Stanford University · Mathematics & StatisticsDror Drug Design Lab
Ron Dror · Stanford, California
Research Focus
Dr. Ron Dror's lab focuses on using advanced computational methods, including machine learning, to discover effective drugs by understanding protein structures. The lab seeks to design molecules that can bind selectively to protein targets, aiming to improve the drug design process and minimize side effects. By integrating experimental laboratory work with computational simulations, the research will help create safer and more effective therapeutic options for various diseases.
machine learningdrug discoveryprotein structuresmolecular simulationG protein-coupled receptorsligand bindingcomputational biochemistrytherapeuticsartificial intelligence
Research Aims
5AIM 01Develop machine learning methods to predict binding affinities of chemical compounds.
AIM 02Design drug-like ligands that selectively interact with protein targets.
AIM 03Investigate the mechanisms of GPCR signaling modulation by drugs.
AIM 04Create a framework for structure-based drug design using computational methods.
AIM 05Enhance the collaboration between computational techniques and experimental studies.
Skills the Lab Values
molecular dynamics simulationsmachine learning techniquesstructural biologydrug design algorithmsprotein-ligand interaction predictioncomputational modelingcryoelectron microscopybiostatisticsdata analysis in biochemistry
Output against the department
Publications363top 29% of dept.38th of 131
this lab
most publishedleast published
Citations49ktop 8% of dept.10th of 131
this lab
most citedleast cited
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