Download or read book Biomolecules Conformational Changes Studied by Simulations and Enhanced Sampling written by Yui Tik (Andrew) Pang and published by Springer Nature. This book was released on with total page 104 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Biomolecules Conformational Changes Studied by Simulations and Enhanced Sampling written by Yui Tik (Andrew) Pang and published by Springer. This book was released on 2024-10-17 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis illuminates the critical roles biomolecules, from small molecules to proteins, play in cellular functionality, particularly highlighting their conformational changes in response to environmental cues or binding events—a cornerstone concept in drug design as well as the manifestations of disease. It explores the conformational flexibility of small molecules and proteins, essential for predicting drug interactions and understanding biological processes. Through advanced molecular dynamics simulations and enhanced sampling techniques, this research offers unprecedented insights into the structural dynamics of three distinct biomolecular systems: the capsid assembly modulator AT130, the passenger domain of pertactin, and the SARS-CoV-2 spike protein. Each system represents a unique facet of biological complexity, underscoring the thesis's contribution to our understanding of biomolecular behavior across various scales. Furthermore, the thesis advances the field by updating the Force Field Toolkit for improved simulation accuracy. This work not only showcases the adaptability and importance of simulation techniques in modern biological research but also paves the way for novel therapeutic strategies by deepening our understanding of biomolecular dynamics.
Download or read book Advanced Sampling and Modeling in Molecular Simulations for Slow and Large Scale Biomolecular Dynamics written by Xiakun Chu and published by Frontiers Media SA. This book was released on 2022-01-07 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Conformational Fluctuations of Biomolecules Studied Using Molecular Dynamics and Enhanced Sampling written by Geoffrey M. Gray and published by . This book was released on 2018 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: DNA sequences exist in a prebent conformation compared to nongcognate sequence. This results in a lower deformation energy for the binding of a cognate sequence. Simulations of the C-terminal domain of Cdc37 (chapter 3) in which Y298 was unphosphorylated, phosphorylated and mutated to a phosphomimetic residue, revealed the importance of conformational fluctuations in the regulation of the Hsp90 chaperone cycle. Both the phosphomimetic and phosphorylated systems resulted in the loss of native like contacts and hydrogen bonding for that residue. This resulted in an unfolding of α1 helix and an exposure of an SH2-binding domain. This domain is important for the recognition of client chaperones. Contrastingly, while α1
Download or read book Applications of Advanced Sampling Methods for Enhanced Conformational Sampling of Biomolecules written by Srinivasaraghavan Kannan and published by . This book was released on 2009 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: The application of Classical Molecular Dynamics (MD) for the structure prediction of biomolecules is limited by the accuracy of current force fields and the simulation time scale. Biomolecules can adopt several locally stable conformations separated by high energy barriers. Conformational transitions between these stable states can therefore be rare events even on the time scale of tens to hundreds of nanoseconds. Out of the various methods Replica Exchange Molecular Dynamics (Rex MD) is the most successful method to enhance the conformational sampling of biomolecules. But this is limited to only small systems, as the number of replicas required for Rex MD increases with increasing system size. Therefore, during my PhD, I have developed an alternative "Hamiltonian" replica-exchange method that focuses on the biomolecule backbone flexibility by employing a specific biasing potential to promote backbone transitions as a replica coordinate. The aim of this biasing potential is to reduce the energy barriers associated with peptide backbone dihedral transitions. The level of biasing gradually changes along the replicas such that frequent transitions are possible at high levels of biasing and thus the system can escape from getting trapped in local energy minima. This thesis discusses the development of this Biasing Potential Replica Exchange Molecular Dynamics (BP-Rex MD) method in detail. Application of the method to study the conformational sampling of peptides, folding of a mini protein and also for refinement and loop modeling of homology modeled proteins in explicit solvent shows much better sampling of conformational space as compared to the standard MD simulations. One of the main advantages of this BP-Rex MD simulation is that only the biasing potential energy term enters into the exchange probability, meaning that the number of required replicas is expected to scale approximately linearly with the number of included backbone dihedral angles.
