BioEn

BioEn refines ensembles of macromolecular structures by integrating experimental data with molecular dynamics simulations using Bayesian inference to produce ensemble-weighted structural models.

Key Features:

• Molecular dynamics ensemble generation: Generates initial structural ensembles using molecular dynamics simulations that capture conformational flexibility.
• Bayesian reweighting: Adjusts statistical weights of individual structures via Bayesian reweighting to reconcile simulations with experimental observables.
• Two complementary BioEn methods: Implements two complementary Bayesian inference of ensembles methods to address the high-dimensional weight-optimization problem.
• Integration of experimental observables: Incorporates experimental data such as NMR J-couplings into the reweighting procedure.
• Method evaluation: Includes systematic evaluation of the methods for reliability, accuracy, and computational efficiency.

Scientific Applications:

• Integrative structural biology: Combines simulations and experimental measurements for hybrid modeling and integrative structural biology studies.
• Ensemble refinement of flexible systems: Refines ensemble representations of flexible and intrinsically disordered proteins to improve structural fidelity.
• Demonstrated case study: Applied to an intrinsically disordered peptide, Ala-5, integrating molecular dynamics and NMR J-couplings data.

Methodology:

Generates initial structural ensembles via molecular dynamics simulations and applies Bayesian reweighting using two complementary BioEn approaches to adjust statistical weights of ensemble members to reconcile simulation-derived observables with experimental data.