**The peer-reviewed bilingual electronic journal publishes original scientific articles in Russian and/or in English.**

**The founder (publisher) of the Journal is the ****Institute of Mathematical Problems of Biology** **of the Russian Academy of Sciences.**** **

**The Journal was founded in 2006. It is indexed by Scopus, Chemical Abstracts Service (CAS), Russian Index of Scientific Citation, ** **Ulrich's Periodicals Directory**, **All-Russian Mathematical Portal Math-Net.Ru.**

**ISSN 1994-6538**

Modern biology began to produce unprecedentedly huge volumes of experimental data. Comprehending of them is impossible without involvement of modern information technologies and effective mathematical methods of data analysis, of modeling of biological systems and processes.

Progress of the humanity in the XXI century will be inseparably linked with biology and informatics. Responses to many global challenges, which the contemporary civilization faces, critically depend on development of these sciences, of their interaction and application of their achievements.

As a response to this urgent need, a new scientific field - mathematical biology and bioinformatics - appears. This sphere of knowledge is aiming at solving of the task of studying of biological objects by the methods of biology and informatics. The most impetuous progress of information technologies occurred in the last decades of the XX century, coinciding chronologically with the revolution in biology. Among the most impressive achievements of informatics are:

- personal computers with high efficiency, which allowed wide distribution of information technologies in all spheres of knowledge, including biology; superpower computing systems (supercomputers and super large computing clusters);

- super large information carriers providing accumulation and saving of huge data volumes;

- worldwide Internet providing access to global distributed information resources and software;

- vast diversity of universal and special programming languages;

- methods of data analyzing based on achievements of the artificial intelligence theory;

- technologies of modelling of dynamics of supercomplex systems consisting of vast diversity of interacting elements.

Thereby possibility of mathematical way of assigning of the tasks of modeling of complex biological objects occurred. The tasks are related to solution of systems of equations of high dimensionality and nonlinear systems, to modeling of stochastic processes and other procedures, which are complicated in the sense of computation. The peculiarities of the problems, which are being solved, are: necessity to deal with large volumes of data, long times of computation, and special requirements to the productivity of computing equipment. Besides, latest network technologies and distributed resources (data bases, specialized computational servers) are actively used. To realize this new scientific field, integrating of efforts of biologists, mathematicians and professionals in information technologies is necessary. We hope that the journal will help with this.

The "The Mathematical Biology and Bioinformatics" is the first Russian online journal in the field of applying the techniques of computer science, applied mathematics, statistics and engineering to solving complex biological problems. Its main topics are:

- Bioinformatics, which applies algorithms and statistical techniques to the interpretation, classification and understanding of huge biological datasets.

- Mathematical biology, wich aims at the mathematical representation, treatment and modeling of biological processes, using a variety of applied mathematical techniques and tools.

- Computational genomics, which studies the genomes of cells and organisms.

- Molecular modeling, which consists of modelling the behaviour of molecules of biological importance.

- Biomolecule structure prediction and structural genomics.

- Computational biochemistry and biophysics, which make extensive use of structural modeling and simulation methods such as molecular dynamics and Monte Carlo method-inspired Boltzmann sampling methods in an attempt to elucidate the kinetics and thermodynamics of protein functions.