Call for Papers
Computer-Aided Drug Design
Hawaii International Conference on System Sciences - 26
Biotechnology Computing Track
Koala, Kauai, January 5 - 8, 1993
Co-chairs: Teri E. Klein, University of California, San Francisco
Kimberle Koile, Arris Pharmaceutical Corporation
The Hawaii International Conference on System Sciences (HICSS) - 26
announces a call for papers for the Biotechnology Computing Minitrack on
the topic of Computer-Aided Drug Design. This minitrack will focus on
current research in computer-aided drug design and areas of expected
advances in the field.
Computer-aided drug design is a major component in the study and
solution of problems in biotechnology. Ideally, it will enable
scientists to rapidly and efficiently propose chemical structures that
may achieve significant biological effects, thereby saving many years
and millions of dollars in drug development. The task of drug design is
very difficult and ill-defined, and there are no theoretical methods for
predicting a priori which structures will have the desired biological
properties without harmful side effects. Methodologies have been
developed, however, that are showing great promise in the quest for
"intelligent" or "rational" approaches to drug design. Consequently,
the area of computer-aided drug design has experienced a tremendous
growth over the last few years as modern methods of theoretical
calculations have improved notably and have been successfully combined
with sophisticated graphics techniques and fast computer hardware. The
field is also starting to see dramatic results as artificial
intelligence techniques have moved from theoretical research
laboratories into practical problem-solving in the real world,
especially in the field of biomedicine.
Computer-aided drug design touches on many aspects of science
and computer technology, e.g. chemistry, molecular biology,
pharmacology, system and database design, machine learning,
pattern matching, and qualitative modeling. We invite
researchers working on one or more of the many facets of
computer-aided drug design to attend this minitrack, which will
provide a unique forum for cross-disciplinary collaborations.
Such collaborations promise to significantly advance the field
of computer-aided drug design.
Papers are invited that describe the design and effective use of
computer tools in designing drugs. Suggested topics include, but are
not limited to:
. machine learning techniques in drug design
. systems for drug design, e.g. collaborative problem-solving
systems, intelligent assistants, systems that integrate a wide
variety of tools
. design and use of databases in molecular design
. molecular graphics techniques
. computer tools for molecular modeling
. computer tools for studying quantitative structure-activity
relationships (QSAR)
INSTRUCTIONS FOR AUTHORS
Manuscripts should be 22-26 typewritten, double-spaced pages in 10 or 12 point
type. Please do not send submissions significantly longer or shorter.
Papers must not have been previously presented or published,
nor currently submitted for journal publication. Each manuscript will
be refereed by five reviewers. Manuscripts should include a title page
that identifies the title of the paper, the
full name(s) of the author(s), affiliation(s), complete mailing and electronic
address(es), telephone number(s) and a 300 word abstract of the paper.
Deadlines:
* A 300 word abstract is due by April 15, 1992
* Feedback to the author concerning the abstract by April 30, 1992
* Six copies of the manuscript are due by June 5, 1992
* Notification of accepted papers by August 31, 1992
* Accepted camera ready manuscripts are due by October 1, 1992
Send submissions and questions regarding the Computer-Aided Drug Design
minitrack to:
Teri E. Klein
University of California, San Francisco
513 Parnassus Avenue, Box 0446
San Francisco, California 94143
(415) 476-0663
(415) 502-1755 (fax)
klein at cgl.ucsf.edu
Other minitracks to be held at HICSS-26 in the Biotechnology Track are:
* Computer Support for Genome Mapping and Sequencing
* Methods for Dealing with Errors and Uncertainty in Molecular Biology
Calculations and Databases.
* Sequence Analysis Algorithms based on Physicochemistry and
Thermodynamics
* AI technologies for Molecular Biological Analysis
* Protein Structure Prediction
* Alternative Approaches to Sequence Representation
* Simulation Methods in Computational Neuroscience
For general inquiries, including how to contact other minitrack chairs,
please contact the Track chair:
Lawrence Hunter
National Library of Medicine
Building 38A, Mail Stop 54
Bethesda, Maryland 20894
(301) 496-9300
(301) 496-0673 (fax)
hunter at nlm.nih.gov
