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Author | Title | Accn# | Year | Item Type | Claims |
| 31 |
Xu, Ying |
Computational Methods for Protein Structure Prediction and Modeling |
I06814 |
2007 |
eBook |
|
| 32 |
Koonin, Eugene V |
Power Laws, Scale-Free Networks and Genome Biology |
I06757 |
2006 |
eBook |
|
| 33 |
|
Encyclopedia of Complexity and Systems Science |
I06743 |
2009 |
eBook |
|
| 34 |
Dokholyan, Nikolay V |
Computational Modeling of Biological Systems |
I06185 |
2012 |
eBook |
|
| 35 |
Lever, Greg |
Large-Scale Quantum-Mechanical Enzymology |
I06175 |
2015 |
eBook |
|
| 36 |
Pifat-Mrzljak, Greta |
Supramolecular Structure and Function 9 |
I05892 |
2007 |
eBook |
|
| 37 |
Xu, Ying |
Computational Methods for Protein Structure Prediction and Modeling |
I05881 |
2007 |
eBook |
|
| 38 |
Radmaneshfar, Elahe |
Mathematical Modelling of the Cell Cycle Stress Response |
I05872 |
2014 |
eBook |
|
| 39 |
Volkenstein, Mikhail V |
Entropy and Information |
I05470 |
2009 |
eBook |
|
| 40 |
Sussman, Joel L |
From Molecules to Medicines |
I05408 |
2009 |
eBook |
|
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31.
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| Title | Computational Methods for Protein Structure Prediction and Modeling : Volume 1: Basic Characterization |
| Author(s) | Xu, Ying;Xu, Dong;Liang, Jie |
| Publication | New York, NY, Springer New York, 2007. |
| Description | XX, 396 p. 88 illus : online resource |
| Abstract Note | Volume one of this two volume sequence focuses on the basic characterization of known protein structures as well as structure prediction from protein sequence information. The 11 chapters provide an overview of the field, covering key topics in modeling, force fields, classification, computational methods, and struture prediction. Each chapter is a self contained review designed to cover (1) definition of the problem and an historical perspective, (2) mathematical or computational formulation of the problem, (3) computational methods and algorithms, (4) performance results, (5) existing software packages, and (6) strengths, pitfalls, challenges, and future research directions |
| ISBN,Price | 9780387683720 |
| Keyword(s) | 1. BIOINFORMATICS
2. Biological and Medical Physics, Biophysics
3. BIOLOGICAL PHYSICS
4. BIOPHYSICS
5. EBOOK
6. EBOOK - SPRINGER
7. Protein Science
8. Proteins??
9. Proteomics
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I06814 |
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On Shelf |
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32.
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| Title | Power Laws, Scale-Free Networks and Genome Biology |
| Author(s) | Koonin, Eugene V;Wolf, Yuri;Karev, Georgy |
| Publication | New York, NY, Springer US, 2006. |
| Description | XVI, 258 p : online resource |
| Abstract Note | Power Laws, Scale-free Networks and Genome Biology deals with crucial aspects of the theoretical foundations of systems biology, namely power law distributions and scale-free networks which have emerged as the hallmarks of biological organization in the post-genomic era. The chapters in the book not only describe the interesting mathematical properties of biological networks but moves beyond phenomenology, toward models of evolution capable of explaining the emergence of these features. The collection of chapters, contributed by both physicists and biologists, strives to address the problems in this field in a rigorous but not excessively mathematical manner and to represent different viewpoints, which is crucial in this emerging discipline. Each chapter includes, in addition to technical descriptions of properties of biological networks and evolutionary models, a more general and accessible introduction to the respective problems. Most chapters emphasize the potential of theoretical systems biology for discovery of new biological phenomena |
| ISBN,Price | 9780387339160 |
| Keyword(s) | 1. BIOCHEMISTRY
2. Biochemistry, general
3. BIOINFORMATICS
4. Biological and Medical Physics, Biophysics
5. BIOLOGICAL PHYSICS
6. BIOPHYSICS
7. EBOOK
8. EBOOK - SPRINGER
9. Microbial genetics
10. Microbial Genetics and Genomics
11. Microbial genomics
12. PHYSICS
13. Physics, general
14. Proteomics
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I06757 |
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On Shelf |
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33.
