Institute Of Mathematical Problems Of Biology
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The Institute of Mathematical Problems of Biology RAS (russian: link=no, Институт математических проблем биологии) is a research institute specializing in
computation Computation is any type of arithmetic or non-arithmetic calculation that follows a well-defined model (e.g., an algorithm). Mechanical or electronic devices (or, historically, people) that perform computations are known as ''computers''. An es ...
al biology and
bioinformatics Bioinformatics () is an interdisciplinary field that develops methods and software tools for understanding biological data, in particular when the data sets are large and complex. As an interdisciplinary field of science, bioinformatics combi ...
. The objective of the institute is elaboration of mathematical and computational methods for biological research, as well as implementation of these methods directly addressing the problems of
computational biology Computational biology refers to the use of data analysis, mathematical modeling and computational simulations to understand biological systems and relationships. An intersection of computer science, biology, and big data, the field also has fo ...
. Since 2016, it has been renamed into the Institute of Mathematical Problems of Biology RAS – the Branch of Keldysh Institute of Applied Mathematics of Russian Academy of Sciences (IMPB RAS – Branch of KIAM RAS). The Institute publishes the scientific journal "''Mathematical biology & bioinformatics''".Official website o
the journal "Mathematical biology & bioinformatics"


Structure of the Institute

Affiliated to the Institute are: * Laboratory of Macromolecular Crystallography * Laboratory of Quantum-Mechanical Systems * Laboratory of Molecular Dynamics * Laboratory of Neural Networks * Laboratory of Applied Mathematics * Laboratory of Bioinformatics * Laboratory of Computational Ecology * Laboratory of Data Processing * Department of Prospective Information Technologies ** Group for Computer Modelling of Nanostructures and Biosystems * Department of Computing and Informational Resources


Scientific activity


Research directions

* Theoretical development; ** theoretical foundations of nanobioelectronics; ** development of spectro-analytical methods of data processing of results of biological experiments; ** development of numerical methods of data processing of results of biological experiments; ** analytical solutions of Integro-differential equations; ** methods of analysis of dynamical systems. *
Data processing Data processing is the collection and manipulation of digital data to produce meaningful information. Data processing is a form of ''information processing'', which is the modification (processing) of information in any manner detectable by an ...
** analysis of the activity of the human brain; ** development of methods for assessing biodiversity of vegetation cover; ** development of algorithms and programs for the study of genomic sequences; ** development of computer methods of research of the primary structures of
biopolymer Biopolymers are natural polymers produced by the cells of living organisms. Like other polymers, biopolymers consist of monomeric units that are covalently bonded in chains to form larger molecules. There are three main classes of biopolymers, cl ...
s; ** development of novel methods of deciphering the structure of complexes of biological macromolecules on the basis of data on the scattering of X-rays and neutrons; ** development of methods for obtaining, processing and analysis of
digital image A digital image is an image composed of picture elements, also known as ''pixels'', each with ''finite'', '' discrete quantities'' of numeric representation for its intensity or gray level that is an output from its two-dimensional functions ...
in biology and medicine. *
Computational biology Computational biology refers to the use of data analysis, mathematical modeling and computational simulations to understand biological systems and relationships. An intersection of computer science, biology, and big data, the field also has fo ...
** simulation of dynamics of biomolecular systems; ** neural network models of information processing in the brain structures; ** growing random graphs and their application in mathematical neurobiology; ** study of models of voltage-gated ion channels in excitable biomembranes; ** software for studying cell metabolism; ** Mathematical models in biomechanics; ** numerical solution of problems of
cardiophysics Cardiophysics is an interdisciplinary science that stands at the junction of cardiology and medical physics, with researchers using the methods of, and theories from, physics to study cardiovascular system at different levels of its organisation ...
. * Synergetics (including topics such as: dynamic system,
chaos theory Chaos theory is an interdisciplinary area of scientific study and branch of mathematics focused on underlying patterns and deterministic laws of dynamical systems that are highly sensitive to initial conditions, and were once thought to have co ...
,
nonequilibrium thermodynamics Non-equilibrium thermodynamics is a branch of thermodynamics that deals with physical systems that are not in thermodynamic equilibrium but can be described in terms of macroscopic quantities (non-equilibrium state variables) that represent an ext ...
,
systems biology Systems biology is the computational modeling, computational and mathematical analysis and modeling of complex biological systems. It is a biology-based interdisciplinary field of study that focuses on complex interactions within biological syst ...
) ** study of nonlinear models of autolocalized states in condensed matter; ** asymptotic methods and numerical modelling in the study of excitation waves; ** the theory of bifurcation in functional differential equations and phenomena
bifurcation memory Bifurcation memory is a generalized name for some specific features of the behaviour of the dynamical system near the bifurcation. General information The phenomenon is known also under the names of "''stability loss delay for dynamical bifur ...
. *
Bioinformatics Bioinformatics () is an interdisciplinary field that develops methods and software tools for understanding biological data, in particular when the data sets are large and complex. As an interdisciplinary field of science, bioinformatics combi ...
*
Concurrent computing Concurrent computing is a form of computing in which several computations are executed '' concurrently''—during overlapping time periods—instead of ''sequentially—''with one completing before the next starts. This is a property of a syst ...
** development of high-performance
computer cluster A computer cluster is a set of computers that work together so that they can be viewed as a single system. Unlike grid computers, computer clusters have each node set to perform the same task, controlled and scheduled by software. The comp ...
; ** CUDA technology.


Specialized research projects

* The project "Mathematical Cell";Official project website "Mathematical cell"
/ref> * The project "Generalized Spectral-Analytical Method" (GSAM).Proc. SPIE. Vol.2363. 1995. pp. 109–12
/ref>Proc. SPIE. Vol.2363. 1995. pp. 113–118
/ref>
/ref>


Teaching and social activities

On the basis of the institute, the mathematical faculty of the Pushchino UniversityOfficial website o
the Pushchino University
/ref> was founded in 1994. Starting from 2006, every two years Institute holds a conference "''Mathematical Biology and Bioinformatics''".


History


Milestones

The Institute of Mathematical Problems of Biology RAS (IMPB RAS) was founded in 1972. When organized, the Institute received the name of the Research Computing Centre (RCC) of the USSR Academy of Sciences. In 1992 the Research Computing Centre was reorganized into the Institute of Mathematical Problems of Biology RAS. As a result of the reorganization in RAS of 2015–16The order on accession IMPB to the KIAM
/ref> IMPB has become a branch of KIAM since 15 February 2016.


Principals

* 1972–98 Molchanov, Albert Makarievich, director, mathematician. * 1998–2016 Lakhno, Viktor Dmitrievich, director, mathematician. * since 2016 Lakhno, Viktor Dmitrievich, branch manager, mathematician.


Famous faculty and alumni

* Dedus, Florence Fyodorovich * Molchanov, Albert Makarievich * Shnol, Emmanuel El'evich


References


External links


Institute web site
{{authority control Educational institutions established in 1972 Mathematical institutes Institutes of the Russian Academy of Sciences Universities and institutes established in the Soviet Union Research institutes in the Soviet Union 1972 establishments in the Soviet Union