DR-thermo

DR-thermo reconciles experimental thermodynamic data to estimate thermodynamically consistent Gibbs free energies of formation and reaction for biological reaction networks.

Key Features:

• Data Reconciliation Framework: Formulates constrained optimization problems to minimize measurement errors in experimental datasets.
• Thermodynamic Consistency: Enforces thermodynamic constraints so that estimated Gibbs free energies of reaction and formation are internally consistent.
• Handling Missing Data: Estimates missing Gibbs free energies of formation by leveraging the reconciliation framework, improving accuracy relative to empirical prediction methods.
• Improved Group Contribution Estimation: Enhances group contribution estimates for complex biological molecules using reconciled thermodynamic data.
• Guidelines for Experimental Design: Provides guidelines for designing systematic experiments to estimate unknown Gibbs formation energies.

Scientific Applications:

• Pathway Analysis: Enables accurate prediction of metabolic pathway feasibility by supplying thermodynamically consistent Gibbs free energy values.
• Metabolic Engineering: Supports strain and pathway design by providing reliable Gibbs free energy estimates for metabolic modelling.
• Drug Discovery and Development: Supplies accurate thermodynamic parameters relevant to biochemical interactions and reaction energetics involved in drug metabolism.

Methodology:

Integrates experimental data into a cohesive database and applies constrained optimization techniques to reconcile discrepancies, enforce thermodynamic constraints on Gibbs free energy values, and correct for measurement errors to improve estimation for incomplete datasets.