Literatura académica sobre el tema "Proteins Molecular Dynamics Computational Biophysics"
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Artículos de revistas sobre el tema "Proteins Molecular Dynamics Computational Biophysics"
Liang, Zhongjie, Gennady M. Verkhivker y Guang Hu. "Integration of network models and evolutionary analysis into high-throughput modeling of protein dynamics and allosteric regulation: theory, tools and applications". Briefings in Bioinformatics 21, n.º 3 (21 de marzo de 2019): 815–35. http://dx.doi.org/10.1093/bib/bbz029.
Texto completoYeggoni, Daniel Pushparaju, Aparna Rachamallu y Rajagopal Subramanyam. "A comparative binding mechanism between human serum albumin and α-1-acid glycoprotein with corilagin: biophysical and computational approach". RSC Advances 6, n.º 46 (2016): 40225–37. http://dx.doi.org/10.1039/c6ra06837e.
Texto completoBardhan, Jaydeep P. "Gradient models in molecular biophysics: progress, challenges, opportunities". Journal of the Mechanical Behavior of Materials 22, n.º 5-6 (1 de diciembre de 2013): 169–84. http://dx.doi.org/10.1515/jmbm-2013-0024.
Texto completoRen, Pengyu, Jaehun Chun, Dennis G. Thomas, Michael J. Schnieders, Marcelo Marucho, Jiajing Zhang y Nathan A. Baker. "Biomolecular electrostatics and solvation: a computational perspective". Quarterly Reviews of Biophysics 45, n.º 4 (noviembre de 2012): 427–91. http://dx.doi.org/10.1017/s003358351200011x.
Texto completoMolinski, Steven V., Zoltán Bozóky, Surtaj H. Iram y Saumel Ahmadi. "Biophysical Approaches Facilitate Computational Drug Discovery for ATP-Binding Cassette Proteins". International Journal of Medicinal Chemistry 2017 (19 de marzo de 2017): 1–9. http://dx.doi.org/10.1155/2017/1529402.
Texto completoMoffett, Alexander S. y Diwakar Shukla. "Using molecular simulation to explore the nanoscale dynamics of the plant kinome". Biochemical Journal 475, n.º 5 (9 de marzo de 2018): 905–21. http://dx.doi.org/10.1042/bcj20170299.
Texto completoRamos, Javier, Juan Francisco Vega, Victor Cruz, Eduardo Sanchez-Sanchez, Javier Cortes y Javier Martinez-Salazar. "Hydrodynamic and Electrophoretic Properties of Trastuzumab/HER2 Extracellular Domain Complexes as Revealed by Experimental Techniques and Computational Simulations". International Journal of Molecular Sciences 20, n.º 5 (1 de marzo de 2019): 1076. http://dx.doi.org/10.3390/ijms20051076.
Texto completoOldham, William M. y Heidi E. Hamm. "Structural basis of function in heterotrimeric G proteins". Quarterly Reviews of Biophysics 39, n.º 2 (mayo de 2006): 117–66. http://dx.doi.org/10.1017/s0033583506004306.
Texto completoGauthier, Louis, Rémicia Di Franco y Adrian W. R. Serohijos. "SodaPop: a forward simulation suite for the evolutionary dynamics of asexual populations on protein fitness landscapes". Bioinformatics 35, n.º 20 (14 de marzo de 2019): 4053–62. http://dx.doi.org/10.1093/bioinformatics/btz175.
Texto completoTang, Wai Shing, Gabriel Monteiro da Silva, Henry Kirveslahti, Erin Skeens, Bibo Feng, Timothy Sudijono, Kevin K. Yang, Sayan Mukherjee, Brenda Rubenstein y Lorin Crawford. "A topological data analytic approach for discovering biophysical signatures in protein dynamics". PLOS Computational Biology 18, n.º 5 (2 de mayo de 2022): e1010045. http://dx.doi.org/10.1371/journal.pcbi.1010045.
Texto completoTesis sobre el tema "Proteins Molecular Dynamics Computational Biophysics"
Rigoli, Marta. "The structure-dynamics-function relation in proteins: bridging all-atom molecular dynamics, experiments, and simplified models". Doctoral thesis, Università degli studi di Trento, 2022. https://hdl.handle.net/11572/330870.
Texto completoParton, Daniel L. "Pushing the boundaries : molecular dynamics simulations of complex biological membranes". Thesis, University of Oxford, 2011. http://ora.ox.ac.uk/objects/uuid:7ab91b51-a5ae-46b4-b6dc-3f0dd3f0b477.
Texto completoHirst-Dunton, Thomas Alexander. "Using molecular simulations to parameterize discrete models of protein movement in the membrane". Thesis, University of Oxford, 2015. https://ora.ox.ac.uk/objects/uuid:893568e9-696f-47e7-8495-59ecfb810459.
Texto completoDutta, Priyanka. "Computational Modeling of Allosteric Stimulation of Nipah Virus Host Binding Protein". Scholar Commons, 2016. http://scholarcommons.usf.edu/etd/6227.
