搜索结果: 1-14 共查到“知识库 理学 Biological Systems”相关记录14条 . 查询时间(0.484 秒)
Overshoot in biological systems modeled by Markov chains: a nonequilibrium dynamic phenomenon
Overshoot adaptation Markov chains net flux oscillation nonequilibrium
2016/1/26
A number of biological systems can be modeled by Markov chains. Recently, there has been an increasing concern about when biological systems modeled by Markov chains will perform a dynamic phenomenon ...
Overshoot in biological systems modeled by Markov chains:a nonequilibrium dynamic phenomenon
Overshoot adaptation Markov chains net flux oscillation nonequilibrium
2016/1/20
A number of biological systems can be modeled by Markov chains. Recently, there has been an increasing concern about when biological systems modeled by Markov chains will perform a dynamic phenomenon ...
The Emergence of Modularity in Biological Systems
Emergence of Modularity Biological Systems Populations and Evolution
2012/5/2
In this review, we discuss modularity and hierarchy in biological systems. We review examples from protein structure, genetics, and biological networks of modular partitioning of the geometry of biolo...
Many of life's most fascinating phenomena emerge from interactions among many elements|many
amino acids determine the structure of a single protein, many genes determine the fate of a cell,many neuro...
ADAM: Analysis of Discrete Models of Biological Systems Using Computer Algebra
Analysis of Discrete Models Biological Systems Computer Algebra
2011/1/18
ADAM: Analysis of Discrete Models of Biological Systems Using Computer Algebra
ADAM Analysis of Discrete Models
2011/1/5
Motivation: Many biological systems are modeled qualitatively with discrete models, such as probabilistic Boolean networks, logical models, bounded Petri nets, and agent-based models. Simulation is a ...
Comment on "Delayed luminescence of biological systems in terms of coherent states" [Phys. Lett. A 293 (2002) 93]
Delayed luminescence of biological systems coherent states
2011/1/5
Popp and Yan [F. A. Popp, Y. Yan, Phys. Lett. A 293 (2002) 93] proposed a model for delayed luminescence based on a single time-dependent coherent state. We show that the general solution of their mod...
Many of life's most fascinating phenomena emerge from interactions among many elements--many amino acids determine the structure of a single protein, many genes determine the fate of a cell, many neur...
Plausibility of Quantum Coherent States in Biological Systems
Quantum Coherent States Biological Systems
2011/1/6
In this paper we briefly discuss the necessity of using quantum mechanics as a fundamental theory applicable to some key functional aspects of biological systems. This is especially relevant to three ...
We study in this paper certain properties of the responses of dynamical systems to external inputs. The motivation arises from molecular systems biology. and, in particular, the recent discovery of an...
We study in this paper certain properties of the responses of dynamical systems to external inputs. Our results are purely mathematical and thus of wide applicability, but our motivation arises from m...
On Designing Multicore-aware Simulators for Biological Systems
Designing Multicore-aware Simulators Biological Systems
2010/11/16
The stochastic simulation of biological systems is an increasingly popular technique in bioinformatics. It often is an enlightening technique, which may however result in being computational expensive...
Systems Biology-Toward System-level Understanding of Biological Systems
Systems Biology-Toward System-level
2014/3/31
System Design: the strategies to modify and construct biological systems having desired properties can be devised based on definite design principles and simulations, instead of blind trial-and-error.
Evolution, Ageing and Speciation: Monte Carlo Simulations of Biological Systems
Monte Carlo Simulations Biological Systems
2010/10/26
We present a complete description of the Penna bit-string model for biological ageing and how it has been modified, along the last 10 years, to simulate and better understand many different evolutiona...