The Samuel J. and Joan B. Williamson Institute for Pharmacometrics
Pharmacometrics has tremendous potential to influence decision making in drug development through the creation and application of mathematical models that define, challenge and resolve questions surrounding biological processes. The Samuel J. and Joan B. Williamson Institute for Pharmacometrics is a center for academic excellence training the next generation of pharmacometricians. It is housed is in a fully renovated research laboratory with computer resources complete with highly sophisticated software packages designed specifically for quantitative analysis in the areas of pharmacokinetics, pharmacodynamics and drug design.
Dr. David Taft is a Professor and an Interim Director of the Williamson Institute at Long Island University, Brooklyn. You are invited to contact Dr. Taft should you have projects that you feel fit into the Williamson Institute’s capabilities.
In Silico Technologies at the Institute
Laboratory for Pharmacokinetic Research
- Structure-based molecular and computational drug design
- Population-based pharmacokinetic modeling and simulation
- In vitro in vivo correlation
- Pharmacokinetic analysis (non-compartmental, compartmental, PBPK)
The Institute collaborates closely with the Laboratory for Pharmacokinetic Research. This facility contains instrumentation and equipment to support in vitro and in vivo studies to evaluate drug absorption, distribution, metabolism and excretion (ADME), including automated HPLC systems, centrifuges, balances, and spectrophotometers. Additionally, the laboratory has two complete systems for perfused organ experiments (kidney, liver) studies.
Laboratory of Structure-based Molecular and Computational Drug Design
This laboratory operates with computational and structure-based drug design in medicinal chemistry, biochemistry and molecular biology. The laboratory is equipped with Schrödinger Small Molecule Drug Discovery Suite used for in silico compound docking and analysis. In addition, Molecular Dynamic simulation, residue scanning, site map prediction, free energy perturbation (FEP) calculations, and macromolecular X-ray crystallography are available.