Research & Development
Gilson Laboratory


  R & D
  Group Members
  Rsrch Environmnt
  Graduate Studies
  Postdoc. Studies
  Publications
  Gilson Bio
  Contact Us


  Lab Home

Overview

Our work focuses on the application of theory, computer models, and informatics to noncovalent binding and molecular recognition. We are particularly interested in developing software and data resources that will be of value in understanding these phenomena and in designing molecules that bind to specific targets. See our publications for more information on the material below.

The support of the NIH's National Institute of General Medical Sciences is gratefully acknowledged.


Research Highlights

Theory
  • Theoretical formulation for computing the free energy of binding that accounts correctly for standard concentration.
  • "Double decoupling" method of computing binding free energies via thermodynamic integration or free energy perturbation.
  • Theory justifying use of an implicit solvation model in binding calculations.
  • Correction of MINTA's neglect of Jacobian determinant.
  • Theory for calculating affinities of weak-binding complexes, with proposed definition of the "bound complex".
  • Development of an entropy expansion that approximates the entropy of a molecule in terms of singlet, doublet, and higher-order correlation terms.
Methods
  • Conformational search algorithm suitable for macrocycles and host-guest complexes.
  • Calculation of molecular configurational integrals by summing over energy minima. First generation method only sampled torsion angles. second generation method (M2) samples all degrees of freedom and can be used for macrocycles and complexes.
  • Docking algorithm and software.
  • Demonstration that homology models of proteins can be used for compound screening by docking.
  • Fast algorithm for finding symmetries of molecules and complexes.
  • Rapid assignment of high-quality partial charges to drug-like compounds.
Applications and Insights
  • Explanation of affinity trends in a series of HIV protease inhibitors.
  • Identification of proflavine as an inhibitor of inhibitor of RRE binding to Rev.
  • Accurate calculation of host-guest affinities: synthetic adenine and barbiturate receptors; molecular clips and tweezers; cyclodextrin-drug complexes.
  • Discovery that host-guest binding is accompanied by large losses in configurational entropy.
  • Evidence that physics-based docking energies overestimate free energies because they neglect large losses in configurational entropy.
Informatics
  • BindingDB, web-accessible database of measured binding affinities.
Last modified: