Center for Computational Biology

Featured News

Center for Computational Biology Mystery Solved About the Machines That Move Your Genes By Thomas Sumner

Congestion causes the mass of tubes and motors that form chromosome-dividing spindles to move at full speed instead of slowing to a crawl, new research reveals.

The Center for Computational Biology develops new and innovative methods of examining data in the biological sciences whose scale and complexity have historically resisted analysis.

CCB’s mission is to develop modeling tools and theory for understanding biological processes and to create computational frameworks that will enable the analysis of the large, complex data sets being generated by new experimental technologies.

Groups

Biophysical Modeling The Biophysical Modeling group focuses on the modeling and simulation of complex systems that arise in biology and soft condensed matter physics. Read More

Developmental Dynamics The Developmental Dynamics group combines experiments, theory and computing to elucidate the contributions of encoded genomic instructions and self-organizing physical mechanisms to embryonic development. Read More

Genomics An immensely complex molecular network of interactions forms the foundation of human biology and disease. Genomic approaches provide a particularly illuminating window to biological systems, and when combined with advanced analysis allow us to learn and model this complexity. Read More

Structural and Molecular Biophysics Collaboration Underlying all biological processes are molecules and their interactions with each other. However, our ability to understand how these molecules function over biologically relevant scales remains very limited. Read More

Systems Biology At the Systems Biology group, we are developing new methods to learn the networks that run life’s program. Read More

News & Announcements

March 22, 2021

Fruit Fly Egg Takes an Active Hand in Its Own Growth, Highlighting Parallels to Mammals

February 04, 2021

CCB and CCM Collaborate to Create the New Structural and Molecular Biophysics Team

January 13, 2021

Mathematics Explains How Giant Whirlpools Form in Developing Egg Cells By Thomas Sumner

Upcoming Events

May 2021

11 Tue
- Meeting 5:00 - 6:00 PM
  DevDy Group Meeting
13 Thu
- Meeting 1:00 - 2:00 PM
  Genomics Group Meeting
14 Fri
- Meeting 2:00 - 3:00 PM
  Drosophila Journal Club
17 Mon
- Meeting 10:00 - 11:00 AM
  Systems Biology Group Meeting
- Meeting 10:00 - 11:00 AM
  Biophysical Modeling Group Meeting
20 Thu
- Meeting 1:00 - 2:00 PM
  Genomics Group Meeting
24 Mon
- Meeting 10:00 - 11:00 AM
  Systems Biology Group Meeting
- Meeting 10:00 - 11:00 AM
  Biophysical Modeling Group Meeting
- Meeting 10:00 - 11:00 AM
  Biophysical Modeling Group Meeting
25 Tue
- Meeting 5:00 - 6:00 PM
  DevDy Group Meeting

Research Highlights

May 1, 2021

A stable and accurate scheme for solving the Stefan problem coupled with natural convection using the Immersed Boundary Smooth Extension method

J. Huang, M. Shelley, D. Stein

The dissolution of solids has created spectacular geomorphologies ranging from centimeter-scale cave scallops to the kilometer-scale “stone forests” of China…

Journal of Computational Physics

April 28, 2021

SynNotch-CAR T cells overcome challenges of specificity, heterogeneity, and persistence in treating glioblastoma

J. Choe, P. Watchmaker, M. Simic , ..., O. Troyanskaya, et al.

Two major hurdles in chimeric antigen receptor (CAR) T cell therapy for solid tumors are ensuring specificity to tumor cells…

Science Translational Medicine

April 26, 2021

MHCEpitopeEnergy, a Flexible Rosetta-Based Biotherapeutic Deimmunization Platform

B. Yachnin, V. Mulligan, S. Khare, C. Bailey-Kellogg

As non-“self” macromolecules, biotherapeutics can trigger an immune response that can reduce drug efficacy, require patients to be taken off…

Journal of Chemical Information and Modeling

Director

Michael Shelley, Ph.D.

Director, CCB

Michael Shelley joined the Simons Foundation in 2016 to work on the modeling and simulation of complex systems arising in physics and biology.

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