TRP Channels in Drug Discovery Volume II 1st Edition by Arpad Szallasi, Tamás Bíró ISBN 978-1627030953 1627030953

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Product details: 

ISBN 10: 1627030953 

ISBN 13:  978-1627030953

Author: Arpad Szallasi, Tamás Bíró

Recent findings have implied a distinct therapeutic potential for drugs targeting Transient Receptor Potential (TRP) channels in a wide variety of diseases, many with no existing satisfactory treatment options. Thus, the TRP superfamily of ion channels has attracted a great deal of well-deserved attention.  TRP Channels in Drug Discovery provides a thorough collection of the most up-to-date reviews and protocols on the subject, coming from top experts in the field.  Volume II presents practical methodologies involving models for disorders of the cardiovascular system, the brain, skin, the metabolic system, as well as colitis, cancer, thermosensation, and musculoskeletal disorders.  Written for the Methods in Pharmacology and Toxicology™ series, this work includes the kind of detailed description and key implementation advice that ensures successful results in the lab.

 

Comprehensive and cutting-edge, TRP Channels in Drug Discovery serves as an ideal reference for graduate students in academic laboratories as well as for pharmaceutical scientists developing new drugs and clinicians interested in novel drugs in the pipeline.

Table of contents: 

1. Introduction to Financial Econometrics

1. Introduction

2. Financial Data and Returns

3. Distributions of Returns

4. Statistical Theories of Time Series

5. Model Selection

6. Estimation Methods

7. Application

2. Modeling Volatility in Financial Time Series

8. Introduction

9. ARCH Models

10. GARCH Models

11. Extensions of GARCH Models

12. Application of GARCH Models

13. Kurtosis of GARCH Models

3. Advanced Volatility Models

14. The CHARMA Model

15. Random Coefficient Autoregressive Models

16. The Stochastic Volatility Model

17. The Long-Memory Stochastic Volatility Model

18. An Alternative Approach

19. Application

4. Nonlinear Models and Their Applications

20. Nonlinear Models

21. Nonlinearity Tests

22. Modeling

23. Forecasting

24. Application

5. High-Frequency Data Analysis and Market Microstructure

25. Nonsynchronous Trading

26. Bid-Ask Spread

27. Empirical Characteristics of Transactions Data

28. Models for Price Changes

29. Duration Models

30. Nonlinear Duration Models

31. Bivariate Models for Price Change and Duration

6. Continuous-Time Models and Their Applications

32. Options

33. Continuous-Time Stochastic Processes

34. Ito’s Lemma

35. Distributions of Stock Prices and Log Returns

36. Black-Scholes Differential Equation

37. Black-Scholes Pricing Formulas

38. Jump Diffusion Models

39. Estimation of Continuous-Time Models

7. Extreme Values, Quantile Estimation, and Value at Risk

40. Value at Risk

41. RiskMetrics

42. Econometric Approach to VaR Calculation

43. Quantile Estimation

44. Extreme Value Theory

45. Extreme Value Approach to VaR

46. New Approach Based on Extreme Value Theory

8. Multivariate Time Series Analysis and Its Applications

47. Weak Stationarity and Cross-Correlation Matrices

48. Vector Autoregressive Models

49. Vector Moving-Average Models

50. Vector ARMA Models

51. Unit-Root Nonstationarity and Co-Integration

52. Threshold Co-Integration and Arbitrage

53. Principal Component Analysis

54. Factor Analysis

9. Multivariate Volatility Models and Their Applications

55. Reparameterization

56. GARCH Models for Bivariate Returns

57. Higher Dimensional Volatility Models

58. Factor-Volatility Models

59. Application

60. Multivariate Distribution

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Tags: Arpad Szallasi, Tamás Bíró, TRP Channels, Drug Discovery