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Residual functions

The RTK activity phosphorylates tyrosine residues within the intracellular domain of the receptor. These phosphorylated residues function as docking sites for proteins that will convey the signal to downstream signal transduction components. PKI can be developed that bind these phosphorylated docking sites in order to abrogate inappropriate downstream signalling. [Pg.1010]

The important point is that v E,k) and A0( ,fe) are multivalued, with a logarithmic branch point at fe = s = 0, while the residual functions m(e, k, zo) and w(e, k) are single valued. The result, as discussed in more detail later, is that the value of the quantum number v depends on the chosen location of the branch cut and on which Riemann sheet is taken, bearing in mind that the branch of arctan( /fe) must be taken according to the appropriate quadrant of the complex k, e) plane. Thus cj) = arctan( /fe) + ti/2 increases smoothly from zero to In around a counterclockwise circle in the k, e) plane, starting at = 0 and < 0. [Pg.50]

Patients with mild or subclinical hypothyroidism do not need to be started on the full replacement dose because they still have some endogenous hormone production. Start these patients on 25 to 50 meg/day, and titrate every 6 to 8 weeks based on TSH levels. Over time, it is likely that the LT4 dose will need to be increased slowly as the patient s thyroid gland loses residual function. [Pg.674]

We can do partial fractions with the residue () function. Say we have a transfer function... [Pg.223]

Fig. 4.1. Newton s method for solving a nonlinear equation with one unknown variable. The solution, or root, is the value of x at which the residual function R(x) crosses zero. In (a), given an initial guess. vl0,), projecting the tangent to the residual curve to zero gives an improved guess v( l ). By repeating this operation (b), the iteration approaches the root. Fig. 4.1. Newton s method for solving a nonlinear equation with one unknown variable. The solution, or root, is the value of x at which the residual function R(x) crosses zero. In (a), given an initial guess. vl0,), projecting the tangent to the residual curve to zero gives an improved guess v( l ). By repeating this operation (b), the iteration approaches the root.
The method s goal is to make the residual vanish by successively improving our guess. To find an improved value we take the tangent line to the residual function at point. v(o) and project it to the zero line (Fig. 4.1). We repeat the projection from x(1) to give x(2), and so on. The process continues until we reach a value x on the (q)-d iteration that satisfies our equation to within a small... [Pg.56]

The method can be expressed mathematically by noting that the slope of the residual function plotted against % is d//dx. Geometrically, the slope is rise over run, so,... [Pg.56]

Fig. 4.2. Newton-Raphson iteration for solving two nonlinear equations containing the unknown variables x and y. Planes are drawn tangent to the residual functions R and R2 at an initial estimate (r, > (o)) to the value of the root. The improved guess (v(l y(l)) is the point at which the tangent planes intersect each other and the plane R = 0. Fig. 4.2. Newton-Raphson iteration for solving two nonlinear equations containing the unknown variables x and y. Planes are drawn tangent to the residual functions R and R2 at an initial estimate (r, > (o)) to the value of the root. The improved guess (v(l y(l)) is the point at which the tangent planes intersect each other and the plane R = 0.
To solve the equations, we want to find x and y such that the residual functions,... [Pg.58]

In general, the matrix, known as the Jacobian, contains entries for the partial derivative of each residual function Rj with respect to each unknown variable x,-. For a system of n equations in n unknowns, the Jacobian is an n x n matrix with n2 entries ... [Pg.59]

The residual functions measure how well a guess (nw,m,i)r satishes the governing Equations 4.3 f.4. The form of the residuals can be written,... [Pg.61]

For each basis entry we cast a residual function, which is the difference between the right and left sides of the mass balance equations (Eqns. 9.10,9.11, and 9.24) ... [Pg.146]

We employ the Newton-Raphson method to iterate toward a set of values for the unknown variables (nw, mi, mp)r for which the residual functions become vanishingly small. [Pg.147]

To do so, we calculate the Jacobian matrix, which is composed of the partial derivatives of the residual functions with respect to the unknown variables. Differentiating the mass action equations for aqueous species Aj (Eqn. 4.2), we note that,... [Pg.147]

For the K and Freundlich models, as mentioned, there is no basis entry Ap and hence we do not write a residual function of the form Equation 9.42, nor do we carry Jacobian entries for Equations 9.46 or 9.49-9.52. [Pg.148]

At each step in the Newton-Raphson iteration, we evaluate the residual functions and Jacobian matrix. We then calculate a correction vector as the solution to the matrix equation... [Pg.149]

