图书介绍

Computational Prediction of Protein Complexes From Protein Interaction Networkspdf电子书版本下载

Computational Prediction of Protein Complexes From Protein Interaction Networks
  • Sriganesh Srihari 著
  • 出版社: Morgan & Claypool
  • ISBN:
  • 出版时间:2017
  • 标注页数:282页
  • 文件大小:125MB
  • 文件页数:299页
  • 主题词:

PDF下载


点此进入-本书在线PDF格式电子书下载【推荐-云解压-方便快捷】直接下载PDF格式图书。移动端-PC端通用
种子下载[BT下载速度快] 温馨提示:(请使用BT下载软件FDM进行下载)软件下载地址页 直链下载[便捷但速度慢]   [在线试读本书]   [在线获取解压码]

下载说明

Computational Prediction of Protein Complexes From Protein Interaction NetworksPDF格式电子书版下载

下载的文件为RAR压缩包。需要使用解压软件进行解压得到PDF格式图书。

建议使用BT下载工具Free Download Manager进行下载,简称FDM(免费,没有广告,支持多平台)。本站资源全部打包为BT种子。所以需要使用专业的BT下载软件进行下载。如 BitComet qBittorrent uTorrent等BT下载工具。迅雷目前由于本站不是热门资源。不推荐使用!后期资源热门了。安装了迅雷也可以迅雷进行下载!

(文件页数 要大于 标注页数,上中下等多册电子书除外)

注意:本站所有压缩包均有解压码: 点击下载压缩包解压工具

图书目录

Chapter 1 Introduction to Protein Complex Prediction 1

1.1 From Protein Interactions to Protein Complexes 6

1.2 Databases for Protein Complexes 11

1.3 Organization of the Rest of the Book 13

Chapter 2 Constructing Reliable Protein-Protein Interaction (PPI) Networks 15

2.1 High-Throughput Experimental Systems to Infer PPIs 15

2.2 Data Sources for PPIs 23

2.3 Topological Properties of PPI Networks 25

2.4 Theoretical Models for PPI Networks 27

2.5 Visualizing PPI Networks 31

2.6 Building High-Confidence PPI Networks 34

2.7 Enhancing PPI Networks by Integrating Functional Interactions 50

Chapter 3 Computational Methods for Protein Complex Prediction from PPI Networks 59

3.1 Basic Definitions and Terminologies 60

3.2 Taxonomy of Methods for Protein Complex Prediction 60

3.3 Methods Based Solely on PPI Network Clustering 61

3.4 Methods Incorporating Core-Attachment Structure 78

3.5 Methods Incorporating Functional Information 85

Chapter 4 Evaluating Protein Complex Prediction Methods 91

4.1 Evaluation Criteria and Methodology 91

4.2 Evaluation on Unweighted Yeast PPI Networks 93

4.3 Evaluation on Weighted Yeast PPI Networks 95

4.4 Evaluation on Human PPI Networks 99

4.5 Case Study:Prediction of the Human Mechanistic Target of Rapamycin Complex 103

4.6 Take-Home Lessons from Evaluating Prediction Methods 105

Chapter 5 Open Challenges in Protein Complex Prediction 107

5.1 Three Main Challenges in Protein Complex Prediction 107

5.2 Identifying Sparse Protein Complexes 112

5.3 Identifying Overlapping Protein Complexes 118

5.4 Identifying Small Protein Complexes 124

5.5 Identifying Protein Sub-complexes 134

5.6 An Integrated System for Identifying Challenging Protein Complexes 136

5.7 Recent Methods for Protein Complex Prediction 138

5.8 Identifying Membrane-Protein Complexes 141

Chapter 6 Identifying Dynamic Protein Complexes 145

6.1 Dynamism of Protein Interactions and Protein Complexes 145

6.2 Identifying Temporal Protein Complexes 149

6.3 Intrinsic Disorder in Proteins 156

6.4 Intrinsic Disorder in Protein Interactions and Protein Complexes 157

6.5 Identifying Fuzzy Protein Complexes 162

Chapter 7 Identifying Evolutionarily Conserved Protein Complexes 165

7.1 Inferring Evolutionarily Conserved PPIs (Interologs) 166

7.2 Identifying Conserved Complexes from Interolog Networks,Ⅰ 170

7.3 Identifying Conserved Complexes from Interolog Networks,Ⅱ 178

Chapter 8 Protein Complex Prediction in the Era of Systems Biology 185

8.1 Constructing the Network of Protein Complexes 185

8.2 Identifying Protein Complexes Across Phenotypes 189

8.3 Identifying Protein Complexes in Diseases 192

8.4 Enhancing Quantitative Proteomics Using PPI Networks and Protein Complexes 208

8.5 Systems Biology Tools and Databases to Analyze Biomolecular Networks 221

Chapter 9 Conclusion 225

References 233

Authors’ Biographies 279

精品推荐