scholarly journals Discerning static and causal interactions in genome-wide reverse engineering problems

2008 ◽  
Vol 24 (13) ◽  
pp. 1510-1515 ◽  
Author(s):  
Mattia Zampieri ◽  
Nicola Soranzo ◽  
Claudio Altafini
Keyword(s):  
Reverse Engineering ◽  
Genome Wide ◽  
Engineering Problems

Hybrid Obfuscation Technique for Reverse Engineering Problems

2020 ◽  
Vol 10 (4) ◽  
pp. 55-59
Author(s):  
Asma’a Mahfoud ◽  
Abu Bakar Md. Sultan ◽  
Abdul Azim Abd ◽  
Norhayati Mohd Ali ◽  
Novia Admodisastro
Keyword(s):  
Reverse Engineering ◽  
Engineering Problems ◽  
Obfuscation Technique

Systematic Reverse Engineering of Biological Systems

2007 ◽  
Author(s):  
Jamal O. Wilson ◽  
David Rosen
Keyword(s):  
Reverse Engineering ◽  
Biological Systems ◽  
Variable Stiffness ◽  
Design Principles ◽  
Efficient Solutions ◽  
Engineering Systems ◽  
Biological Design ◽  
Engineering Problems ◽  
Airplane Wing ◽  
Current Engineering

The duality between biological systems and engineering systems exists in the pursuit of economical and efficient solutions. By adapting biological design principles, nature’s technology can be harnessed. In this paper, we present a systematic method for reverse engineering biological systems to assist the designer in searching for solutions in nature to current engineering problems. Specifically, we present methods for decomposing the physical and functional biological architectures, representing dynamic functions, and abstracting biological design principles to guide conceptual design. We illustrate this method with an example of the design of a variable stiffness skin for a morphable airplane wing based on the mutable connective tissue of the sea cucumber.

scholarly journals Reverse engineering and identification in systems biology: strategies, perspectives and challenges

2014 ◽  
Vol 11 (91) ◽  
pp. 20130505 ◽  
Author(s):  
Alejandro F. Villaverde ◽  
Julio R. Banga
Keyword(s):  
Machine Learning ◽  
Inverse Problem ◽  
Systems Biology ◽  
Mathematical Modelling ◽  
Reverse Engineering ◽  
Chemical Kinetics ◽  
Regulatory Mechanisms ◽  
Engineering Problems ◽  
Central Elements ◽  
Key Questions

The interplay of mathematical modelling with experiments is one of the central elements in systems biology. The aim of reverse engineering is to infer, analyse and understand, through this interplay, the functional and regulatory mechanisms of biological systems. Reverse engineering is not exclusive of systems biology and has been studied in different areas, such as inverse problem theory, machine learning, nonlinear physics, (bio)chemical kinetics, control theory and optimization, among others. However, it seems that many of these areas have been relatively closed to outsiders. In this contribution, we aim to compare and highlight the different perspectives and contributions from these fields, with emphasis on two key questions: (i) why are reverse engineering problems so hard to solve, and (ii) what methods are available for the particular problems arising from systems biology?

Network reconstruction based on steady-state data

2008 ◽  
Vol 45 ◽  
pp. 161-176 ◽  
Author(s):  
Eduardo D. Sontag
Keyword(s):  
Steady State ◽  
Reverse Engineering ◽  
Theoretical Method ◽  
Network Reconstruction ◽  
Quasi Steady State ◽  
State Data

This paper discusses a theoretical method for the “reverse engineering” of networks based solely on steady-state (and quasi-steady-state) data.

Sign in / Sign up

Export Citation Format

Share Document