages : 148 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis An Introduction to Markov State Models and Their Application to Long Timescale Molecular Simulation by : Gregory R. Bowman

Download or read book An Introduction to Markov State Models and Their Application to Long Timescale Molecular Simulation written by Gregory R. Bowman and published by Springer Science & Business Media. This book was released on 2013-12-02 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this book volume is to explain the importance of Markov state models to molecular simulation, how they work, and how they can be applied to a range of problems. The Markov state model (MSM) approach aims to address two key challenges of molecular simulation: 1) How to reach long timescales using short simulations of detailed molecular models. 2) How to systematically gain insight from the resulting sea of data. MSMs do this by providing a compact representation of the vast conformational space available to biomolecules by decomposing it into states sets of rapidly interconverting conformations and the rates of transitioning between states. This kinetic definition allows one to easily vary the temporal and spatial resolution of an MSM from high-resolution models capable of quantitative agreement with (or prediction of) experiment to low-resolution models that facilitate understanding. Additionally, MSMs facilitate the calculation of quantities that are difficult to obtain from more direct MD analyses, such as the ensemble of transition pathways. This book introduces the mathematical foundations of Markov models, how they can be used to analyze simulations and drive efficient simulations, and some of the insights these models have yielded in a variety of applications of molecular simulation.

Normal Mode Analysis

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Publisher : CRC Press
ISBN 13 : 142003507X
Total Pages : 448 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Normal Mode Analysis by : Qiang Cui

Download or read book Normal Mode Analysis written by Qiang Cui and published by CRC Press. This book was released on 2005-12-12 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rapid developments in experimental techniques continue to push back the limits in the resolution, size, and complexity of the chemical and biological systems that can be investigated. This challenges the theoretical community to develop innovative methods for better interpreting experimental results. Normal Mode Analysis (NMA) is one such technique

Efficient Sampling of Protein Conformational Dynamics and Prediction of Mutation Effects

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Publisher :
ISBN 13 :
Total Pages : 166 pages
Book Rating : 4.:/5 (128 download)

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Book Synopsis Efficient Sampling of Protein Conformational Dynamics and Prediction of Mutation Effects by : Hongbin Wan

Download or read book Efficient Sampling of Protein Conformational Dynamics and Prediction of Mutation Effects written by Hongbin Wan and published by . This book was released on 2019 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: Molecular dynamics (MD) simulation is a powerful tool enabling researchers to gain insight into biological processes at the atomic level. There have been many advancements in both hardware and software in the last decade to both accelerate MD simulations and increase their predictive accuracy; however, MD simulations are typically limited to the microsecond timescale, whereas biological motions can take seconds or longer. Because of this, it remains extremely challenging to restrain simulations using ensemble-averaged experimental observables. Among various approaches to elucidate the kinetics of molecular simulations, Markov State Models (MSMs) have proven their ability to extract both kinetic and thermodynamic properties of long-timescale motions using ensembles of shorter MD simulation trajectories. In this dissertation, we have implemented an MSM path-entropy method, based on the idea of maximum-caliber, to efficiently predict the changes in protein folding behavior upon mutation. Next, we explore the accuracy of different MSM estimators applied to trajectory data obtained by adaptive seeding, in which new rounds of short MD simulations are collected from states of interest, and propose a simple method to build accurate models by population re-weighting of the transition count matrix. Finally, we explore ways to reconcile simulated ensembles with Hydrogen/Deuterium exchange (HDX) protection measurements, by constructing multi-ensemble Markov State Models (MEMMs) from biased MD simulations, and reconciling these predictions against the experimental data using the BICePs (Bayesian Inference of Conformational Populations) algorithm. We apply this approach to model the native-state conformational ensemble of apomyoglobin at neutral pH.