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| Title | Encyclopedia of Complexity and Systems Science |
| Publication | New York, NY, Springer New York, 2009. |
| Description | eReference : online resource |
| Abstract Note | Encyclopedia of Complexity and Systems Science provides an authoritative single source for understanding and applying the concepts of complexity theory together with the tools and measures for analyzing complex systems in all fields of science and engineering. The science and tools of complexity and systems science include theories of self-organization, complex systems, synergetics, dynamical systems, turbulence, catastrophes, instabilities, nonlinearity, stochastic processes, chaos, neural networks, cellular automata, adaptive systems, and genetic algorithms. Examples of near-term problems and major unknowns that can be approached through complexity and systems science include: The structure, history and future of the universe; the biological basis of consciousness; the integration of genomics, proteomics and bioinformatics as systems biology; human longevity limits; the limits of computing; sustainability of life on earth; predictability, dynamics and extent of earthquakes, hurricanes, tsunamis, and other natural disasters; the dynamics of turbulent flows; lasers or fluids in physics, microprocessor design; macromolecular assembly in chemistry and biophysics; brain functions in cognitive neuroscience; climate change; ecosystem management; traffic management; and business cycles. All these seemingly quite different kinds of structure formation have a number of important features and underlying structures in common. These deep structural similarities can be exploited to transfer analytical methods and understanding from one field to another. This unique work will extend the influence of complexity and system science to a much wider audience than has been possible to date |
| ISBN,Price | 9780387304403 |
| Keyword(s) | 1. BIOINFORMATICS
2. CHEMISTRY
3. Chemistry/Food Science, general
4. COMPLEX SYSTEMS
5. DYNAMICAL SYSTEMS
6. EARTH SCIENCES
7. Earth Sciences, general
8. EBOOK
9. EBOOK - SPRINGER
10. ECONOMICS
11. Economics, general
12. Management science
13. PROBABILITIES
14. Probability Theory and Stochastic Processes
15. STATISTICAL PHYSICS
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I06743 |
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On Shelf |
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34.
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| Title | Computational Modeling of Biological Systems : From Molecules to Pathways |
| Author(s) | Dokholyan, Nikolay V |
| Publication | New York, NY, Springer New York, 2012. |
| Description | VI, 366 p : online resource |
| Abstract Note | Computational modeling is emerging as a powerful new approach for studying and manipulating biological systems. Many diverse methods have been developed to model, visualize, and rationally alter these systems at various length scales, from atomic resolution to the level of cellular pathways. Processes taking place at larger time and length scales, such as molecular evolution, have also greatly benefited from new breeds of computational approaches. Computational Modeling of Biological Systems: From Molecules to Pathways provides an overview of established computational methods for the modeling of biologically and medically relevant systems. It is suitable for researchers and professionals working in the fields of biophysics, computational biology, systems biology, and molecular medicine |
| ISBN,Price | 9781461421467 |
| Keyword(s) | 1. BIOINFORMATICS
2. Biological and Medical Physics, Biophysics
3. BIOLOGICAL PHYSICS
4. BIOMATHEMATICS
5. BIOPHYSICS
6. Computational Biology/Bioinformatics
7. EBOOK
8. EBOOK - SPRINGER
9. Mathematical and Computational Biology
10. MOLECULAR BIOLOGY
11. Molecular Medicine
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I06185 |
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On Shelf |
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35.
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| Title | Large-Scale Quantum-Mechanical Enzymology |
| Author(s) | Lever, Greg |
| Publication | Cham, Springer International Publishing, 2015. |
| Description | XVII, 148 p. 30 illus., 12 illus. in color : online resource |
| Abstract Note | This work??establishes linear-scaling density-functional theory?? (DFT) as a powerful tool for understanding enzyme catalysis,??one that can complement quantum mechanics/molecular mechanics (QM/MM)??and molecular dynamics??simulations. The thesis reviews benchmark studies demonstrating techniques capable of simulating entire enzymes at the ab initio quantum-mechanical level of accuracy. DFT has transformed the physical sciences by allowing researchers to perform parameter-free quantum-mechanical calculations to predict a broad range of physical and chemical properties of materials. In principle, similar methods could be applied to biological problems. However, even the simplest biological systems contain many thousands of atoms and are characterized by extremely complex configuration spaces associated with a vast number of degrees of freedom. The development of linear-scaling density-functional codes makes biological molecules accessible to quantum-mechanical calculation, but has yet to resolve the complexity of the phase space. Furthermore, these calculations on systems containing up to 2,000 atoms can capture contributions to the energy that are not accounted for in QM/MM methods (for which the Nobel prize in Chemistry was awarded in 2013), and the results presented here reveal profound shortcomings in said methods |
| ISBN,Price | 9783319193519 |
| Keyword(s) | 1. BIOINFORMATICS
2. Biological and Medical Physics, Biophysics
3. BIOLOGICAL PHYSICS
4. BIOPHYSICS
5. Computational Biology/Bioinformatics
6. EBOOK
7. EBOOK - SPRINGER
8. Enzymology
9. PHYSICAL CHEMISTRY
10. Protein Science
11. Proteins??
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I06175 |
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On Shelf |
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37.
