Abstract: Multi-state modeling of biomolecules refers to a series of techniques used to represent and compute the behavior of biological molecules or complexes that can adopt a large number of possible functional states. Biological signaling systems often rely on complexes of biological macromolecules that can undergo several functionally significant modifications that are mutually compatible. Thus, they can exist in a very large number of functionally different states. Modeling such multi-state systems poses two problems: the problem of how to describe and specify a multi-state system (the ‘‘specifica-tion problem’’) and the problem of how to use a computer to simulate the progress of the system over time (the ‘‘computation problem’’). To ...
In this article, we review the recent progress in multiresolution modeling of structure and dynamics...
Rule-based modeling is an approach that permits constructing reaction networks based on the specific...
Rule-based modeling is an approach that permits constructing reaction networks based on the specific...
Multi-state modeling of biomolecules refers to a series of techniques used to represent and compute ...
Multi-state modeling of biomolecules refers to a series of techniques used to represent and compute ...
Biological macromolecular modeling can be approached at various levels of resolution. At the coarses...
Biomolecular simulation is increasingly central to understanding and designing biological molecules ...
Computation based on molecular models is playing an increasingly important role in biology, biologic...
Mechanistic models in molecular systems biology are generally mathematical models of the action of n...
Biomolecular simulation is increasingly central to understanding and designing biological molecules ...
To understand complex biological systems such as cells, tissues, or even the human body, it is not s...
Systems biology is a new field in biology that aims at system-level understanding of biological syst...
Les structures cristallographiques de macromolécules comme les protéines, obtenues par la biologie s...
Summary: The Signaling Gateway Molecule Pages (SGMP) database provides highly structured data on pro...
We have witnessed an explosive growth in research involving mathematical models and computer simula...
In this article, we review the recent progress in multiresolution modeling of structure and dynamics...
Rule-based modeling is an approach that permits constructing reaction networks based on the specific...
Rule-based modeling is an approach that permits constructing reaction networks based on the specific...
Multi-state modeling of biomolecules refers to a series of techniques used to represent and compute ...
Multi-state modeling of biomolecules refers to a series of techniques used to represent and compute ...
Biological macromolecular modeling can be approached at various levels of resolution. At the coarses...
Biomolecular simulation is increasingly central to understanding and designing biological molecules ...
Computation based on molecular models is playing an increasingly important role in biology, biologic...
Mechanistic models in molecular systems biology are generally mathematical models of the action of n...
Biomolecular simulation is increasingly central to understanding and designing biological molecules ...
To understand complex biological systems such as cells, tissues, or even the human body, it is not s...
Systems biology is a new field in biology that aims at system-level understanding of biological syst...
Les structures cristallographiques de macromolécules comme les protéines, obtenues par la biologie s...
Summary: The Signaling Gateway Molecule Pages (SGMP) database provides highly structured data on pro...
We have witnessed an explosive growth in research involving mathematical models and computer simula...
In this article, we review the recent progress in multiresolution modeling of structure and dynamics...
Rule-based modeling is an approach that permits constructing reaction networks based on the specific...
Rule-based modeling is an approach that permits constructing reaction networks based on the specific...