Investigating Conformational Transitions of Proteins by Coarse-grained Elastic Network Models

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ISBN 13 :
Total Pages : 96 pages
Book Rating : 4.:/5 (832 download)

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Book Synopsis Investigating Conformational Transitions of Proteins by Coarse-grained Elastic Network Models by : Mustafa Tekpinar

Download or read book Investigating Conformational Transitions of Proteins by Coarse-grained Elastic Network Models written by Mustafa Tekpinar and published by . This book was released on 2012 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proteins are large molecular machines. Many of these machines carry out conformationaltransitions to perform function. It is very difficult to determine all metastable proteinconformations experimentally. Therefore, computational methods have been developed toinvestigate metastable protein conformations and conformational transitions. For most ofproteins, atomistic molecular dynamics cannot reach the time scales of conformationaltransitions, which are typically beyond microseconds. The large size of proteins is anotherobstacle in atomistic molecular dynamics simulations. Coarse-grained elastic network modelscan provide an alternative to overcome the time scale and size problems. In this dissertation, we have investigated conformational transitions of proteins by using modified elasticnetwork models. These models can be applied in two ways. First, they allow us to analyzeconformational transition pathways and deduce the dynamic order of structural events. Second, they enable us to build models for unknown protein conformations by incorporatingexperimental data. For the first application, a transition pathway modeling method callediENM will be presented in Chapter 2. For the second application, a flexible fitting methodbased on small angle X-ray scattering (SAXS) data will be discussed in Chapter 3. Ourmethods will be compared to alternative methods and they will be validated by experimentaldata.

Protein Actions

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Publisher : Garland Science
ISBN 13 : 1351815008
Total Pages : pages
Book Rating : 4.3/5 (518 download)

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Book Synopsis Protein Actions by : Ken Dill

Download or read book Protein Actions written by Ken Dill and published by Garland Science. This book was released on 2017-09-19 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Protein Actions: Principles and Modeling is aimed at graduates, advanced undergraduates, and any professional who seeks an introduction to the biological, chemical, and physical properties of proteins. Broadly accessible to biophysicists and biochemists, it will be particularly useful to student and professional structural biologists and molecular biophysicists, bioinformaticians and computational biologists, biological chemists (particularly drug designers) and molecular bioengineers. The book begins by introducing the basic principles of protein structure and function. Some readers will be familiar with aspects of this, but the authors build up a more quantitative approach than their competitors. Emphasizing concepts and theory rather than experimental techniques, the book shows how proteins can be analyzed using the disciplines of elementary statistical mechanics, energetics, and kinetics. These chapters illuminate how proteins attain biologically active states and the properties of those states. The book ends with a synopsis the roles of computational biology and bioinformatics in protein science.

Statistical Models of Protein Conformational Dynamics

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (944 download)

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Book Synopsis Statistical Models of Protein Conformational Dynamics by : Robert T. McGibbon

Download or read book Statistical Models of Protein Conformational Dynamics written by Robert T. McGibbon and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding the conformational dynamics of biological macromolecules at atomic resolution remains a grand challenge at the intersection of biology, chemistry, and physics. Molecular dynamics (MD) -- which refers to computational simulations of the atomic-level interactions and equations of motions that give rise to these dynamics -- is a powerful approach that now produces immense quantities of time series data on the dynamics of these systems. Here, I describe a variety of new methodologies for analyzing the rare events in these MD data sets in an automatic, statically-sound manner, and constructing the appropriate simplified models of these processes. These techniques are rooted in the theory of reversible Markov chains. They include new classes of Markov state models, hidden Markov models, and reaction coordinate finding algorithms, with applications to protein folding and conformational change. A particular focus herein is on methods for model selection and model comparison, and computationally efficient algorithms.

Computational Approaches for Understanding Dynamical Systems: Protein Folding and Assembly

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Publisher : Academic Press
ISBN 13 : 0128211350
Total Pages : 552 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Computational Approaches for Understanding Dynamical Systems: Protein Folding and Assembly by :

Download or read book Computational Approaches for Understanding Dynamical Systems: Protein Folding and Assembly written by and published by Academic Press. This book was released on 2020-03-18 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Approaches for Understanding Dynamical Systems: Protein Folding and Assembly, Volume 170 in the Progress in Molecular Biology and Translational Science series, provides the most topical, informative and exciting monographs available on a wide variety of research topics. The series includes in-depth knowledge on the molecular biological aspects of organismal physiology, with this release including chapters on Pairwise-Additive and Polarizable Atomistic Force Fields for Molecular Dynamics Simulations of Proteins, Scale-consistent approach to the derivation of coarse-grained force fields for simulating structure, dynamics, and thermodynamics of biopolymers, Enhanced sampling and free energy methods, and much more. Includes comprehensive coverage on molecular biology Presents ample use of tables, diagrams, schemata and color figures to enhance the reader's ability to rapidly grasp the information provided Contains contributions from renowned experts in the field

