A More Palatable H. pylori:
Iterative Model-Building through the Peer-Review Process
High-throughput technologies have necessitated the
development of mathematical models to describe the integrated function
of complex biological systems (T. Ideker, T. Galitski, and L. Hood, Annu.
Rev. Genomics Hum. Genet. 2:343-72, 2001). Such models differ
from traditional mechanistic models in that they welcome disproof. While
these comprehensive metabolic models will likely not be disproven in
their entirety, they must be constantly updated and revised piecewise as
new experimental information comes to light. The building of such models
is therefore an iterative and a collaborative process, in which in vivo
and in vitro experimental data is reconciled with the predictions of in
silico computations (M. W. Covert, C. H. Schilling, I. Famili, J. S.
Edwards, I. I. Goryanin, E. Selkov, and B. O. Palsson, Trends Biochem.
Sci. 26:179-186, 2001, and H. Kitano, Science 295:1662-1664,
2002). Interestingly, such an iterative model building process took
place through the peer-review process for the Helicobacter pylori 26695
metabolic model and derived systemic properties that appeared in a
recent issue of the Journal of Bacteriology (184:4582-4593).
The in silico H. pylori model and calculations
presented were the result of three stages of development, having twice
benefited from the peer review process prior to publication. After the
first submission, the reviewers suggested (among other things) that the
de novo synthesis of adenine be included in the model based on certain
physiological studies, although the genomic evidence for the pathway was
lacking. A second set of reviewers later suggested that fumarate
reductase identified in the genome be also treated as a succinate
dehydrogenase. In each of these (and other) cases, the model was changed
accordingly and the calculated predictions of the model were found to be
a more accurate representation of H. pylori behavior. The peer
review process therefore made a substantial unrecognized contribution to
this in silico H. pylori model.
In certain cases, the reviewers' comments also raised
new questions, which have yet to be explored. For example, one reviewer
question inclusion of malate synthase, the second half of the glyoxylate
bypass, with isocitrate lyase (the first half) asserted to be absent.
Our subsequent analysis indicated that the malate synthase reaction was
essential to our H. pylori network to convert the glyoxylate
produced as a by-product of folate biosynthesis. This nonintuitive
finding warrants further experimental investigation.
Is the resultant H. pylori model finished? Of
course not; much remains to be done. We naturally hope that interested
readers will attempt to use the in silico model and predictions
presented, and identify areas where the model needs to be corrected or
updated in light of new information, leading to a more accurate
metabolic model of H. pylori. Accordingly, we wish to thank our
reviewers for setting the example with their constructive, or perhaps
more accurately, their reconstructive evaluations of our work, and also
hope to encourage "wet" and "dry-lab" biologists to
continue working together in building and curating comprehensive
mathematical models of biological systems.
M. W. Covert
B. O. Palsson
University of California, San Diego
C. H. Schilling
Genomatica, Inc.
San Diego, Calif.