|
|
|
|
Seen at the daylong symposium
held by CERMM, Concordias Centre for Research in Molecular Modelling
are, left to right, Russell Boyd (Dalhousie University, plenary lecturer),
Gilles Peslherbe (Director, CERMM), Heidi Muchall (CERMM), Tony Whitehead
(McGill University), Dennis Salahub (Director-General, Steacie Institute,
NRC) and Ann English (CERMM).
McGill student Andrew Ryzhkov discusses his research with McGill Professor
Tony Whitehead.
Photos by Andrew Dobrowolskyj
|
by Anna Bratulic
The 15-month-old Centre for Research in Molecular Modeling (CERMM) held
its second annual symposium on Jan.19 in the DeSève Cinema. Forty-five
scientists and graduate students from the greater Montreal area presented
their research in the field of computational chemistry and biochemistry.
Growing academic activity
Chemistry Professor Russell Boyd, from Dalhousie University, gave the plenary
lecture. He traced the development of computational chemistry in Canada,
which began with the hiring of the countrys first theoretical/computational
chemist at the Université de Montréal in 1954. A subsequent
lull in the 1970s and 80s gave way to burgeoning academic activity in the
90s, as theoretical and computational chemistry began playing an increasingly
important role in chemistry, with the help of huge strides in computer technology.
Promoting excellence in research and graduate training in computational
chemistry is the raison dêtre of our annual symposium,
said CERMM Director Gilles Peslherbe. The event provides an opportunity
for graduate students, postdoctoral fellows and professors to discuss their
research and learn from each other. Students often find it easier to approach
professors in such a setting than at larger conferences.
Many of the presentations at the symposium, which were often focused on
the properties of materials, were given by graduate students from Concordia,
McGill, Université de Montréal and from members of the National
Research Council in Ottawa.
Part of the research carried out at CERMM is to develop tools and computer
programs that simulate chemical reactions and materials. CERMM recently
boosted its computer arsenal by adding more processors, bringing the total
to 128. Individual workstations are linked to reproduce the calculating
capacity of a super- computer.
Peslherbe expects that once CERMM moves into its new home in the Loyola
Science Complex, they will be in a position to upgrade all their equipment
in a major way, and to take their computing facility to another level.
Refining predictions
While quickly evolving technology is important in creating software packages
with predictive ability, computational chemistry is not at the stage where
all its predictions are 100-per-cent reliable. Biological molecules such
as proteins, for example, are very large and are composed of thousands of
atoms.
It is a challenge for the computational chemist to treat those large
systems, and thats where a lot of the effort goes. Computational chemistry
can make predictions, but were working on making those predictions
more and more realistic, Peslherbe said.
Of course, we will perform very realistic simulations of biological
systems and materials within the next few years. As the computer technology
advances, well be able to do a better job in terms of understanding
chemical reactions and their outcome, but you cant only rely on these
advances. You also have to keep up intellectually, by developing new simulation
techniques and new theories in order to understand these processes better.
|
|
|