Using Newton s method (described in Chapter 4), we can quickly locate the appropriate surface potential by decreasing the residual function until it approaches zero. [Pg.164]

To solve for the chemical system at t, we use Newton-Raphson iteration to minimize a set of residual functions, as discussed in Chapter 4. For a kinetic... [Pg.238]

As discussed in Section 4.3, the entries in the Jacobian matrix are given by differentiating the residual functions (Eqns. 16.13-16.14) with respect to the independent variables nw and m,. The resulting entries are,... [Pg.239]

Similar substitution into Equations 16.10-16.12 gives masses of the basis entries at the end of a time step, Equations 16.13-16.14 yields the residual functions, and Equations 16.18-16.21 gives the entries in the Jacobian matrix. In evaluating the Jacobian, the derivatives dr /dnw and dr /dm, can be obtained by differentiating the appropriate rate law (Eqn. 17.9, 17.12, or 17.21), as discussed in Appendix 4, or their values determined just as efficiently by finite differences. [Pg.253]

To overcome these limitations, Vasantharajan and Biegler (1990) propose a new formulation based on the residual function (see Russell and Christiansen, 1978), Since the ODE residual equations are satisfied only at the collocation points, a straightforward way to compute an error estimate... [Pg.224]

Fig. 4A The mechanism of cleavage by ribonuclease A. Two imidazole residues function as general acid-base catalysts. B The single-metal-ion mechanism proposed for cleavage by the hammerhead ribozyme. One metal ion binds directly to the pro-Rp oxygen and functions as a general base catalyst. C The double-metal-ion mechanism proposed for cleavage by the hammerhead ribozyme. Two metal ions bind directly to the 2 -oxygen and the 5 -oxygen... Fig. 4A The mechanism of cleavage by ribonuclease A. Two imidazole residues function as general acid-base catalysts. B The single-metal-ion mechanism proposed for cleavage by the hammerhead ribozyme. One metal ion binds directly to the pro-Rp oxygen and functions as a general base catalyst. C The double-metal-ion mechanism proposed for cleavage by the hammerhead ribozyme. Two metal ions bind directly to the 2 -oxygen and the 5 -oxygen...
The active site of the aldolase enzyme is believed to be as shown (Figure 13.7). Although several amino acid residues are involved with bonding the substrates at the active site, the critical amino acid residues are a lysine and an aspartic acid residue. The lysine forms a substrate-enzyme bond via an imine linkage, and the aspartic acid residue functions as a general acid-base. [Pg.526]

Oral - For the control of clinical spasticity resulting from upper motor neuron disorders such as spinal cord injury, stroke, cerebral palsy, or multiple sclerosis. It is of particular benefit to the patient whose functional rehabilitation has been retarded by the sequelae of spasticity. Such patients must have presumably reversible spasticity where relief of spasticity will aid in restoring residual function. [Pg.1290]

To prevent the S—>N acyl shift, S-palmitoylation with palmitoyl chloride is performed in anhydrous solvents on N -aminoacylated cysteines, e.g. dipeptide building blocks, whereby the residual functionalities of the peptide have to be protected taking into account the base-lability of the thioester bond. [Pg.342]

A variety of orthogonal combinations of protecting groups is available for the synthesis of monocyclic peptides on resin i339 343 They must satisfy an additional level of selectivity that is required upon assembly of the fully protected peptide on resin, which enables the subsequent regioselective chemistry to be performed at the functionalities involved in the cyclization reaction while the substrate is still bound to the resin and protected at all residual functions. [Pg.487]


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Amino acid residues, basic functional groups

Branching enzyme catalysis, functional amino acid residues

Carboxypeptidase functional residues

Complex function residue

Cumulative residue distribution function

Evaluation of Residual Functions

Function of residuals

Functional residual capacity

Functional site residues

Functional site residues mapping

Functionally invariant residues

Hydroxyl groups alkylation with acidic functional residues

Kidney function, residual

Liquid solutions residual functions

Lung volumes functional residual capacity

Marker residue, function

Pure residual functions

Real residual functions

Residual function Newton-Raphson iteration

Residual function equilibrium calculations

Residual function partial molar

Residual function surface complexation calculations

Residual function, fugacity

Residual function, fugacity coefficient

Residual sensitivity function

Residual thermodynamic functions

Residual work function

Residues function

Residues function

Roles of Conserved Residues Functional and Structural

Structure/function residue identification

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