Stony Brook University · BiochemistryThe Allosteric Engine
Ivet Bahar · Stony Brook, New York
Research Focus
Dr. Ivet Bahar's lab focuses on understanding how proteins function through computational methods, particularly in relation to allosteric modulation and drug discovery. The lab uses cutting-edge techniques to model proteins and predict the effects of mutations, which can inform therapeutic strategies and precision medicine. They combine principles from physics, biology, and artificial intelligence to develop tools that are accessible to other researchers.
allosterycomputational biologymachine learningprotein engineeringdrug discovery
Research Aims
3AIM 01Develop tools to model the effects of allosteric modulators on proteins.
AIM 02Enhance prediction capabilities for the effects of mutations on protein stability.
AIM 03Bridge molecular and systems-level resources to support drug discovery.
Skills the Lab Values
protein modelingmachine learning algorithmselastic network modelsmolecular dynamics simulationsdata analysiscomputational drug designbioinformaticsmutation predictionstructural biology
Output against the department
Publications588top 7% of dept.28th of 402
this lab
most publishedleast published
Citations36ktop 7% of dept.30th of 402
this lab
most citedleast cited
Career totals from OpenAlex, compared against labs that share a department. A department spans everything from one paper to tens of thousands, so bar heights are on a log scale — otherwise the largest lab would flatten every other bar to a line.