Model identification of a template-directed peptide network for optimization in a continuous reactor.
نویسندگان
چکیده
The production rate and selectivity of a cross-catalytic peptide network are optimized in a simulated continuous reaction process, under a peptide solubility constraint. The steady state of this open process is not the equilibrium state, and the optimal solution employs diverse cooperative components.
منابع مشابه
Supporting Material Model identification of a template-directed peptide network for optimization in a continuous reactor
The chemical system used in this communication is part of a complex molecular network described by Ashkenasy et al. [1] as an example of rational design in systems chemistry. The molecular network is engineered using nine different peptide sequences that interact via a template-directed peptide fragment condensation reaction at neutral pH. The templatedirected peptide network exhibits aspects o...
متن کاملMethylene blue removal from aqueous solutions by electrocoagulation in continuous flow reactor: Modeling and optimization of operating parameters
Introduction The application and increasingly produce of colorants, particularly, synthetic dyes, are one of the main environmental and health concerns especially in industrialized countries. If this type of dyes is discharged into the environment without any control, many problems will arise. Therefore, it is necessary to remove the dyes from aqueous solutions using appropriate methods. The p...
متن کاملA Neural Network Method Based on Mittag-Leffler Function for Solving a Class of Fractional Optimal Control Problems
In this paper, a computational intelligence method is used for the solution of fractional optimal control problems (FOCP)'s with equality and inequality constraints. According to the Ponteryagin minimum principle (PMP) for FOCP with fractional derivative in the Riemann- Liouville sense and by constructing a suitable error function, we define an unconstrained minimization problem. In the optimiz...
متن کاملAdaptive Predictive Controllers Using a Growing and Pruning RBF Neural Network
An adaptive version of growing and pruning RBF neural network has been used to predict the system output and implement Linear Model-Based Predictive Controller (LMPC) and Non-linear Model-based Predictive Controller (NMPC) strategies. A radial-basis neural network with growing and pruning capabilities is introduced to carry out on-line model identification.An Unscented Kal...
متن کاملComparison of central composite design and artificial neural network approaches for modeling and optimization of 2-methylpropane-2-thiol removal from contaminated soil by ultrasound
In this article a comparative study for modeling and optimization of 2-methylpropane-2-thiol removal from contaminated soil by ultrasound is investigated. Central Composite Design (CCD) and artificial neural network (ANN) were utilized and compared to each other in order to obtain appropriate predicting model with respect to sonication power (w), sonication time (min) and water/reactor volume r...
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:
- Chemical communications
دوره 50 29 شماره
صفحات -
تاریخ انتشار 2014