Nikolay Kolchanov – författare

The last 15 years in development of biology were marked with accumulation of unprecedentedly huge arrays of experimental data. The information was amassed with exclusively high rates due to the advent of highly efficient experimental technologies that provided for high throughput genomic sequencing; of functional genomics technologies allowing investigation of expression dynamics of large groups of genes using expression DNA chips; of proteomics methods giving the possibility to analyze protein compositions of cells, tissues, and organs, assess the dynamics of the cell proteome, and reconstruct the networks of protein-protein interactions; and of metabolomics, in particular, high resolution mass spectrometry study of cell metabolites, and distribution of metabolic fluxes in the cells with a concurrent investigation of the dynamics of thousands metabolites in an individual cell. Analysis, comprehension, and use of the tremendous volumes of experimental data reflecting the intricate processes underlying the functioning of molecular genetic systems are unfeasible in principle without the systems approach and involvement of the state-of-the-art information and computer technologies and efficient mathematical methods for data analysis and simulation of biological systems and processes. The need in solving these problems initiated the birth of a new science— postgenomic bioinformatics or systems biology in silico.

The last 15 years in development of biology were marked with accumulation of unprecedentedly huge arrays of experimental data. The information was amassed with exclusively high rates due to the advent of highly efficient experimental technologies that provided for high throughput genomic sequencing; of functional genomics technologies allowing investigation of expression dynamics of large groups of genes using expression DNA chips; of proteomics methods giving the possibility to analyze protein compositions of cells, tissues, and organs, assess the dynamics of the cell proteome, and reconstruct the networks of protein-protein interactions; and of metabolomics, in particular, high resolution mass spectrometry study of cell metabolites, and distribution of metabolic fluxes in the cells with a concurrent investigation of the dynamics of thousands metabolites in an individual cell. Analysis, comprehension, and use of the tremendous volumes of experimental data reflecting the intricate processes underlying the functioning of molecular genetic systems are unfeasible in principle without the systems approach and involvement of the state-of-the-art information and computer technologies and efficient mathematical methods for data analysis and simulation of biological systems and processes. The need in solving these problems initiated the birth of a new science— postgenomic bioinformatics or systems biology in silico.

Modern natural science shows that the infancy of life on Earth experienced prebiotic evolution and included the emergence of primitive self-reproducing biologic forms and their systems. The subsequent coevolution of inorganic environment and biologic systems resulted in global propagation of life over the Earth and its enormous diversification. Diverse living organisms colonized the land, water, and atmosphere, as well as upper layers of the lithosphere, thereby forming the biosphere. Formerly, it was thought that abiogenic synthesis of prebiotic matter occurred in the Earth’s atmosphere on land surface. However, the presence of life signs in rocks more than 3. 5 Gyr old suggests that the chemical matter evolution stage with synthesis of organic compounds from simple molecules is more likely to have occurred in the preglobal circumstellar disk together with the RNA world and the emergence of life itself. This notion removes the restriction imposed by the Earth’s age and environmental conditions on the young Earth. It is favored by detection of intricate organic compounds on meteorites, comets, and (according to spectral data) in gas–dust nebulae. The detection of life traces in meteorite bodies of the same age as the Earth and the Solar System indicates that life in the latter can be older than the Earth as documented by geologic records. The key features of living systems allowing their existence in time and space are self-reproduction and ability to evolve. The inseparability of these features was expressed by N. V.

Modern natural science shows that the infancy of life on Earth experienced prebiotic evolution and included the emergence of primitive self-reproducing biologic forms and their systems. The subsequent coevolution of inorganic environment and biologic systems resulted in global propagation of life over the Earth and its enormous diversification. Diverse living organisms colonized the land, water, and atmosphere, as well as upper layers of the lithosphere, thereby forming the biosphere. Formerly, it was thought that abiogenic synthesis of prebiotic matter occurred in the Earth’s atmosphere on land surface. However, the presence of life signs in rocks more than 3. 5 Gyr old suggests that the chemical matter evolution stage with synthesis of organic compounds from simple molecules is more likely to have occurred in the preglobal circumstellar disk together with the RNA world and the emergence of life itself. This notion removes the restriction imposed by the Earth’s age and environmental conditions on the young Earth. It is favored by detection of intricate organic compounds on meteorites, comets, and (according to spectral data) in gas–dust nebulae. The detection of life traces in meteorite bodies of the same age as the Earth and the Solar System indicates that life in the latter can be older than the Earth as documented by geologic records. The key features of living systems allowing their existence in time and space are self-reproduction and ability to evolve. The inseparability of these features was expressed by N. V.

