Computational prediction of RNA-protein interaction partners and interfaces

نویسندگان

  • Usha Muppirala
  • Usha Kiran Muppirala
  • Heike Hofmann
  • Guang Song
  • Edward Yu
چکیده

v CHAPTER 1. GENERAL INTRODUCTION 1 Overall Goals 2 Dissertation Organization 3 References 5 CHAPTER 2. COMPUTATIONAL TOOLS FOR INVESTIGATING RNA-PROTEIN INTERACTION PARTNERS 7 Abstract 7 Introduction 8 RNA-Protein Partner Prediction Methods and Web Servers 9 Web servers for partner prediction 14 RNA-Protein Interface Prediction Methods 15 Sequence and structural motifs in RNA-protein interfaces 17 RNA-Protein Interaction Databases 18 PRD 20 NPInter 21 RPIntDB 21 PRIDB 22 RBPDB 22 Future Directions 23 Acknowledgements and Funding 24 Supplementary materials 25 Machine Learning Classifiers 25 Performance Evaluation Metrics 26 Comparison of RPISeq classifier with Wang et al.’s method 28 References 29 CHAPTER 3. PREDICTING RNA-PROTEIN INTERACTIONS USING ONLY SEQUENCE INFORMATION 34 Abstract 34 Background 34 Results 34 Conclusions 35 Background 35 Results 37 RPISeq classifiers can reliably predict RNA-protein interactions 39 Comparison with other methods for predicting RNA-protein interactions 41 Predicting ncRNA-protein interaction networks 43 Discussion 49 Sequence-based prediction of RNA-protein interactions 49

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Study of PKA binding sites in cAMP-signaling pathway using structural protein-protein interaction networks

Backgroud: Protein-protein interaction, plays a key role in signal transduction in signaling pathways. Different approaches are used for prediction of these interactions including experimental and computational approaches. In conventional node-edge protein-protein interaction networks, we can only see which proteins interact but ‘structural networks’ show us how these proteins inter...

متن کامل

Sequence-based prediction of RNA-protein interactions

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xxiv CHAPTER 1. OVERVIEW . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.1 Dissertation Organization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.2 Experimental Methods to Identify RNA-Protein Interactions . . . . . . . . . . 4 1.3 Computational Prediction of RNA-Protein Interfaces ....

متن کامل

Computational Tools for Investigating RNA-Protein Interaction Partners

RNA-protein interactions are important in a wide variety of cellular and developmental processes. Recently, high-throughput experiments have begun to provide valuable information about RNA partners and binding sites for many RNA-binding proteins (RBPs), but these experiments are expensive and time consuming. Thus, computational methods for predicting RNA-Protein interactions (RPIs) can be valua...

متن کامل

Deciphering Protein–Protein Interactions. Part II. Computational Methods to Predict Protein and Domain Interaction Partners

Recent advances in high-throughput experimental methods for the identification of protein interactions have resulted in a large amount of diverse data that are somewhat incomplete and contradictory. As valuable as they are, such experimental approaches studying protein interactomes have certain limitations that can be complemented by the computational methods for predicting protein interactions...

متن کامل

A novel protocol for three-dimensional structure prediction of RNA-protein complexes

Three-dimensional structures of RNA-protein complexes are crucial for understanding their diverse functions. However, the number of the RNA-protein complex structures solved by experiments is still limited at present. To solve this problem, some computational protocols have been proposed to predict three-dimensional RNA-protein complex structures. But the prediction accuracies of these protocol...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2016