Texto completoParra, Katherine Cristina. "Combination of the Computational Methods: Molecular dynamics, Homology Modeling and Docking to Design Novel Inhibitors and study Structural Changes in Target Proteins for Current Diseases". Scholar Commons, 2014. https://scholarcommons.usf.edu/etd/5093.
Texto completoGuinto, Ferdiemar Cardenas Jr. "Investigating Secondary Structure Features of YAP1 Protein Fragments Using Molecular Dynamics (MD) and Steered Molecular Dynamics (SMD) Simulations". Scholarly Commons, 2017. https://scholarlycommons.pacific.edu/uop_etds/2973.
Texto completoLumb, Craig Nicholas. "Computational studies of signalling at the cell membrane". Thesis, University of Oxford, 2012. http://ora.ox.ac.uk/objects/uuid:d5b2db00-1050-4191-8eff-3521a4885a0c.
Texto completoPavlovicz, Ryan Elliott. "Investigation of Protein/Ligand Interactions Relating Structural Dynamics to Function: Combined Computational and Experimental Approaches". The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1397220613.
Texto completoCardoch, Sebastian. "Computational study of single protein sensing using nanopores". Thesis, Uppsala universitet, Materialteori, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-423441.
Texto completoZhou, Guangfeng. "STATISTICAL MODELS AND THEIR APPLICATIONS IN STUDYING BIOMOLECULAR CONFORMATIONAL DYNAMICS". Diss., Temple University Libraries, 2017. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/478773.
Texto completoPh.D.
It remains a major challenge in biophysics to understand the conformational dynamics of biomolecules. As powerful tools, molecular dynamics (MD) simulations have become increasingly important in studying the full atomic details of conformational dynamics of biomolecules. In addition, many statistical models have been developed to give insight into the big datasets from MD simulations. In this work, I first describe three statistical models used to analyze MD simulation data: Lifson-Roig Helix-Coil theory, Bayesian inference models, and Markov state models. Then I present the applications of each model in analyzing MD simulations and revealing insight into the conformational dynamics of biomolecules. These statistical models allow us to bridge microscopic and macroscopic mechanisms of biological processes and connect simulations with experiments.
Temple University--Theses
Libros sobre el tema "Proteins Molecular Dynamics Computational Biophysics"
Sansom, M. S. P. y Philip Charles Biggin. Molecular simulations and biomembranes: From biophysics to function. Cambridge: Royal Society of Chemistry, 2010.
Buscar texto completoM, Becker Oren, ed. Computational biochemistry and biophysics. New York: M. Dekker, 2001.
Buscar texto completoDonald, Bruce R. Algorithms in structural molecular biology. Cambridge, Mass: MIT Press, 2011.
Buscar texto completoFrishman, Dmitrij. Structural bioinformatics of membrane proteins. Wien: Springer, 2010.
Buscar texto completoKostyukov, Viktor. Molecular mechanics of biopolymers. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1010677.
Texto completoFuxreiter, Monika. Computational Approaches to Protein Dynamics. Taylor & Francis Group, 2014.
Buscar texto completoFuxreiter, Monika. Computational Approaches to Protein Dynamics: From Quantum to Coarse-Grained Methods. Taylor & Francis Group, 2014.
Buscar texto completoFuxreiter, Monika. Computational Approaches to Protein Dynamics: From Quantum to Coarse-Grained Methods. Taylor & Francis Group, 2014.
Buscar texto completoComputational Approaches to Protein Dynamics: From Quantum to Coarse-Grained Methods. Taylor & Francis Group, 2018.
Buscar texto completoComputational Approaches to Protein Dynamics: From Quantum to Coarse-Grained Methods. Taylor & Francis Group, 2014.
Buscar texto completoCapítulos de libros sobre el tema "Proteins Molecular Dynamics Computational Biophysics"
Eichinger, Markus, Berthold Heymann, Helmut Heller, Helmut Grubmüller y Paul Tavan. "Conformational Dynamics Simulations of Proteins". En Computational Molecular Dynamics: Challenges, Methods, Ideas, 78–97. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-58360-5_4.
Texto completoHelms, Volkhard y J. Andrew McCammon. "Conformational Transitions of Proteins from Atomistic Simulations". En Computational Molecular Dynamics: Challenges, Methods, Ideas, 66–77. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-58360-5_3.
Texto completoRodziewicz-Motowidło, Sylwia, Emilia Sikorska y Justyna Iwaszkiewicz. "Molecular Dynamics Studies on Amyloidogenic Proteins". En Computational Methods to Study the Structure and Dynamics of Biomolecules and Biomolecular Processes, 445–81. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-28554-7_14.
Texto completoVogel, Alexander y Daniel Huster. "Combining NMR Spectroscopy and Molecular Dynamics Simulation to Investigate the Structure and Dynamics of Membrane-Associated Proteins". En Springer Series in Biophysics, 311–50. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66601-3_14.
