Literatura académica sobre el tema "Theoreical and Computational Chemistry"
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Artículos de revistas sobre el tema "Theoreical and Computational Chemistry"
Hase, W. L. y G. E. Scuseria. "Computational chemistry". Computing in Science & Engineering 5, n.º 4 (julio de 2003): 12–13. http://dx.doi.org/10.1109/mcise.2003.1208636.
Texto completoTruhlar, D. G. y V. Mckoy. "Computational chemistry". Computing in Science & Engineering 2, n.º 6 (noviembre de 2000): 19–21. http://dx.doi.org/10.1109/mcise.2000.881703.
Texto completoLeszczynski, Jerzy. "Computational chemistry". Parallel Computing 26, n.º 7-8 (julio de 2000): 817–18. http://dx.doi.org/10.1016/s0167-8191(00)00013-2.
Texto completoDeTar, DeLosF. "Computational Chemistry". Computers & Chemistry 13, n.º 3 (enero de 1989): 297. http://dx.doi.org/10.1016/0097-8485(89)85015-6.
Texto completoSchuster, Peter y Peter Wolschann. "Computational chemistry". Monatshefte für Chemie - Chemical Monthly 139, n.º 4 (18 de enero de 2008): III—IV. http://dx.doi.org/10.1007/s00706-008-0882-8.
Texto completoSchneider, Gisbert. "Computational medicinal chemistry". Future Medicinal Chemistry 3, n.º 4 (marzo de 2011): 393–94. http://dx.doi.org/10.4155/fmc.11.10.
Texto completoFernández, Israel y Fernando P. Cossío. "Applied computational chemistry". Chemical Society Reviews 43, n.º 14 (2014): 4906. http://dx.doi.org/10.1039/c4cs90040e.
Texto completoYates, Brian F. "Computational organic chemistry". Annual Reports Section "B" (Organic Chemistry) 102 (2006): 219. http://dx.doi.org/10.1039/b518099f.
Texto completoBachrach, Steven M. "Computational organic chemistry". Annual Reports Section "B" (Organic Chemistry) 105 (2009): 398. http://dx.doi.org/10.1039/b822063h.
Texto completoMück-Lichtenfeld, Christian. "Computational Organic Chemistry". Synthesis 2008, n.º 11 (junio de 2008): 1808. http://dx.doi.org/10.1055/s-2008-1080541.
Texto completoTesis sobre el tema "Theoreical and Computational Chemistry"
Belding, Stephen Richard. "Computational electrochemistry". Thesis, University of Oxford, 2012. http://ora.ox.ac.uk/objects/uuid:e997642f-fbaa-469c-98a3-f359b0996f03.
Texto completoDinescu, Adriana Cundari Thomas R. "Metals in chemistry and biology computational chemistry studies /". [Denton, Tex.] : University of North Texas, 2007. http://digital.library.unt.edu/permalink/meta-dc-3678.
Texto completoDinescu, Adriana. "Metals in Chemistry and Biology: Computational Chemistry Studies". Thesis, University of North Texas, 2007. https://digital.library.unt.edu/ark:/67531/metadc3678/.
Texto completoLathey, Daniel Craig. "Fluorescence prediction through computational chemistry". Huntington, WV : [Marshall University Libraries], 2005. http://www.marshall.edu/etd/descript.asp?ref=522.
Texto completoRajarathinam, Kayathri. "Nutraceuticals based computational medicinal chemistry". Licentiate thesis, KTH, Teoretisk kemi och biologi, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-122681.
Texto completoQC 20130531
Brookes, Benjamin A. "Computational electrochemistry". Thesis, University of Oxford, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.270000.
Texto completoBertolani, Steve James. "Computational Methods for Modeling Enzymes". Thesis, University of California, Davis, 2019. http://pqdtopen.proquest.com/#viewpdf?dispub=10928544.
Texto completoEnzymes play a crucial role in modern biotechnology, industry, food processing and medical applications. Since their first discovered industrial use, man has attempted to discover new enzymes from Nature to catalyze different chemical reactions. In modern times, with the advent of computational methods, protein structure solutions, protein sequencing and DNA synthesis methods, we now have the tools to enable new approaches to rational enzyme engineering. With an enzyme structure in hand, a researcher may run an in silico experiment to sample different amino acids in the active site in order to identify new combinations which likely stabilize a transition-state-enzyme model. A suggested mutation can then be encoded into the desired enzyme gene, ordered, synthesized and tested. Although this truly astonishing feat of engineering and modern biotechnology allows the redesign of existing enzymes to acquire a new substrate specificity, it still requires a large amount of time, capital and technical capabilities.
