Heather Carlson, PhD
Prof. Carlson’s expertise is in the area of computer simulations, cheminformatics, bioinformatics, and structure-based drug design. She is a leader in the incorporation of protein flexibility and allosteric control in drug design. She is also well known for her studies of protein-ligand binding and the biophysics of molecular recognition. She frequently collaborates with experimental groups on campus to test her models and methods, giving many of her students combined experimental and computational research experiences.
Carlson is also the director of two large, online resources for studying protein-ligand interactions: Binding MOAD (www.BindingMOAD.org) and the Community Structure-Activity Resource (www.CSARdock.org). These resources are used by numerous research groups around the world. She also serves the scientific community through NIH review panels and editorial roles for scientific journals.
For a complete listing of Carlson’s professional history, please see her CV.
Simulating the dynamic behavior of proteins and ligands
Understanding allosteric control and molecular recognition of ligands
Developing improved methods for structure-based and computer-aided drug discovery
Database mining of molecules and protein systems of biomedical importance
Evaluating data quality, statistics in cheminformatics, and database curation
- 2010 Novartis Chemistry Lectureship, Novartis
- 2009 Novartis Chemistry Lectureship, Novartis
- 2008 Corwin Hansch Award, The Cheminformatics and QSAR Society, Cheminformatics and QSAR Society
- 2006 Wiley International Journal of Quantum Chemistry Young Investigator Award, Chemistry Views
- 2002 Beckman Young Investigator Award, Arnold and Mabel Beckman Foundation, Arnold and Mabel Beckman Foundation
RD Smith, JJ Clark, A Ahmed, ZJ Orban, JB Dunbar Jr., HA Carlson. Updates to Binding MOAD (Mother of All Databases): Polypharmacology tools and their utility in drug repurposing. J. Mol. Biol. 2019, 431, 2423-2433.
P Ghanakota, D DasGupta, HA Carlson. Free energies and entropies of binding sites identified by MixMD cosolvent simulations. J. Chem. Info. Model. 2019, 59, 2035-2045.
JJ Clark, ML Benson, RD Smith, HA Carlson. Inherent versus induced protein flexibility: Comparisons within and between apo and holo structures. PLoS Comput. Biol. 2019, 15, e1006705.
RD Smith, J Lu, HA Carlson. Are there physicochemical differences between allosteric and competitive ligands? PLoS Comput. Biol. 2017, 13(11), e1005813.
J Lu, HA Carlson. ChemTreeMap: An interactive map of biochemical similarity in molecular datasets. Bioinformatics 2016, 32, 3584-3592.
P Ghanakota, HA Carlson. Moving beyond active-site detection: MixMD applied to allosteric systems. J. Phys. Chem. B 2016, 120, 8685-8695.
A Ahmed, RD Smith, JJ Clark, JB Dunbar Jr., HA Carlson. Recent improvements to Binding MOAD: a resource for protein–ligand binding affinities and structures. Nucl. Acids Res. 2015, 43, D465-D469.