Bioinformatics of Genome Regulation and Structure covers: -regulatory genomic sequences: databases, knowledge bases, computer analysis, modeling, and recognition; -large-scale genome analysis and functional annotation; -gene structure detection and prediction; -comparative and evolutionary genomics; -computer analysis of genome polymorphism and evolution; computer analysis and modeling of transcription, splicing, and translation; structural computational biology: structure-function organization of genomic DNA, RNA, and proteins; -gene networks, signal transduction pathways, and genetically controlled metabolic pathways: principles of organization, operation, and evolution; -data warehousing, knowledge discovery and data mining; and, -analysis of basic patterns of genome operation, organization, and evolution. The data presented may be used while solving a wide range of problems, both basic and applied, in various directionsof molecular biology, molecular genetics, biotechnology, pharmacogenetics, pharmacology, and adjacent fields of medicine, veterinary, and agrobiology.

Modern natural science shows that the infancy of life on Earth experienced prebiotic evolution and included the emergence of primitive self-reproducing biologic forms and their systems. The subsequent coevolution of inorganic environment and biologic systems resulted in global propagation of life over the Earth and its enormous diversification. Diverse living organisms colonized the land, water, and atmosphere, as well as upper layers of the lithosphere, thereby forming the biosphere. Formerly, it was thought that abiogenic synthesis of prebiotic matter occurred in the Earth’s atmosphere on land surface. However, the presence of life signs in rocks more than 3. 5 Gyr old suggests that the chemical matter evolution stage with synthesis of organic compounds from simple molecules is more likely to have occurred in the preglobal circumstellar disk together with the RNA world and the emergence of life itself. This notion removes the restriction imposed by the Earth’s age and environmental conditions on the young Earth. It is favored by detection of intricate organic compounds on meteorites, comets, and (according to spectral data) in gas–dust nebulae. The detection of life traces in meteorite bodies of the same age as the Earth and the Solar System indicates that life in the latter can be older than the Earth as documented by geologic records. The key features of living systems allowing their existence in time and space are self-reproduction and ability to evolve. The inseparability of these features was expressed by N. V.

Bioinformatics of Genome Regulation and Structure covers:

-regulatory genomic sequences: databases, knowledge bases, computer analysis, modeling, and recognition; -large-scale genome analysis and functional annotation; -gene structure detection and prediction; -comparative and evolutionary genomics; -computer analysis of genome polymorphism and evolution; computer analysis and modeling of transcription, splicing, and translation; structural computational biology: structure-function organization of genomic DNA, RNA, and proteins; -gene networks, signal transduction pathways, and genetically controlled metabolic pathways: principles of organization, operation, and evolution; -data warehousing, knowledge discovery and data mining; and, -analysis of basic patterns of genome operation, organization, and evolution.

The data presented may be used while solving a wide range of problems, both basic and applied, in various directionsof molecular biology, molecular genetics, biotechnology, pharmacogenetics, pharmacology, and adjacent fields of medicine, veterinary, and agrobiology.

The last 15 years in development of biology were marked with accumulation of unprecedentedly huge arrays of experimental data. The information was amassed with exclusively high rates due to the advent of highly efficient experimental technologies that provided for high throughput genomic sequencing; of functional genomics technologies allowing investigation of expression dynamics of large groups of genes using expression DNA chips; of proteomics methods giving the possibility to analyze protein compositions of cells, tissues, and organs, assess the dynamics of the cell proteome, and reconstruct the networks of protein-protein interactions; and of metabolomics, in particular, high resolution mass spectrometry study of cell metabolites, and distribution of metabolic fluxes in the cells with a concurrent investigation of the dynamics of thousands metabolites in an individual cell. Analysis, comprehension, and use of the tremendous volumes of experimental data reflecting the intricate processes underlying the functioning of molecular genetic systems are unfeasible in principle without the systems approach and involvement of the state-of-the-art information and computer technologies and efficient mathematical methods for data analysis and simulation of biological systems and processes. The need in solving these problems initiated the birth of a new science— postgenomic bioinformatics or systems biology in silico.

Bioinformatics of Genome Regulation and Structure covers: -regulatory genomic sequences: databases, knowledge bases, computer analysis, modeling, and recognition; -computer analysis of genome polymorphism and evolution; and, -analysis of basic patterns of genome operation, organization, and evolution.

This book considers many fundamental problems of molecular biology, evolution, molecular genetic organization, the structure and function of macromolecules, always with the underlying motive of developing a unified theory. It describes theoretical results as well as computational methods. The main topic of the book is to focus to develop constructive synthesis of the concepts, factual data, mathematical methods, theoretical models, scientific results, interpretations in the field of the Theory of Origin and further Evolution of Molecular Genetic Regulatory Systems, their macromolecule components and subsystems.

In 1970, Manfred Eigen initiated the study of the origin of self-reproducing systems of macromolecules and their evolution. Large-scale nucleotide sequencing (with computer methods) was introduced from 1977. The authors of this book, the first edition of which appeared (in Russian) in 1985, have been engaged in the research of the evolution of molecular genetic regulatory systems ever since those pioneering years. The book considers many fundamental problems of molecular biology, evolution, molecular genetic organization, the structure and function of macromolecules, always with the underlying motive of developing a unified theory. It describes many original, theoretical results as well as computational methods.