Download or read book Enhanced Sampling Methods for Kinetics of Biomolecules and Application to Triazine Polymers written by Surl-Hee Ahn and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Molecular dynamics (MD) simulations are becoming essential tools for many different fields, including biology, chemistry, and materials science, that provide us with a molecular picture of what is really happening at the molecular level for many biophysical phenomena. With MD simulations, we can see how the molecule forms and moves and obtain insight into its mechanisms with higher resolution than experiments. Unfortunately, MD simulations are not without limitations. They are restricted in predictive power because the molecules routinely get "stuck" in metastable states and do not change their conformations for an extended period. Hence, there is currently a huge gap between what MD simulations can model and the timescales of biological processes. Consequently, many methods have been developed for MD simulations over the past few decades to overcome this timescale barrier between MD simulations and biological processes. These are referred to as enhanced sampling methods. We need these methods to overcome the timescale barrier so that critical biophysical phenomena can be observed in a computationally tractable period. Current enhanced sampling methods have demonstrated that they can efficiently obtain thermodynamic and/or kinetic properties. However, there is still a need for an enhanced sampling method that requires little a priori knowledge about the system, is less heuristic, can obtain both thermodynamic and kinetic properties, and can be easily parallelized over the available computational resources for computational efficiency. I will go over several classes of enhanced sampling methods before diving into my new enhanced sampling methods that aim to address the issues mentioned above.
Download or read book Chemical Theory and Multiscale Simulation in Biomolecules written by Guohui Li and published by Elsevier. This book was released on 2024-03-29 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chemical Theory and Multiscale Simulation in Biomolecules: From Principles to Case Studies helps readers understand what simulation is, what information modeling of biomolecules can provide, and how to compare this information with experiments. Beginning with an introduction to computational theory for modeling, the book goes on to describe how to control the conditions of modeling systems and possible strategies for time-cost savings in computation. Part Two further outlines key methods, with step-by-step guidance supporting readers in studying and practicing simulation processes. Part Three then shows how these theories are controlled and applied in practice, through examples and case studies on varied applications. This book is a practical guide for new learners, supporting them in learning and applying molecular modeling in practice, whilst also providing more experienced readers with the knowledge needed to gain a deep understanding of the theoretical background behind key methods. - Presents computational theory alongside case studies to help readers understand the use of simulation in practice - Includes extensive examples of different types of simulation methods and approaches to result analysis - Provides an overview of the current academic frontier and research challenges, encouraging creativity and directing attention to current problems
Download or read book Applications of Adaptive Umbrella Sampling in Biomolecular Simulation written by Justin Matthew Spiriti and published by . This book was released on 2011 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: Conformational changes in biomolecules often take place on longer timescales than are easily accessible with unbiased molecular dynamics simulations, necessitating the use of enhanced sampling techniques, such as adaptive umbrella sampling. In this technique, the conformational free energy is calculated in terms of a designated set of reaction coordinates. At the same time, estimates of this free energy are subtracted from the potential energy in order to remove free energy barriers and cause conformational changes to take place more rapidly. This dissertation presents applications of adaptive umbrella sampling to a variety of biomolecular systems. The first study investigated the effects of glycosylation in GalNAc2-MM1, an analog of glycosylated macrophage activating factor. It was found that glycosylation destabilizes the protein by increasing the solvent exposure of hydrophobic residues. The second study examined the role of bound calcium ions in promoting the isomerization of a cis peptide bond in the collagen-binding domain of Clostridium histolyticum collagenase. This study determined that the bound calcium ions reduced the barrier to the isomerization of this peptide bond as well as stabilizing the cis conformation thermodynamically, and identified some of the reasons for this. The third study represents the application of GAMUS (Gaussian mixture adaptive umbrella sampling) to on the conformational dynamics of the fluorescent dye Cy3 attached to the 5' end of DNA, and made predictions concerning the affinity of Cy3 for different base pairs, which were subsequently verified experimentally. Finally, the adaptive umbrella sampling method is extended to make use of the roll angle between adjacent base pairs as a reaction coordinate in order to examine the bending both of free DNA and of DNA bound to the archaeal protein Sac7d. It is found that when DNA bends significantly, cations from the surrounding solution congregate on the concave side, which increases the flexibility of the DNA by screening the repulsion between phosphate backbones. The flexibility of DNA on short length scales is compared to the worm-like chain model, and the contribution of cooperativity in DNA bending to protein-DNA binding is assessed.
