Chromatin folding from the Bottom up

Bin Zhang (MIT, Cambridge)

Mar 17. 2020, 15:10 -- 15:50

Chromatin plays an active role in regulating gene expression, and a detailed structural characterization will be crucial for revealing its structure-function relationship. A high-resolution characterization of chromatin structure and dynamics is challenging to the due to the computational cost associated with its large system size. Using a near-atomistic model that accurately describes protein-DNA interactions, we determined the folding landscape of a key chromatin structural motif, the tetra-nucleosome. A novel deep learning framework was developed to calculate the high-dimensional free energy surface efficiently and to explore the optimal folding coordinate and pathways. The impact of histone modifications and the binding of Polycomb Repressor Complex 2 (PRC2) on chromatin folding was investigated as well.

Further Information
ESI Boltzmann Lecture Hall
Associated Event:
Chromatin Modeling: Integrating Mathematics, Physics, and Computation for Advances in Biology and Medicine (Thematic Programme)
Christos Likos (U Vienna)
Stephanie Portillo (NYU, New York)
Tamar Schlick (NYU, New York)