[UCI-Calit2] Extracting Dynamics Information from Multiple Structures

[Anna Lynn Spitzer]

Title:                  Extracting Dynamics Information from Multiple
Structures

Speaker:             Robert L. Jernigan, Ph.D., director, L. H. Baker
Center for Bioinformatics & Biological Statistics; and professor,
Department of Biochemistry, Biophysics and Molecular Biology, Iowa State
University

 

Time:                  11 a.m.-noon

 

Date:                  Friday Jan. 25

 

Location:            Donald Bren Hall, Room 6011

 

Abstract:            Meaningful dynamics information can be extracted
from multiple experimental structures of the same, or closely related,
proteins or RNAs. The covariance matrix of atom positions is decomposed
into its principal components. Usually only a few principal components
dominate the motions of the structures. This dynamics information
provides strong evidence for the plasticity of protein and RNA
structures, and also suggests that these structures have a limited
repertoire of motions. Some mutants exhibit normal dynamics and others
show significantly perturbed dynamics.

 

Bio:                    Jernigan previously served as chief of the
molecular structure section, and deputy chief of the laboratory of
experimental and computational biology at the National Cancer Institute
of the National Institutes of Health. He received his bachelor's degree
in chemistry from the California Institute of Technology and his Ph.D.
in physical chemistry with Paul Flory (Nobel Laureate) from Stanford
University. Areas of research in his laboratory include computational
studies on the structures of proteins, nucleic acids and small
molecules, and their interactions. Jernigan's research is focused on the
comprehension of the functions of extremely large structures and
mechanism in general. He and his team have pioneered approaches to
coarse-grain molecular structures to facilitate the comprehension of
large structural behaviors. Applications are often made to develop new
molecular models and to investigate the molecular effectiveness of
drugs.

 

Additional Information: Event is open to the public and there is no cost
to attend. Seating is on a first-come, first-served basis. Anyone
wishing to meet with Jernigan is encouraged to contact Janet Ko at:
jko at uci.edu <mailto:jko at uci.edu> 

 

Talk is part of the Computer Sciences Seminar Series and is sponsored
jointly with the Institute for Genomics and Bioinformatics.

 

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