Physics for Life Sciences

Here is one of the best places to get involved in the most wonderful and most complicated areas of knowledge. We train our students to push the boundaries of human understanding of space and time, of matter and energy from the nuclear to the cosmological. We offer the exploration of a universal nature to those who dare to know.

This field consists of 12 departments and 36 laboratories with 95 faculty members in research and teaching positions. The major research and educational goals of this field include investigation of the molecular mechanisms of aging and age-related diseases, cell and tissue engineering of heart and other organs, and biomedical engineering.

Raymond Stevens is the research manager of the field, and Sergey Leonov is the director.

List of laboratories

The laboratory of biophysics of excitable systems was established at MIPT in the end of 2010 as one of the laboratories of the “mega-grant” program of the Russian Government ( The main focus of the laboratory is the investigation of excitable biological tissues, such as cardiac tissue. For that purpose, methods for optical mapping of biological samples and tissue engineering techniques are being developed in the laboratory.

Our laboratory applies a multi-disciplinary, structural biological approach in which we combine computational methods with numerous biophysical techniques in order to find an answer to questions concerning the mechanisms of ligand recognition and signal transfer in GPCR.

The laboratory conducts research in the following areas: molecular genetic mechanisms of aging and lifespan, treatment of age-dependent pathologies with advanced target proteins, and geroprotective characteristics of various substances. The research employs methods of molecular and classical genetics with the use of various model systems (yeast, drosophila, mice, human cells, long-lived mammals and fish species), bioinformatics and systems biology. The laboratory conducts analysis of genomes and transcripts of animal species and model systems with delayed-aging and increased lifespan traits.

The laboratory’s mission is to develop innovative modified release dosage forms, including forms with prolonged and controlled release.

The laboratory conducts research in the following areas: interaction modeling in protein ligands, toxicity predicting, and QSAR modeling. The laboratory has engineered and implemented Smart Mining - a unique software system for studies in computational chemistry. The laboratory employs Kohonen artificial neural networks to predict specific target activity of compounds and their characteristics, such as CYP3A4 (Cytochrome P450) binding, hematoencephalic barrier permeation, plasma protein binding, acute toxicity, plasma half-life, etc.

The laboratory conducts research in tissue engineered bioconstruction with targeted organ or tissue replacement functions. The process of bioconstruction involves tackling a number of interdependent issues, such as creating a brassboard of a two-circuit perfusion system meant for artificial revitalization of an extracellular biological, combined, or artificial matrix; developing a vascular graft based on a revitalized, homogeneous, collagen and elastic matrix; developing sustained release peptide-based drugs from defined and standardized mesenchymal stem cells cultivated in ex vivo expansion conditions.

The laboratory was founded in autumn 2014 as part of MIPT’s Interdisciplinary Center for Fundamental Research. It hosts a regular workshop on genetic engineering for students of the Department of General and Applied Physics.

The Laboratory for the Development of Innovative Drugs conductsvalidation testing of approaches developed by Sharpless that aim to significantly improve the quality of drugs that affect biological and metabolic processes in the cell. New methods are based on the use of innovative click-chemistry, which is researched on different cell models, including carcinogenesis, inflammation and Alzheimer's and Parkinson's diseases. There is one doctor of sciences and six candidates of sciences among the staff working in the laboratory.

Development of personalized therapy for functional liver disorders based on transplantation of vascularized organoids. Development of the wound cover based on GAL-KO pig’s skin.

Laboratory web-page

Laboratory of Computer and Mathematical Modeling of Biological Systems was founded in Moscow Institute of Physics and Technology in 2016. It is lead by Artem Zhmurov, Philipp Orekhov and Valeri Barsegov, a visiting professor from University of Massachusetts at Lowell.

Work performance in medical equipment field, layout and prototyping, pre-production of different medical electronic measuring instruments.

              The Laboratory was founded in 2015 as a part of the MIPT Life Sciences Center for carrying out of fundamental and applied scientific researches in the field of neural systems and deep training for creation of computer intelligence.

Current Projects :
       -  iPavlov project
       -  The Conversational Intelligence Challenge
       -  DeepHack

The main project of the laboratory is the development of the system for the diagnostics of rare Mendelian disorders with a usage of the massive parallel sequencing technologies

The Laboratory of systems biology conducts the researches in the sphere of the problems of data integration of transcriptional, proteomic and metabolic activity of the genome of biological objects. In the research projects carried out in the sphere of post-genomic biology and medicine, not only information about the complete DNA sequence of the studied object is used, but also the persistence of the genome is studied, its micro- and macroheterogeneity is described as well as cause-and-effect relationships that occur in case of the DNA instability on the level of matrix RNA and proteins.

The development of teh development projects in the sphere of “life sciences” and strategic consulting in the sphere of biomedical technologies.

The study of the formation of rhythm, arrhythmia and fibrillation of the heart, the dynamics of vortex autowave structures by the method of computer simulation.

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