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

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

€102.99
€103.99 Sale €102.99
Quantity:
In stock with our UK publisher. 14-28 days
Delivery/Collection within 10-20 working days
14 days return policy Shipping & Delivery
Age Group_Uncategorized
Age Group_Uncategorized
automatic-update
B01=Limsoon Wong
Bioinformatics
Biological Data
Biological Database Search
Category1=Non-Fiction
Category=PS
Category=PSAX
Category=UB
Category=UX
Category=UYM
Computational Biology
COP=Singapore
Database Management
Delivery_Pre-order
eq_bestseller
eq_computing
eq_isMigrated=0
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science
Language_English
Modeling
Networks
PA=Not yet available
Price_€50 to €100
PS=Forthcoming
softlaunch

Product details

  • ISBN 9789819807178
  • Publication Date: 24 Mar 2025
  • Publisher: World Scientific Publishing Co Pte Ltd
  • Publication City/Country: SG
  • Product Form: Hardback
  • Language: English
Secure checkout Fast Shipping Easy returns
Description
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. 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, and GO annotations to improve accuracy, especially for small complexes. Part II focuses on HPIs, reviewing computational approaches, predictive models, and tools that enhance understanding of infectious diseases, with a particular emphasis on machine learning applications. 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.