Computational Approaches In Molecular Interaction Analysis: Predicting Protein Complexes, Host-pathogen Interactions, And Protein Function From Interactome Data (Original PDF from Publisher)

Description

Computational Approaches in Molecular Interaction Analysis (1st Edition, 2025) is an authoritative resource for researchers, bioinformaticians, systems biologists, and graduate students involved in molecular biology, computational biology, and bioinformatics. This book provides a comprehensive overview of state-of-the-art computational techniques for analyzing protein-protein interaction (PPI) networks and interactomes, with a focus on predicting protein complexes, deciphering host-pathogen relationships, and annotating protein functions. It bridges computational models and biological insights, making it invaluable for those working at the interface of biology and data science.

Key Features & Highlights
Covers advanced computational frameworks for interactome data analysis
Emphasizes practical applications in predicting protein complexes and host-pathogen interactions
Discusses machine learning, network theory, and statistical methods applied to molecular interaction networks
Includes real-world case studies and datasets for hands-on learning
Authored by leading experts in molecular interaction analysis
Ideal for use in academic research, biotechnology, and pharmaceutical studies

Major Chapters / Topics Covered
Includes core chapters on:

• Computational prediction of protein complexes from large-scale interactome data
• Modeling host-pathogen protein-protein interactions
• Functional annotation of proteins using network-based methods
• Integrative approaches combining omics data with interactome analysis
• Future directions in computational interactomics

About the Author
This work is authored by a team of renowned researchers from leading institutions, specializing in computational biology, bioinformatics, and systems biology, with extensive publications on protein interaction networks and molecular systems analysis.

File Format & Technical Details
Format: Original PDF (from publisher, 2025 edition)
File size: Approx. varies by publisher specifications (high-resolution figures included)
Language: English
Compatibility: Compatible with all devices supporting PDF (Windows, Mac, iOS, Android, eReaders like Kindle & Kobo)

FAQs

Is this the original publisher’s PDF or a converted file?
Yes, this is the original publisher PDF, preserving the official formatting, figures, and layout as intended by the authors and publisher.

Is this book suitable for beginners in bioinformatics?
This book is best suited for readers with foundational knowledge of molecular biology or bioinformatics. It offers advanced insights ideal for graduate students, researchers, and professionals looking to deepen their expertise in molecular interaction analysis.