Sentence examples for biological systems based on from inspiring English sources

In recent years, there has been increasing interest in computational models of biological systems based on various calculi of communicating processes, such as the stochastic pi-calculus.

Focusing on the rational construction of biological systems based on engineering principles, synthetic biology depends on a genome-design platform to explore the combinations of multiple biological components or BIO bricks for quickly producing innovative devices.

In the last years, a variety of methods have been described to analyze colocalization quantitatively in different biological systems, based on statistic analysis of pixel intensity distributions and/or object recognition [1] [6] and have been integrated in different software, some of which are freely accessible.

With more and more genomic data available, it will become an inevitable trend to study the complex biological systems based on computational integration of those heterogeneous data.

This paper deals with SB and its attempt to create orthogonal biological systems based on a biochemistry not found in nature.

In this work we presented Q2LM as a means for generating insights from cFL models of biological systems based on literature knowledge.

One bottleneck for implementing a biological system based on XNA is indeed the availability of XNA-dependent replicative polymerases.

To implement a biological system based on XNA, we first need chemically synthesized XNA and an XNA-dependent XNA polymerase for initial replication.

Future work will include biological dynamic systems based on impulsive differential equations [25, 26].

Hence, synthesis of artificial biological process systems based on microbial consortia seems a promising approach to low cost sustainable production of fuels and chemicals.

This article reports a new approach to modeling biological signal transduction systems based on the simple but important assumption that such systems have been evolutionarily optimized for maximum signal transmission efficiency.