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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

David Broneske

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Open access Aug 2026

TOMOC: a topology-driven multi-objective evolutionary framework for robust overlapping protein complex detection in noisy PPI networks

The proposed TOMOC framework provides an effective and scalable topology-driven approach for detecting overlapping protein complexes directly from PPI network topology and demonstrates strong robustness when applied to large and noisy biological interaction networks.

Mustafa N. Abbas, David Broneske, G. Saake · 0 citations
Open access Jul 2026

TF-MOEA$^{+}$: A Multi-Objective Evolutionary Framework with Self-Adaptive Topological-Functional Mutation for Protein Complex Detection.

TF-MOEA, a multi-objective evolutionary framework built on NSGA-II and equipped with two biologically informed search operators, consistently outperforms all baseline methods considered in this study in both detection accuracy and functional relevance.

Mustafa N. Abbas, David Broneske, Gunter Saake · 0 citations

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