The considerable "algorithmic complexity" of biological systems requires a huge amount of detailed information for their complete description. Although far from being complete, the overwhelming quantity of small pieces of information gathered for all kind of biological systems at the molecular and cellular level requires computational tools to be adequately stored and interpreted. Interpretation of data means to abstract them as much as allowed to provide a systematic, an integrative view of biology.

Most of the presently available scientific journals focus either on accumulating more data from elaborate experimental approaches, or on presenting new algorithms for the interpretation of these data. Both approaches are meritorious. However, since both communities do not interact much with each other, neither the experimental nor the computational biologists really apply the theoretical tools to that extent which would be possible and desirable to achieve that progress of research which is already feasible.

"In Silico Biology" is a successful attempt to bridge this gap for the sake of scientific progress.

The major focus of this journal shall be on the data acquisition, development, and applications of theoretical / mathematical / computational tools onto biological systems rather than on the description of new algorithms. Thus, the journal will focus on publication of:
- results of applied computational biology
- algorithms provided they are presented together with an application program
- systematic compilations of biological as well as computational results from various sources
- evaluation of original experimental data with biocomputational tools
- WWW-online resources for experimental scientists

Since the very beginning, the basic idea of "In Silico Biology" has been to promote the development of a more integrated view of living systems, answering the question: What can we learn for biology from this study? The computational method used may have been published earlier, but its application onto a certain molecular / cellular system should now provide some new insight into the way life is organizing itself. Thus, "In Silico Biology" aims at providing essential contributions to Systems Biology.
An international panel of known experts has been assembled for the Editorial Board. All papers will be peer-reviewed. "In Silico Biology" is listed in the PubMed database and participates in the LinkOut system, ensuring easy access to the full text articles. A publication time of less than 2 months is aimed at for the electronic version and about 3 months for the paper version.