Daniel Fischer

dfischer@cs.bgu.ac.il

Current position:: Professor at Dept. Computer Science, Ben-Gurion University of the Negev, Israel
Areas of interest:

Bioinformatics.
Computational Structural Molecular Biology.
Computational analysis and interpretation of genomes.
Protein Fold Recognition.
Pattern Recognition in Biological Macromolecules.
Protein structure comparison.
Molecular Recognition and Docking of ligands onto receptor molecules.
Genomic ORFans.

Bioinformatics track.

List of Publications.

Undergraduate students are accepted for studies in our bioinformatics track with the Computer Science department.
Graduate students with a B.Sc. in Computer Science are also accepted. Students with a B.Sc. or B.A. in another area are also accepted but are required to complete various courses from the B.Sc. curriculum.

My research is aimed at a better understanding of life at the molecular level using "in silico" or computational tools. The goal is to interpret the information encoded in biological macromolecules, from individual proteins to complete genomes. Currently part of my research concentrates on the assignment of three-dimensional structures to the proteins encoded in a genome, as well as identifying the most interesting targets for further computational and experimental studies. More details on the individual projects are available upon request.
Please contact me if you want to learn about the research projects currently available in my group. I accept graduate students who want to be fully dedicated to research and do not work elsewhere. In compensation, I do my best so my students receive the highest possible scholarships.

Services.

bioinbgu, a fold-recognition server that Accepts amino acid sequences and searches for compatible three-dimensional structures.
MaxSub, a program to evaluate the quality of predicted protein structure models.
A list of published results of the users of our methods.
My very old UCLA 68-benchmark (not recommended).
B. Rost's PredictProtein mirror (after clicking, if a save window appears, just click `cancel' to continue.

Events

CAFASP5.
CAFASP4.
CAFASP3. A photo of us in Asilomar's beach.
The Most Wanted. Methods for protein structure prediction have matured to the point where models produced by prediction algorithms can be used to understand and test hypotheses about biological function. The goal of this community wide effort is to provide structural and functional insights into biologically important proteins, particularly those that are currently intractable to experimental structural determination. See also the Jan. 4, 2001, report on Nature .
CAFASP2.
LiveBench.
CAFASP1.

Teaching

Bioinformatics Seminar.
Mini project in Bioinformatics, Fall 2001-2002.
Bioinformatics, Theory and Practice .
Mini-project in Bioinformatics.
Optimization, Pattern Matching and Search Algorithms .
Data Structures .
Seminar B.
Intro C.S. Material for class is here or ( Last Years).

Links

U.S. Fischer Lab at fischerlab.cse.buffalo.edu.