To create knowledge structures in order to apply
logical reasoning to biological knowledge across large data sets. One particular
biological organism of interest is Plasmodium falciparum, a causative
agent of human malaria. In addition to having a potential impact on human
health, another reason for studying parasites is that they are interesting from
a modeling perspective due to complex host-parasite interactions and lifecycle
changes.
Malaria Resources:
PlasmoCyc: a knowledge base of
Plasmodium falciparum metabolism.
PlasmoDB: a database of Plasmodium
sequences, annotations, and functional assignments.
Gene
Ontology: a controlled vocabulary for annotation of gene products by
molecular function, biological process, and cellular component.
Gene Ontology in
Protege: tools for importing Gene Ontology into a Protege project. Tools
also available for importing GO format annotations into an existing Protege
Project.
Publications:
Yeh I, Hanekamp T, Tsoka S, Karp PD, Altman RB.
Computational analysis of Plasmodium falciparum metabolism: organizing genomic
information to facilitate drug discovery. Genome Research. 2004 14(5):917-24. link
Yeh I, Karp
PD, Noy NF, Altman RB. Knowledge acquisition, consistency checking and
concurrency control for Gene Ontology (GO). Bioinformatics 2003 19(2):241-8. pdf
Peleg
M, Yeh I, Altman RB. Modeling biological processes using workflow and Petri Net
models. Bioinformatics 2002 18(6):825-37. link
Presentations:
BCATS 2002; Speaker: Using a Pathway/Genome Database for Plasmodium falciparum to find novel drug targets
Bioontologies 2002; Speaker: An Ontology for Subcellular Localization.
ISMB 2002; Poster: PlasmoCyc: A Pathway/Genome Database for Malaria
PSB 2002; Poster: Application of Protege-2000 to Gene Ontology
Malaria Bioinformatics International Workshop 2000,2001; Tutorial: Metabolic Pathways for the Malaria Parasite
Research Funding:
Burroughs Wellcome Fund
National Institute of
General Medical Sciences through the Medical Scientist Training
Program