Concurrently, while making strides in computational protein design, the cost of sequencing DNA plummeted after the turn of the century. With the reduced cost of sequencing, the number of sequences in public databases of naturally occurring proteins has grown exponentially. This new, large source of information can be utilized to enable rational enzyme design, as long as it can be coupled with accurate modeling of the protein sequences.
This work first describes a novel approach to reengineering enzymes (Genome Enzyme Orthologue Mining; GEO) that utilizes the vast amount of protein sequences in modern databases along with extensive computation modeling and achieves comparable results to the state-of-the-art rational enzyme design methods. Then, inspired by the success of this new method and aware of it's reliance on the accuracy of the protein models, we created a computational benchmark to both measure the accuracy of our models as well as improve it by encoding additional information about the structure, derived from mechanistic studies (Catalytic Geometry constraints; CG). Lastly, we use the improved accuracy method to automatically model hundreds of putative enzymes sequences and dock substrates into them to extract important features that are then used to inform experiments and design. This is used to reengineer a ribonucleotide reductase to catalyze a aldehyde deformylating oxygenase reaction.
These chapters advance the field of rational enzyme engineering, by providing a novel technique that may enable efficient routes to rationally design enzymes for reactions of interest. These chapters also advance the field of homology modeling, in the specific domain in which the researcher is modeling an enzyme with a known chemical reaction. Lastly, these chapters and techniques lead to an example which utilizes highly accurate computational models to create features which can help guide the rational design of enzyme catalysts.
Funes, Ardoiz Ignacio. "Computational Chemistry for Homogeneous Redox Catalysis". Doctoral thesis, Universitat Rovira i Virgili, 2017. http://hdl.handle.net/10803/456826.
Texto completoEsta Tesis Doctoral se ha centrado en el estudio computacional mediante metodología DFT (Teoría del funcional de la densidad) de reacciones redox catalizadas en fase homogénea. La primera parte versa sobre el estudio computacional de dos ciclos catalíticos de acoplamiento oxidativo. Este estudio dio con una de las claves en este tipo de reacciones, el efecto del oxidante externo. Demostramos en ambas reacciones como diferentes metales de transición podían colaborar para dar una reacción más eficiente y selectiva. Además descubrimos las claves para la regioselectividad en ambas reacciones. La segunda reacción fue estudiada en colaboración con el grupo experimental del profesor Frederic Patureau (University of Kaiserslautern). Por otro lado, la segunda parte de esta tesis se centra en el estudio teórico de la reacción de oxidación de agua catalizada por complejos de la primera serie de transición. Desarrollamos una nueva familia de catalizadores mononucleares de cobre con la colaboración experimental del grupo del profesor Antoni Llobet (ICIQ), descubriendo un nuevo mecanismo en la formación de enlace oxígeno-oxígeno, el ataque nucleófilo del agua mediante la transferencia de un electrón (SET-WNA). Tras esto extendimos este mecanismo a otros sistemas de cobre y de rutenio, redefiniendo el contexto mecanístico para esta reacción en catálisis homogénea. Esta tesis, por tanto, proporciona una profunda base mecanística sobre el estudio de importantes reacciones redox mediante química computacional a través de los métodos DFT.
This Doctoral Thesis is focused on the computational study by DFT methodology (Density Functional Theory) of homogeneous redox catalized reactions. The first part describes successfully the mechanism of two different catalytic cycles of oxidative coupling reactions. This study found out the explanation about one of the challenging questions on the field, the key role of the external oxidant. We demonstrated the cooperation between different transition metals is essential to catalyze the reaction efficiently and with good selectivities. Additionally, we explained also the regioselectivity of both reactions, in very good agreement with the experimental results. The second reaction was studied in collaboration with the experimental group of professor Frederic Patureau (University of Kaiserslautern). On the other hand, the second part of the thesis is focused on the theoretical study of water oxidation reaction catalyzed by first-row transition metal complexes. Firstly, we developed a new family of mononuclear copper complexes in collaboration with the experimental group of professor Antoni Llobet (ICIQ), discovering a new mechanism for the oxygen-oxygen bond formation step, the water nucleophilic attack. single electron transfer (SET-WNA). From this point, we extended the new mechanism to other catalytic systems based on copper and ruthenium, redefining the mechanistic scenario for the homogeneous catalytic version of this reaction. Therefore, this thesis provides a deep theoretical knowledge abour the homogeneous redox catalysis mechanisms by DFT calculations.
