Stanford University · BiologyLevitt Lab
Michael Levitt · Stanford, California
Research Focus
Dr. Michael Levitt's lab at Stanford University focuses on using computational biology to understand complex systems, ranging from virus spread to protein dynamics. The lab employs cutting-edge techniques like deep learning to refine protein structures, which could advance drug development. Additionally, they analyze the spread of diseases through simulations and data analysis, aiming to uncover patterns that can help control viral outbreaks.
computational biologydeep learningprotein structureepidemic modelingribosome dynamicsSARS-CoV-2drug discoverydata analysiscomplex systems
Research Aims
5AIM 01Refine protein structures using deep learning techniques.
AIM 02Analyze ribosome dynamics to understand peptide stalling.
AIM 03Model and simulate the spread of SARS-CoV-2 using epidemic analysis.
AIM 04Explore the connection between complex systems and public health.
AIM 05Investigate the behavior of molecular systems to aid in drug discovery.
Skills the Lab Values
molecular dynamics simulationsdeep learning techniquesprotein structure refinementcomputer programmingcurve fittingdata analysisepidemic modelingmacromolecular simulationsnetwork simulation
Output against the department
Publications297top 19% of dept.194th of 1,033
this lab
most publishedleast published
Citations34ktop 9% of dept.95th of 1,033
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.