JumpCount

JumpCount estimates uncertainties of free energy differences (ΔG0) between two states from molecular dynamics simulations using the number of forward and reverse transitions and the simulation temperature.

Key Features:

• Sparse-input estimation: Requires only forward and reverse transition counts and the simulation temperature as inputs to compute uncertainty for ΔG0.
• Confidence and standard-error outputs: Reports confidence intervals and standard errors for ΔG0 estimates, including 95% confidence intervals.
• Low-count precision: Demonstrates a 95% confidence interval smaller than ±1 kcal/mol with four forward and four reverse transitions.
• Exact intervals for Markovian two-state systems: Provides exact confidence intervals for two-state Markovian systems regardless of the total number of observed transitions.

Scientific Applications:

• Uncertainty quantification in free energy calculations: Quantifies uncertainty in ΔG0 estimates derived from molecular dynamics simulations.
• Validation of MD-derived free energies: Provides quantitative confidence measures to support validation and reporting of free energy differences from simulations.
• Analyses with limited transition data: Enables preliminary or resource-constrained analyses when only transition counts and temperature are available.

Methodology:

Applies the JumpCount statistical method to transition counts and temperature to estimate confidence intervals and standard errors for ΔG0 without using detailed trajectory data.