Sykes, Adam. "High-throughput computational chemistry of macromolecules". Thesis, University of Liverpool, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.507497.
Texto completoTassell, M. J. "Computational investigations of molecular actinide chemistry". Thesis, University College London (University of London), 2013. http://discovery.ucl.ac.uk/1386659/.
Texto completoLibros sobre el tema "Theoreical and Computational Chemistry"
Houk, Kendall N. y Fang Liu. Computational Chemistry. Washington, DC, USA: American Chemical Society, 2022. http://dx.doi.org/10.1021/acsinfocus.7e5011.
Texto completoLewars, Errol G. Computational Chemistry. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-90-481-3862-3.
Texto completoLewars, Errol G. Computational Chemistry. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30916-3.
Texto completoG, Richards W., ed. Computational chemistry. Oxford [England]: Oxford University Press, 1995.
Buscar texto completo1964-, Cundari Thomas R., ed. Computational organometallic chemistry. New York: Marcel Dekker, 2001.
Buscar texto completoBachrach, Steven M. Computational organic chemistry. Hoboken, N.J: Wiley-Interscience, 2007.
Buscar texto completoWiest, Olaf y Yundong Wu, eds. Computational Organometallic Chemistry. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-25258-7.
Texto completoOnishi, Taku. Quantum Computational Chemistry. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-5933-9.
Texto completoBachrach, Steven M. Computational Organic Chemistry. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118671191.
Texto completoCurtiss, L. A. y M. S. Gordon, eds. Computational Materials Chemistry. Dordrecht: Kluwer Academic Publishers, 2005. http://dx.doi.org/10.1007/1-4020-2117-8.
Texto completoCapítulos de libros sobre el tema "Theoreical and Computational Chemistry"
Safouhi, Hassan y Ahmed Bouferguene. "Computational Chemistry". En Scientific Data Mining and Knowledge Discovery, 173–206. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02788-8_8.
Texto completoSteele, Guy L., Xiaowei Shen, Josep Torrellas, Mark Tuckerman, Eric J. Bohm, Laxmikant V. Kalé, Glenn Martyna et al. "Computational Chemistry". En Encyclopedia of Parallel Computing, 352. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-09766-4_2417.
Texto completoKlostermeier, Dagmar y Markus G. Rudolph. "Computational Biology". En Biophysical Chemistry, 341–61. Names: Klostermeier, Dagmar, author. | Rudolph, Markus G., author. Title: Biophysical chemistry / Dagmar Klostermeier and Markus G. Rudolph. Description: Boca Raton, FL : CRC Press, Taylor & Francis Group, [2017]: CRC Press, 2018. http://dx.doi.org/10.1201/9781315156910-21.
Texto completoLewars, Errol G. "An Outline of What Computational Chemistry Is All About". En Computational Chemistry, 1–7. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-3862-3_1.
Texto completoLewars, Errol G. "The Concept of the Potential Energy Surface". En Computational Chemistry, 9–43. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-3862-3_2.
Texto completoLewars, Errol G. "Molecular Mechanics". En Computational Chemistry, 45–83. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-90-481-3862-3_3.
Texto completoLewars, Errol G. "Introduction to Quantum Mechanics in Computational Chemistry". En Computational Chemistry, 85–173. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-90-481-3862-3_4.
Texto completoLewars, Errol G. "Ab initio Calculations". En Computational Chemistry, 175–390. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-3862-3_5.
Texto completoLewars, Errol G. "Semiempirical Calculations". En Computational Chemistry, 391–444. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-3862-3_6.
Texto completoLewars, Errol G. "Density Functional Calculations". En Computational Chemistry, 445–519. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-3862-3_7.
Texto completoActas de conferencias sobre el tema "Theoreical and Computational Chemistry"
Onishi, Taku. "Recent computational chemistry". En INTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING 2015 (ICCMSE 2015). AIP Publishing LLC, 2015. http://dx.doi.org/10.1063/1.4938810.
Texto completoMaroulis, George. "Computational quantum chemistry". En INTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING 2009: (ICCMSE 2009). AIP, 2012. http://dx.doi.org/10.1063/1.4771781.
Texto completoCisneros, Gerardo, J. A. Cogordan, Miguel Castro y Chumin Wang. "Computational Chemistry and Chemical Engineering". En Third UNAM-CRAY Supercomputing Conference. WORLD SCIENTIFIC, 1997. http://dx.doi.org/10.1142/9789814529426.
