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Author  Title  Accn#  Year  Item Type  Claims 
31 
Lever, Greg 
LargeScale QuantumMechanical Enzymology 
I06175 
2015 
eBook 

32 
PifatMrzljak, Greta 
Supramolecular Structure and Function 9 
I05892 
2007 
eBook 

33 
Xu, Ying 
Computational Methods for Protein Structure Prediction and Modeling 
I05881 
2007 
eBook 

34 
Radmaneshfar, Elahe 
Mathematical Modelling of the Cell Cycle Stress Response 
I05872 
2014 
eBook 

35 
Volkenstein, Mikhail V 
Entropy and Information 
I05470 
2009 
eBook 

36 
Sussman, Joel L 
From Molecules to Medicines 
I05408 
2009 
eBook 

37 
Christopher M. Bishop 
Pattern recognition and machine learning 
026213 
2011 
Book 

38 
Ashis SenGupta (ed.) 
Advances in multivariate statistical methods 
023017 
2009 
Book 


31.


Title  LargeScale QuantumMechanical 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 linearscaling densityfunctional 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 quantummechanical level of accuracy. DFT has transformed the physical sciences by allowing researchers to perform parameterfree quantummechanical 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 linearscaling densityfunctional codes makes biological molecules accessible to quantummechanical 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 
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Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I06175 


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33.


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 twovolume sequence focuses on protein structure prediction and includes protein threading, De novo methods, applications to membrane proteins and protein complexes, structurebased 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 
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Call#  Status  Issued To  Return Due On  Physical Location 
I05881 


On Shelf 




34.


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 selfreproduction 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 modelbased 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 
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Call#  Status  Issued To  Return Due On  Physical Location 
I05872 


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35.


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 
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Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I05470 


On Shelf 




38.
 
Title  Advances in multivariate statistical methods 
Author(s)  Ashis SenGupta (ed.) 
Publication  New Jersey, World Scientific Publishing Co. Pvt. Ltd., 2009. 
Description  xiv, 477p. 
Series  (Statistical science and interdisciplinary research) 
Abstract Note  This volume contains a collection of research articles on multivariate statistical methods, encompassing both theoretical advances and emerging applications in a variety of scientific disciplines. It serves as a tribute to Professor S N Roy, an eminent statistician who has made seminal contributions to the area of multivariate statistical methods, on his birth centenary. In the area of emerging applications, the topics include bioinformatics, categorical data and clinical trials, econometrics, longitudinal data analysis, microarray data analysis, sample surveys, statistical process control, etc.

ISBN,Price  9789812838230 : US $108.00(HB) 
Classification  519.237

Keyword(s)  1. BIOINFORMATICS
2. DATA ANALYSIS
3. EBOOK
4. EBOOK  WORLD SCIENTIFIC
5. ECONOMETRICS
6. MULTIVARIATE STATISTICS

Item Type  Book 
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Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
023017 

519.237/SEN/023017 
On Shelf 



OB1161 

519.237/SEN/ 
On Shelf 



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