Understanding Protein Dynamics, Binding and Allostery for Drug Design

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Publisher : Frontiers Media SA
ISBN 13 : 2889668487
Total Pages : 276 pages
Book Rating : 4.8/5 (896 download)

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Book Synopsis Understanding Protein Dynamics, Binding and Allostery for Drug Design by : Guang Hu

Download or read book Understanding Protein Dynamics, Binding and Allostery for Drug Design written by Guang Hu and published by Frontiers Media SA. This book was released on 2021-06-08 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt:

MPI

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Publisher : MIT Press
ISBN 13 : 9780262571234
Total Pages : 372 pages
Book Rating : 4.5/5 (712 download)

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Book Synopsis MPI by : William Gropp

Download or read book MPI written by William Gropp and published by MIT Press. This book was released on 1998 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Cooperative Allosteric Ligand Binding in Calmodulin

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ISBN 13 :
Total Pages : 184 pages
Book Rating : 4.:/5 (123 download)

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Book Synopsis Cooperative Allosteric Ligand Binding in Calmodulin by : Prithviraj Nandigrami

Download or read book Cooperative Allosteric Ligand Binding in Calmodulin written by Prithviraj Nandigrami and published by . This book was released on 2017 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: Conformational dynamics is often essential for a protein's function. For example, proteins are able to communicate the effect of binding at one site to a distal region of the molecule through changes in its conformational dynamics. This so called allosteric coupling fine tunes the sensitivity of ligand binding to changes in concentration. A conformational change between a "closed" (apo) and an "open" (holo) conformation upon ligation often produces this coupling between binding sites. Enhanced sensitivity between the unbound and bound ensembles leads to a sharper binding curve. There are two basic conceptual frameworks that guide our visualization about ligand binding mechanisms. First, a ligand can stabilize the unstable "open" state from a dynamic ensemble of conformations within the unbound basin. This binding mechanism is called conformational selection. Second, a ligand can weakly bind to the low-affinity "closed" state followed by a conformational transition to the "open" state. This is called induced fit binding.In this dissertation, I focus on molecular dynamics simulations to understand microscopic origins of ligand binding cooperativity. A minimal model of allosteric binding transitions must include ligand binding/unbinding events, while capturing the transition mechanism between two distinct meta-stable free energy basins. Due in part to computational timescales limitations, work in this dissertation describes large-scale conformational transitions through a simplified, coarse-grained model based on the energy basins defined by the open and closed conformations of the protein Calmodulin (CaM). CaM is a ubiquitous calcium-binding protein consisting of two structurally similar globular domains connected by a flexible linker. The two domains of CaM, N-terminal domain (nCaM) and C-terminal domain (cCaM) consists of two helix-loop-helix motifs (the EF-hands) connected by a flexible linker. Each domain of CaM consists of two binding loops and binds 2 calcium ions each. The intact domain binds up to 4 calcium ions. The simulations use a coupled molecular dynamics/monte carlo scheme where the protein dynamics is simulated explicitly, while ligand binding/unbinding are treated implicitly. This helps us characterize complementary thermodynamic and kinetic description of calcium binding mechanism to CaM.In the model, ligand binding/unbinding events coupled with a conformational change of the protein within the grand canonical ensemble. Here, ligand concentration is controlled through the chemical potential (μ). This allows us to use a simple thermodynamic model to analyze the simulated data and quantify binding cooperativity. Simulated binding titration curves are calculated through equilibrium simulations at different values of μ.First, I study domain opening transitions of isolated nCaM and cCaM in the absence of calcium. This work is motivated by results from a recent analytic variational model that predicts distinct domain opening transition mechanism for the domains of CaM. This is a surprising result because the domains have the same folded state topology. In the simulations, I find the two domains of CaM have distinct transition mechanism over a broad range of temperature, in harmony with the analytic predictions. In particular, the simulated transition mechanism of nCaM follows a two-state behavior, while domain opening in cCaM involves global unfolding and refolding of the tertiary structure. The unfolded intermediate also appears in the landscape of nCaM, but at a higher temperature than it appears in cCaM's energy landscape. This is consistent with nCaM's higher thermal stability. Under approximate physiological conditions, majority of the sampled transitions in cCaM involves unfolding and refolding during conformational change. Kinetically, the transient unfolding and refolding in cCaM significantly slows the domain opening and closing rates in cCaM.Second, I investigate the structural origins of binding affinity and allosteric cooperativity of binding 2 calcium-ions to each domain of CaM. In my work, I predict the order of binding strength of CaM's loops. I analyze simulated binding curves within the framework of the classic Monod-Wyman-Changeux (MWC) model of allostery to extract the binding free energies to the closed and open ensembles. The simulations predict that cCaM binds calcium with higher affinity and greater cooperativity than nCaM. Where it is possible to compare, these predictions are in good agreement with experimental results. The analysis of the simulations offers a rationale for why the two domains differ in cooperativity: the higher cooperativity of cCaM is due to larger difference in affinity of its binding loops.Third, I extend the work to investigate structural origins of binding cooperativity of 4 calcium-ions to intact CaM. I characterize the microscopic cooperativities of each ligation state and provide a kinetic description of the binding mechanism. Due to the heterogeneous nature of CaM's loops, as predicted in our simulations of isolated domains, I focus on investigating the influence of this heterogeneity on the kinetic flux of binding pathways as a function of concentration. The formalism developed for Network Models of protein folding kinetics, is used to evaluate the directed flux of all possible pathways between unligated and fully loaded CaM.

