ERNEST: a toolbox for chemical reaction network theory
نویسندگان
چکیده
SUMMARY ERNEST Reaction Network Equilibria Study Toolbox is a MATLAB package which, by checking various different criteria on the structure of a chemical reaction network, can exclude the multistationarity of the corresponding reaction system. The results obtained are independent of the rate constants of the reactions, and can be used for model discrimination. AVAILABILITY AND IMPLEMENTATION The software, implemented in MATLAB, is available under the GNU GPL free software license from http://people.sissa.it/ approximately altafini/papers/SoAl09/. It requires the MATLAB Optimization Toolbox. CONTACT [email protected].
منابع مشابه
CRNreals: a toolbox for distinguishability and identifiability analysis of biochemical reaction networks
UNLABELLED Chemical reaction network theory is widely used in modeling and analyzing complex biochemical systems such as metabolic networks and cell signalling pathways. Being able to produce all the biologically and chemically important qualitative dynamical features, chemical reaction networks (CRNs) have attracted significant attention in the systems biology community. It is well-known that ...
متن کاملCRNreals: a toolbox for distinguishability and identifiability analysis of chemical reaction networks USER GUIDE
متن کامل
Systems Biology Toolbox for MATLAB: a computational platform for research in systems biology
We present a Systems Biology Toolbox for the widely used general purpose mathematical software MATLAB. The toolbox offers systems biologists an open and extensible environment, in which to explore ideas, prototype and share new algorithms, and build applications for the analysis and simulation of biological and biochemical systems. Additionally it is well suited for educational purposes. The to...
متن کاملIntegrating software packages for the analysis of biological pathway networks
Interactions at the cellular level are essential for maintaining the fundamental life processes in biological systems. The relationships that are established due to the biochemical reactions occurring within the cells often give rise to extremely complex network structures that may be conveniently represented by bipartite graphs; such networks are often known as biological pathway graphs (BPGs)...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Bioinformatics
دوره 25 21 شماره
صفحات -
تاریخ انتشار 2009