Download or read book Guide to Biomolecular Simulations written by Oren M. Becker and published by Springer Science & Business Media. This book was released on 2006-06-26 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: Molecular dynamics simulations have become instrumental in replacing our view of proteins as relatively rigid structures with the realization that they were dynamic systems, whose internal motions play a functional role. Over the years, such simulations have become a central part of biophysics. Applications of molecular dynamics in biophysics range over many areas. They are used in the structure determination of macromolecules with x-ray and NMR data, the modelling of unknown structures from their sequence, the study of enzyme mechanisms, the estimation of ligand-binding free energies, the evaluation of the role of conformational change in protein function, and drug design for targets of known structures. The widespread application of molecular dynamics and related methodologies suggests that it would be useful to have available an introductory self-contained course by which students with a relatively limited background in chemistry, biology and computer literacy, can learn the fundamentals of the field. This Guide to Biomolecular Simulations tries to fill this need. The Guide consists of six chapters which provide the fundamentals of the field and six chapters which introduce the reader to more specialized but important applications of the methodology.
Download or read book Graduate Aptitude Test Biotechnology DBT PG Question Bank Book 3000 Questions With Detail Explanation written by DIWAKAR EDUCATION HUB and published by DIWAKAR EDUCATION HUB . This book was released on 2024-03-07 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: Graduate Aptitude Test Biotechnology [DBT-PG] Practice Sets 3000 + Question Answer Chapter Wise Book As Per Updated Syllabus Highlights of Question Answer – Covered All 13 Chapters of Latest Syllabus Question As Per Syllabus The Chapters are- 1.Biomolecules-structure and functions 2.Viruses- structure and classification 3.Prokaryotic and eukaryotic cell structure 4.Molecular structure of genes and chromosomes 5.Major bioinformatics resources and search tools 6.Restriction and modification enzyme 7.Production of secondary metabolites by plant suspension cultures; 8.Animal cell culture; media composition and growth conditions 9.Chemical engineering principles applied to biological system 10. Engineering principle of bioprocessing – 11.Tissue culture and its application, In Each Chapter[Unit] Given 230+ With Explanation In Each Unit You Will Get 230 + Question Answer Based on Exam Pattern Total 3000 + Questions Answer with Explanation Design by Professor & JRF Qualified Faculties
Download or read book Coarse Grained Modeling of Biomolecules written by Garegin A. Papoian and published by CRC Press. This book was released on 2017-10-30 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The chapters in this book survey the progress in simulating biomolecular dynamics.... The images conjured up by this work are not yet universally loved, but are beginning to bring new insights into the study of biological structure and function. The future will decide whether this scientific movement can bring forth its Picasso or Modigliani." –from the Foreword by Peter G. Wolynes, Bullard-Welch Foundation Professor of Science, Rice University This book highlights the state-of-art in coarse-grained modeling of biomolecules, covering both fundamentals as well as various cutting edge applications. Coarse-graining of biomolecules is an area of rapid advances, with numerous new force fields having appeared recently and significant progress made in developing a systematic theory of coarse-graining. The contents start with first fundamental principles based on physics, then survey specific state-of-art coarse-grained force fields of proteins and nucleic acids, and provide examples of exciting biological problems that are at large scale, and hence, only amenable to coarse-grained modeling. Introduces coarse-grained models of proteins and nucleic acids. Showcases applications such as genome packaging in nuclei and understanding ribosome dynamics Gives the physical foundations of coarse-graining Demonstrates use of models for large-scale assemblies in modern studies Garegin A. Papoian is the first Monroe Martin Associate Professor with appointments in the Department of Chemistry and Biochemistry and the Institute for Physical Science and Technology at the University of Maryland.