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| Title | Computational Methods for Protein Structure Prediction and Modeling : Volume 2: Structure Prediction |
| Author(s) | Xu, Ying;Xu, Dong;Liang, Jie |
| Publication | New York, NY, Springer New York, 2007. |
| Description | XX, 322 p. 41 illus : online resource |
| Abstract Note | Volume 2 of this two-volume sequence focuses on protein structure prediction and includes protein threading, De novo methods, applications to membrane proteins and protein complexes, structure-based drug design, as well as structure prediction as a systems problem. A series of appendices review the biological and chemical basics related to protein structure, computer science for structural informatics, and prerequisite mathematics and statistics |
| ISBN,Price | 9780387688251 |
| Keyword(s) | 1. BIOINFORMATICS
2. Biological and Medical Physics, Biophysics
3. BIOLOGICAL PHYSICS
4. BIOPHYSICS
5. EBOOK
6. EBOOK - SPRINGER
7. Proteomics
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I05881 |
|
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On Shelf |
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38.
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| Title | Mathematical Modelling of the Cell Cycle Stress Response |
| Author(s) | Radmaneshfar, Elahe |
| Publication | Cham, Springer International Publishing, 2014. |
| Description | XV, 109 p. 36 illus., 29 illus. in color : online resource |
| Abstract Note | The cell cycle is a sequence of biochemical events that are controlled by complex but robust molecular machinery. This enables cells to achieve accurate self-reproduction under a broad range of conditions. Environmental changes are transmitted by molecular signaling networks, which coordinate their actions with the cell cycle. ?? This??work presents the first description of??two complementary computational models??describing the influence of osmotic stress on the entire cell cycle of S. cerevisiae. Our models condense a vast amount of experimental evidence on the interaction of the cell cycle network components with the osmotic stress pathway. Importantly, it is only by considering the entire cell cycle that we are able to make a series of novel predictions which emerge from the coupling between the molecular components of different cell cycle phases. ?? The model-based predictions are supported by experiments in S. cerevisiae and, moreover, have recently been observed in other eukaryotes. Furthermore our models reveal the mechanisms that emerge as a result of the interaction between the cell cycle and stress response networks |
| ISBN,Price | 9783319007441 |
| Keyword(s) | 1. Applications of Graph Theory and Complex Networks
2. BIOINFORMATICS
3. Biological and Medical Physics, Biophysics
4. BIOLOGICAL PHYSICS
5. BIOMATHEMATICS
6. BIOPHYSICS
7. Cell cycle
8. Cell Cycle Analysis
9. Computational Biology/Bioinformatics
10. EBOOK
11. EBOOK - SPRINGER
12. PHYSICS
13. Physiological, Cellular and Medical Topics
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I05872 |
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On Shelf |
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39.
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| Title | Entropy and Information |
| Author(s) | Volkenstein, Mikhail V |
| Publication | Basel, 1. Birkh??user Basel
2. Imprint: Birkh??user, 2009. |
| Description | X, 210 p : online resource |
| Abstract Note | This is just...entropy, he said, thinking that this explained everything, and he repeated the strange word a few times. 1 ? Karel Capek , ???Krakatit??? This ???strange word??? denotes one of the most basic quantities of the physics of heat phenomena, that is, of thermodynamics. Although the concept of entropy did indeed originate in thermodynamics, it later became clear that it was a more universal concept, of fundamental signi?cance for chemistry and biology, as well as physics. Although the concept of energy is usually considered more important and easier to grasp, it turns out, as we shall see, that the idea of entropy is just as substantial???and moreover not all that complicated. We can compute or measure the quantity of energy contained in this sheet of paper, and the same is true of its entropy. Furthermore, entropy has remarkable properties. Our galaxy, the solar system, and the biosphere all take their being from entropy, as a result of its transferenceto the surrounding medium. Thereis a surprisingconnectionbetween entropyandinformation,thatis,thetotalintelligencecommunicatedbyamessage. All of this is expounded in the present book, thereby conveying informationto the readeranddecreasinghis entropy;butitis uptothe readertodecidehowvaluable this information might be |
| ISBN,Price | 9783034600781 |
| Keyword(s) | 1. BIOINFORMATICS
2. Classical and Continuum Physics
3. Coding and Information Theory
4. CODING THEORY
5. Continuum physics
6. EBOOK
7. EBOOK - SPRINGER
8. INFORMATION THEORY
9. PHYSICS
10. Physics, general
11. QUANTUM COMPUTERS
12. Quantum Information Technology, Spintronics
13. QUANTUM PHYSICS
14. SPINTRONICS
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I05470 |
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On Shelf |
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