Biology is reaching a convergence point of its historic reductionist and modern holistic approaches to understanding the living system. Structural biology has historically taken the reductionist approach to deeply probe the inner workings of complex molecular machines. In contrast, systems biology and genome-scale modeling have organically grown out of the wealth of data now being generated by diverse omics measurements. In the late 2000s, a proposed interdisciplinary field of structural systems biology pitched the merger of these two approaches, with widespread applications in pharmacology, disease modeling, protein engineering, and evolutionary studies. In this commentary, we highlight the challenges of integrating these two fields, with ...
In thinking about complexity, it's frequently invoked that the whole is greater than the sum of its ...
Metabolism is highly complex and involves thousands of different connected reactions; it is therefor...
AbstractThe first full genome sequences were established in the mid-1990s. Shortly thereafter, genom...
BackgroundThe success of genome-scale models (GEMs) can be attributed to the high-quality, bottom-up...
Omic technologies have enabled the complete readout of the molecular state of a cell at different bi...
Systems biology is aimed at achieving a holistic understanding of living organisms, while synthetic ...
The computational representation of metabolic networks has traditionally abstracted the representati...
In the preceding chapters many aspects of metabolite quantification and relation to trait and diseas...
Genome-scale models have garnered considerable interest for their ability to elucidate cellular char...
Several complex diseases are caused by the malfunction of human metabolism, and deciphering the unde...
Mathematical and computational models play an essential role in understanding the cellular metabolis...
Computations and modeling have emerged as indispensable tools that drive the process of understandin...
Biologist for decades have adopted a reductionist approach to investigate the secret of life. In rec...
Genome-scale metabolic models (GEMs) computationally describe gene-protein-reaction associations for...
Understanding the effects of genetic variation is a fundamental problem in biology that requires met...
In thinking about complexity, it's frequently invoked that the whole is greater than the sum of its ...
Metabolism is highly complex and involves thousands of different connected reactions; it is therefor...
AbstractThe first full genome sequences were established in the mid-1990s. Shortly thereafter, genom...
BackgroundThe success of genome-scale models (GEMs) can be attributed to the high-quality, bottom-up...
Omic technologies have enabled the complete readout of the molecular state of a cell at different bi...
Systems biology is aimed at achieving a holistic understanding of living organisms, while synthetic ...
The computational representation of metabolic networks has traditionally abstracted the representati...
In the preceding chapters many aspects of metabolite quantification and relation to trait and diseas...
Genome-scale models have garnered considerable interest for their ability to elucidate cellular char...
Several complex diseases are caused by the malfunction of human metabolism, and deciphering the unde...
Mathematical and computational models play an essential role in understanding the cellular metabolis...
Computations and modeling have emerged as indispensable tools that drive the process of understandin...
Biologist for decades have adopted a reductionist approach to investigate the secret of life. In rec...
Genome-scale metabolic models (GEMs) computationally describe gene-protein-reaction associations for...
Understanding the effects of genetic variation is a fundamental problem in biology that requires met...
In thinking about complexity, it's frequently invoked that the whole is greater than the sum of its ...
Metabolism is highly complex and involves thousands of different connected reactions; it is therefor...
AbstractThe first full genome sequences were established in the mid-1990s. Shortly thereafter, genom...