Download or read book Computational Approaches for Studying Enzyme Mechanism Part B written by and published by Academic Press. This book was released on 2016-08-03 with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Approaches for Studying Enzyme Mechanism, Part B is the first of two volumes in the Methods in Enzymology series that focuses on computational approaches for studying enzyme mechanism. The serial achieves the critically acclaimed gold standard of laboratory practices and remains one of the most highly respected publications in the molecular biosciences. Each volume is eagerly awaited, frequently consulted, and praised by researchers and reviewers alike. Now with over 550 volumes, the series remains a prominent and essential publication for researchers in all fields of the life sciences and biotechnology, including biochemistry, chemical biology, microbiology, synthetic biology, cancer research, genetics, and other fields of study. - Focuses on computational approaches for studying enzyme mechanism - Continues the legacy of this premier serial with quality chapters authored by leaders in the field - Covers research methods in intermediate filament associated proteins, and contains sections on such topics as lamin-associated proteins, intermediate filament-associated proteins and plakin, and other cytoskeletal cross-linkers
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.
Download or read book Converging Pharmacy Science and Engineering in Computational Drug Discovery written by Tripathi, Rati Kailash Prasad and published by IGI Global. This book was released on 2024-04-22 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: The world of pharmaceutical research is moving at lightning speed, and the age-old approach to drug discovery faces many challenges. It's a fascinating time to be on the cutting edge of medical innovation, but it's certainly not without its obstacles. The process of developing new drugs is often time-consuming, expensive, and fraught with uncertainty. Researchers are constantly seeking ways to streamline this process, reduce costs, and increase the success rate of bringing new drugs to market. One promising solution lies in the convergence of pharmacy science and engineering, particularly in computational drug discovery. Converging Pharmacy Science and Engineering in Computational Drug Discovery presents a comprehensive solution to these challenges by exploring the transformative synergy between pharmacy science and engineering. This book demonstrates how researchers can expedite the identification and development of novel therapeutic compounds by harnessing the power of computational approaches, such as sophisticated algorithms and modeling techniques. Through interdisciplinary collaboration, pharmacy scientists and engineers can revolutionize drug discovery, paving the way for more efficient and effective treatments. This book is an invaluable resource for pharmaceutical scientists, researchers, and engineers seeking to enhance their understanding of computational drug discovery. This book inspires future innovations by showcasing cutting-edge methodologies and innovative research at the intersection of pharmacy science and engineering. It contributes to the ongoing evolution of pharmaceutical research. It offers practical insights and solutions that will shape the future of drug discovery, making it essential reading for anyone involved in the pharmaceutical industry.
Download or read book In cell NMR Spectroscopy written by Yutaka Ito and published by Royal Society of Chemistry. This book was released on 2019-12-13 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: In-cell NMR spectroscopy is a relatively new field. Despite its short history, recent in-cell NMR-related publications in major journals indicate that this method is receiving significant general attention. This book provides the first informative work specifically focused on in-cell NMR. It details the historical background of in-cell NMR, host cells for in-cell NMR studies, methods for in-cell biological techniques and NMR spectroscopy, applications, and future perspectives. Researchers in biochemistry, biophysics, molecular biology, cell biology, structural biology as well as NMR analysts interested in biological applications will all find this book valuable reading.
Download or read book Computational studies of RNA and DNA written by Jirí Šponer and published by Springer Science & Business Media. This book was released on 2006-10-05 with total page 638 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book integrates modern computational studies of nucleic acids, ranging from advanced electronic structure quantum chemical calculations through explicit solvent molecular dynamics (MD) simulations up to mesoscopic modelling, with the main focus given to the MD field. It gives an equal emphasis to the leading methods and applications while successes as well as pitfalls of the computational techniques are discussed.
Download or read book Molecular Dynamics written by Ben Leimkuhler and published by Springer. This book was released on 2015-05-18 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the mathematical underpinnings of algorithms used for molecular dynamics simulation, including both deterministic and stochastic numerical methods. Molecular dynamics is one of the most versatile and powerful methods of modern computational science and engineering and is used widely in chemistry, physics, materials science and biology. Understanding the foundations of numerical methods means knowing how to select the best one for a given problem (from the wide range of techniques on offer) and how to create new, efficient methods to address particular challenges as they arise in complex applications. Aimed at a broad audience, this book presents the basic theory of Hamiltonian mechanics and stochastic differential equations, as well as topics including symplectic numerical methods, the handling of constraints and rigid bodies, the efficient treatment of Langevin dynamics, thermostats to control the molecular ensemble, multiple time-stepping, and the dissipative particle dynamics method.