Texto completoAntosiewicz, Jan, Elzbieta Błachut-Okrasińska, Tomasz Grycuk, James M. Briggs, Stanisław T. Włodek, Bogdan Lesyng y J. Andrew McCammon. "Prediction of pKas of Titratable Residues in Proteins Using a Poisson-Boltzmann Model of the Solute-Solvent System". En Computational Molecular Dynamics: Challenges, Methods, Ideas, 176–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-58360-5_10.
Texto completoZhang, Jiapu. "A Novel Canonical Dual Global Optimization Computational Approach". En Molecular Structures and Structural Dynamics of Prion Proteins and Prions, 219–62. Dordrecht: Springer Netherlands, 2015. http://dx.doi.org/10.1007/978-94-017-7318-8_13.
Texto completoBarth, Marie y Carla Schmidt. "Quantitative Cross-Linking of Proteins and Protein". En Methods in Molecular Biology, 385–400. New York, NY: Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-1024-4_26.
Texto completoDelemotte, Lucie. "Chapter 7. Bridging the Gap Between Atomistic Molecular Dynamics Simulations and Wet-lab Experimental Techniques: Applications to Membrane Proteins". En Theoretical and Computational Chemistry Series, 247–86. Cambridge: Royal Society of Chemistry, 2020. http://dx.doi.org/10.1039/9781788015882-00247.
Texto completoSljoka, Adnan. "Structural and Functional Analysis of Proteins Using Rigidity Theory". En Sublinear Computation Paradigm, 337–67. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-4095-7_14.
Texto completoKoch, Christof. "Diffusion, Buffering, and Binding". En Biophysics of Computation. Oxford University Press, 1998. http://dx.doi.org/10.1093/oso/9780195104912.003.0017.
Texto completoActas de conferencias sobre el tema "Proteins Molecular Dynamics Computational Biophysics"
Stacklies, Wolfram, Frauke Gräter, Dong-Qing Wei y Xi-Jun Wang. "Force Distribution in Proteins from Molecular Dynamics Simulations". En THEORY AND APPLICATIONS OF COMPUTATIONAL CHEMISTRY—2008. AIP, 2009. http://dx.doi.org/10.1063/1.3108379.
Texto completoTakasu, Masako, Hiromu Sugiyama, Yosuke Hirata, Hironao Yamada, Takeshi Miyakawa y Ryota Morikawa. "Molecular dynamics simulation of coarse grained models of gel and proteins". En INTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING 2015 (ICCMSE 2015). AIP Publishing LLC, 2015. http://dx.doi.org/10.1063/1.4938848.
Texto completoKitao, Akio, Ryuhei Harada, Yasutaka Nishihara y Duy Phuoc Tran. "Parallel cascade selection molecular dynamics for efficient conformational sampling and free energy calculation of proteins". En INTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING 2016 (ICCMSE 2016). Author(s), 2016. http://dx.doi.org/10.1063/1.4968639.
Texto completoIshioka, T., H. Yamada, T. Miyakawa, R. Morikawa, S. Akanuma, A. Yamagishi y M. Takasu. "Mutual positional preference of IPMDH proteins for binding studied by coarse-grained molecular dynamics simulation". En INTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING 2016 (ICCMSE 2016). Author(s), 2016. http://dx.doi.org/10.1063/1.4968649.
Texto completoHarada, Ryuhei, Yasutaka Nishihara, Nobuhiko Wakai y Akio Kitao. "Conformational transition pathway and free energy analyses of proteins by parallel cascade selection molecular dynamics (PaCS-MD)". En INTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING 2014 (ICCMSE 2014). AIP Publishing LLC, 2014. http://dx.doi.org/10.1063/1.4897682.
Texto completoJewel, Yead, Prashanta Dutta y Jin Liu. "Coarse-Grained Molecular Dynamics Simulations of Sugar Transport Across Lactose Permease". En ASME 2015 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/imece2015-52337.
Texto completoHonarmandi, Peyman, Philip Bransford y Roger D. Kamm. "Mechanical Properties of α-Helices Estimated Using Molecular Dynamics and Finite Element Simulations". En ASME 2008 International Mechanical Engineering Congress and Exposition. ASMEDC, 2008. http://dx.doi.org/10.1115/imece2008-69058.
Texto completoCortés, Juan y Ibrahim Al-Bluwi. "A Robotics Approach to Enhance Conformational Sampling of Proteins". En ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-70105.
Texto completoEzzEldin, Hussein M. y Santiago D. Solares. "Calculation of Isothermal Intrinsic Compressibility and Compression of GvpA Protein in Halobacterium sp. NRC-1 Using Molecular Modeling and Dynamics". En ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-86265.
Texto completoKhan, Imad M. y Kurt S. Anderson. "A Robust Framework for Adaptive Multiscale Modeling of Biopolymers Using Highly Parallelizable Methods". En ASME 2013 2nd Global Congress on NanoEngineering for Medicine and Biology. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/nemb2013-93099.
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