Texto completoAdamov, Dmitri P., Alexey Y. Akhlyostin, Alexandre Z. Fazliev, Eugeni P. Gordov, Alexey S. Karyakin, Sergey A. Mikhailov y Olga B. Rodimova. "Information-computational system: atmospheric chemistry". En Sixth International Symposium on Atmospheric and Ocean Optics, editado por Gennadii G. Matvienko y Vladimir P. Lukin. SPIE, 1999. http://dx.doi.org/10.1117/12.370548.
Texto completoWimmer, Erich. "Industrial trends in computational chemistry". En The first European conference on computational chemistry (E.C.C.C.1). AIP, 1995. http://dx.doi.org/10.1063/1.47841.
Texto completoYeguas, Violeta y Ruben Casado. "Big Data issues in Computational Chemistry". En 2014 2nd International Conference on Future Internet of Things and Cloud (FiCloud). IEEE, 2014. http://dx.doi.org/10.1109/ficloud.2014.69.
Texto completoClementi, Enrico y Giorgina Corongiu. "Extrapolations on Ab Initio Computational Chemistry". En Advances in biomolecular simulations. AIP, 1991. http://dx.doi.org/10.1063/1.41358.
Texto completoSukumar, N. "Cellular automata in computational quantum chemistry". En The first European conference on computational chemistry (E.C.C.C.1). AIP, 1995. http://dx.doi.org/10.1063/1.47854.
Texto completoInfante, Ivan. "Computational Chemistry for Colloidal Semiconductor Nanocrystals". En Online school on Fundamentals of Semiconductive Quantum Dots. València: Fundació Scito, 2021. http://dx.doi.org/10.29363/nanoge.qdsschool.2021.013.
Texto completoTill, Stephen, Andrew Heaton, David Payne, Corinne Stone y Martin Swan. "Computational chemistry studies of phenolic resin". En 51st AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2013. http://dx.doi.org/10.2514/6.2013-182.
Texto completoInformes sobre el tema "Theoreical and Computational Chemistry"
Author, Not Given. Computational quantum chemistry website. Office of Scientific and Technical Information (OSTI), agosto de 1997. http://dx.doi.org/10.2172/7376091.
Texto completoHarrison, R. J., R. Shepard y A. F. Wagner. Computational chemistry on parallel computers. Office of Scientific and Technical Information (OSTI), marzo de 1994. http://dx.doi.org/10.2172/10132716.
Texto completoJ. Thomas Mckinnon. Computational Chemistry and Reaction Engineering Workbench. Office of Scientific and Technical Information (OSTI), diciembre de 2003. http://dx.doi.org/10.2172/820562.
Texto completoAlexeev, Yuri. Scalable Computational Chemistry: New Developments and Applications. Office of Scientific and Technical Information (OSTI), enero de 2002. http://dx.doi.org/10.2172/806585.
Texto completoBasak, Subhash C. Predicting Chemical Toxicity from Proteomics and Computational Chemistry. Fort Belvoir, VA: Defense Technical Information Center, julio de 2008. http://dx.doi.org/10.21236/ada576221.
Texto completoBrown, Katrina, Kim Ferris y George Irving. Computational Chemistry for the High Power Microwave Initiative. Fort Belvoir, VA: Defense Technical Information Center, octubre de 1999. http://dx.doi.org/10.21236/ada376400.
Texto completoHarrison, Robert J., David E. Bernholdt, Bruce E. Bursten, Wibe A. De Jong, David A. Dixon, Kenneth G. Dyall, Walter V. Ermler et al. Computational Chemistry for Nuclear Waste Characterization and Processing: Relativistic Quantum Chemistry of Actinides. Office of Scientific and Technical Information (OSTI), agosto de 2002. http://dx.doi.org/10.2172/15010139.
Texto completoMillis, Andrew. Many Body Methods from Chemistry to Physics: Novel Computational Techniques for Materials-Specific Modelling: A Computational Materials Science and Chemistry Network. Office of Scientific and Technical Information (OSTI), noviembre de 2016. http://dx.doi.org/10.2172/1332662.
Texto completoRudd, R. y M. McElfresh. 2004 LLNL Computational Chemistry and Materials Science Summer Institute. Office of Scientific and Technical Information (OSTI), noviembre de 2004. http://dx.doi.org/10.2172/15014752.
Texto completoGuest, M. F., E. Apra y D. E. Bernholdt. High performance computational chemistry: Towards fully distributed parallel algorithms. Office of Scientific and Technical Information (OSTI), julio de 1994. http://dx.doi.org/10.2172/10162988.
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