Event Detail (Archived)

Inaugural Peter H. Sellers Lecture

Dirichlet Mixtures, the Dirichlet Process, and the Topography of Amino Acid Multinomial Space

  • This event already took place in March 2017
  • Carson Family Auditorium (CRC)

Event Details

Type
Center for Studies in Physics and Biology Seminars
Speaker(s)
Stephen F. Altschul, Ph.D., senior investigator, National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health
Speaker bio(s)

In conjunction with this lecture, the Rita and Frits Markus Library has prepared an exhibit, Peter Sellers: A Pioneering Mathematician, A Renaissance Man, which is on view through June in Welch Hall, 2nd floor and online.
 

Open to
Public
Reception
Tea, 3:15 p.m. - 4:00 p.m., Lower Level Greenberg Building (CRC)
Contact
Melanie Lee
Phone
(212) 327-8636
Sponsor
Melanie Lee
(212) 327-8636
leem@rockefeller.edu
Notes
Abstract: The Dirichlet Process is used to estimate probability distributions that are mixtures of an unknown and unbounded number of components. Amino acid frequencies at homologous positions within related proteins have been fruitfully modeled by Dirichlet mixtures, and we have used the Dirichlet Process to construct such distributions. The resulting mixtures describe multiple alignment data substantially better than do those previously derived. They consist of over 500 components, in contrast to fewer than 40 previously, and provide a novel perspective on protein structure. Individual protein positions should be seen not as falling into one of several categories, but rather as arrayed near probability ridges winding through amino-acid multinomial space.