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Key research themes
1. How can integrated computational platforms enable accurate modeling and analysis of biological pathways at the genome and systems biology scale?
This research theme focuses on the development and refinement of comprehensive software environments and databases that integrate genomic, metabolic, and regulatory data to reconstruct, visualize, simulate, and analyze biological pathways at multiple scales. Accurate computational modeling enables prediction of metabolic fluxes, gene regulation interactions, phenotype outcomes, and supports comparative and evolutionary analyses. Addressing the challenges of data integration, pathway inference, and multi-omics analysis, these platforms provide essential tools for systems biology and metabolic engineering applications.
Key finding: Describes major advances in Pathway Tools software, notably the addition of components for metabolic modeling (MetaFlux), metabolic route search, reaction atom mappings, and omics data integration. The platform supports... Read more
Key finding: Presents new capabilities and refinements in Pathway Tools including enhanced metabolic modeling, improved PGDB management, expanded omics analysis tools, and new metabolic route search algorithms. The updated software... Read more
Key finding: Introduces PathWhiz, a web-based platform enabling creation of richly detailed, biologically accurate, colorful, and interactive pathway diagrams that are both human-readable and machine-parsable. Unlike typical schematic... Read more
2. What are the methodological advances in network-based functional analysis and graphical representations to understand biological pathway interconnections and regulatory logic?
This theme addresses the development of computational and graphical methods to explore functional relationships between pathways and to systematically represent complex biological interactions in a manner that is both biologically meaningful and computationally tractable. Efforts include algorithms to connect and cluster pathways for improved disease-related network elucidation, graphical notations that rigorously capture pathway logic to aid modeling and simulation, and high-quality curated signal transduction databases enabling network analyses and drug target identification.
Key finding: Develops PathwayConnector, a web tool that constructs complementary, fully connected networks by finding minimal sets of connecting pathways between user-supplied pathway lists derived from KEGG or Reactome. This approach... Read more
Key finding: Introduces the Edinburgh Pathway Notation (EPN), a graphical formalism that captures logical and state-transition based representations of biological pathways. EPN balances biological interpretability (usable by biologists)... Read more
Key finding: Describes TRANSPATH®, a manually curated, mammalian-centered database with extensive directed signaling reactions and interaction quality criteria. Its bipartite graph structure models molecules and reactions, enabling... Read more
Key finding: Reviews novel computational strategies that move beyond gene list enrichment by integrating network topology and multi-omics data to infer pathway activity and inter-pathway interactions. It distinguishes 'top-down'... Read more
3. How do biological processes and signaling pathways intertwine with metabolic regulation and mechanistic understanding at multiple scales?
This theme investigates the interplay between metabolism, signaling, cell cycle, and pathway architecture, emphasizing mechanistic explanations grounded in system-level views. It explores metabolic changes in health and disease including cancer, regulatory crosstalk between metabolism and cell proliferation programs, philosophical perspectives on mechanisms, and the evolutionary context of metabolic reprogramming, highlighting the importance of mechanistic reasoning and systems perspectives to describe biological complexity.
Key finding: Highlights molecular mechanisms linking cell cycle regulators such as cyclin-dependent kinases and cyclins with metabolic enzymes, showing that metabolism is temporally coordinated with cell division. The paper reviews... Read more
Key finding: Critically assesses the dominant 'new mechanist' account of biological explanation, outlining its utility in characterizing mechanisms as organized entities producing regular changes. The paper identifies limitations in... Read more
Key finding: Links metabolic alterations in tumors with physiological processes of tissue repair evolved through metazoan evolution. Argues cancer metabolic phenotypes represent antagonistic pleiotropy of tissue repair mechanisms,... Read more
Key finding: Summarizes recent empirical advances showing instructive and dynamic roles of metabolism in cell fate decisions during development and disease. Highlights mechanistic studies linking metabolic pathways such as glycolysis and... Read more
Key finding: Proposes a conceptual framework shifting from the reductionist, mechanistic biomedical model towards organismal systems medicine built on organicism and holism. Highlights limitations of mechanistic approaches in addressing... Read more