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Computational Approaches In Molecular Interaction Analysis: Predicting Protein Complexes, Host-pathogen Interactions, And Protein Function From Interactome Data

Computational Approaches In Molecular Interaction Analysis: Predicting Protein Complexes, Host-pathogen Interactions, And Protein Function From Interactome Data

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ISBN

978-9819807178

Edition

1

Authors

Limsoon Wong

Publishers

World Scientific

Publisher Date

2025-02-18

Size

22.7 MB

Pages

300.0

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Computational Approaches In Molecular Interaction Analysis: Predicting Protein Complexes, Host-pathogen Interactions, And Protein Function From Interactome Data, 1, 2025 is a comprehensive biology reference published by World Scientific. Description By Limsoon Wong This book presents a curated collection of research articles from the Journal of Bioinformatics and Computational Biology, highlighting advances in protein-protein interaction-based computational methods for predicting protein complexes, host-pathogen interactions (HPIs), and protein functions.

Key Features

- This book presents a curated collection of research articles from the Journal of Bioinformatics and Computational Biology, highlighting advances in protein-protein interaction-…
- In Part I, it addresses the dynamic challenges of protein complex prediction using innovative techniques like GECA and IPC-RPIN, which integrate network topology, gene expression,…
- Part II focuses on HPIs, reviewing computational approaches, predictive models, and tools that enhance understanding of infectious diseases, with a particular emphasis on machine…
- Part III delves into protein function prediction, employing PPI networks, multi-label methods, and iterative models that account for dynamic interactions
- Collectively, these studies provide a comprehensive resource for advancing computational biology and understanding cellular and disease mechanisms
- Publisher ‏ : ‎ WSPC (February 25, 2025)
- Hardcover ‏ : ‎ 300 pages

Product Details

Publisher: World Scientific
Edition: 1
Published Year: 2025
Format: Publisher PDF
File Size: 22.7 MB
ISBN: 978-9819807178