Molecular Dynamics and Electrostatic Modeling of Proteins

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Publisher :
ISBN 13 :
Total Pages : 842 pages
Book Rating : 4.:/5 (58 download)

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Book Synopsis Molecular Dynamics and Electrostatic Modeling of Proteins by : Jeanmarie Guenot

Download or read book Molecular Dynamics and Electrostatic Modeling of Proteins written by Jeanmarie Guenot and published by . This book was released on 1993 with total page 842 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Biomolecular Simulations in Structure-Based Drug Discovery

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Publisher : John Wiley & Sons
ISBN 13 : 3527342656
Total Pages : 368 pages
Book Rating : 4.5/5 (273 download)

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Book Synopsis Biomolecular Simulations in Structure-Based Drug Discovery by : Francesco L. Gervasio

Download or read book Biomolecular Simulations in Structure-Based Drug Discovery written by Francesco L. Gervasio and published by John Wiley & Sons. This book was released on 2019-04-29 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide to applying the power of modern simulation tools to better drug design Biomolecular Simulations in Structure-based Drug Discovery offers an up-to-date and comprehensive review of modern simulation tools and their applications in real-life drug discovery, for better and quicker results in structure-based drug design. The authors describe common tools used in the biomolecular simulation of drugs and their targets and offer an analysis of the accuracy of the predictions. They also show how to integrate modeling with other experimental data. Filled with numerous case studies from different therapeutic fields, the book helps professionals to quickly adopt these new methods for their current projects. Experts from the pharmaceutical industry and academic institutions present real-life examples for important target classes such as GPCRs, ion channels and amyloids as well as for common challenges in structure-based drug discovery. Biomolecular Simulations in Structure-based Drug Discovery is an important resource that: -Contains a review of the current generation of biomolecular simulation tools that have the robustness and speed that allows them to be used as routine tools by non-specialists -Includes information on the novel methods and strategies for the modeling of drug-target interactions within the framework of real-life drug discovery and development -Offers numerous illustrative case studies from a wide-range of therapeutic fields -Presents an application-oriented reference that is ideal for those working in the various fields Written for medicinal chemists, professionals in the pharmaceutical industry, and pharmaceutical chemists, Biomolecular Simulations in Structure-based Drug Discovery is a comprehensive resource to modern simulation tools that complement and have the potential to complement or replace laboratory assays for better results in drug design.