Research Articles
Benchmarking Network Reconstruction Methods: A Practical Guide for Biomedical Research and Drug Development
This article provides a comprehensive framework for benchmarking network reconstruction methods, essential for interpreting complex biological data in biomedical research and drug discovery.
From Code to Cure: A Practical Guide to Validating Systems Biology Models with Experimental Data
This article provides a comprehensive roadmap for researchers and drug development professionals on the critical process of validating systems biology models.
Comparative Analysis of Optimization Algorithms in Systems Biology: A Guide for Biomedical Researchers
This article provides a comprehensive comparative analysis of modern optimization algorithms for researchers and drug development professionals in systems biology.
Overcoming Computational Bottlenecks in Large-Scale Biological Network Analysis
This article addresses the critical computational challenges researchers face when analyzing large-scale biological networks, such as protein-protein interaction or gene regulatory networks.
Optimization Under Uncertainty in Biological Models: Strategies for Robust Drug Development and Clinical Translation
This article provides a comprehensive framework for applying optimization under uncertainty (OUU) to biological models, a critical approach for robust decision-making in pharmaceutical research and development.
Navigating Convergence Problems in Systems Biology Optimization: From Foundational Challenges to Advanced Solutions
This article provides a comprehensive examination of convergence problems encountered in optimization for computational systems biology.
Multi-Objective Optimization in Metabolic Engineering: Strategies for Robust Strain Design and Pharmaceutical Production
This article explores the critical role of multi-objective optimization in advancing metabolic engineering for pharmaceutical and chemical production.
Advancing Predictive Accuracy in Biological Networks: Integrating AI, Multi-Omic Data, and Causal Inference for Biomedical Discovery
Predictive modeling of biological networks is fundamental to understanding complex diseases, accelerating drug discovery, and enabling precision medicine.
AI-Driven Systems Biology: Revolutionizing Drug Target Identification and Validation
This article provides a comprehensive overview of how systems biology, powered by artificial intelligence and machine learning, is transforming the landscape of drug target identification.
Reconstructing Networks from Incomplete Data: Methods, Challenges, and Solutions for Biomedical Research
Incomplete data presents a significant obstacle in reconstructing accurate biological networks for drug development and systems biology.