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Library functions, built

An /V-benzyl aminocychc urea PS-SCL was prepared as described elsewhere.21,22 This library was built with a diversity of 40, 37, and 80 separate functionalities at position 1,2, and 3, respectively. As shown in Table II, the complete PS-SCL contains 118,400 compounds (40 x 37 x 80) and consists of three sublibraries, each of which has a single defined functionality at one position and a mixture of functionalities at each of the other two positions. The number of individual compounds per mixture varied from one sublibrary to the others since this is based on the diversity at the defined position of that sublibrary. Thus, each sublibrary contains the same 118,400 compounds and differs from the others by how the compounds are grouped within each mixture. [Pg.327]

Function procedures augment Excel s library of built-in functions. A function macro is used in a worksheet in the same way as, for example, the SORT function. It is entered in a single cell of a worksheet, performs a calculation and returns a single result (or an array result) to the cell in which it is located. For example, a custom function macro named ALPHA can be used to calculate aj, the fraction of an acid-base species in one of its protonated forms HjX at a particular pH. The function takes three arguments the pH of the solution, the range of pKa values of the weak acid and the coefficient j. This function is useful in constructing distribution diagrams, titration curves, and so on. [Pg.242]

Drag and Drop Functions It has got thousands of drag and drop, highly interactive built-in library functions which help for easy creation and modification of Vis. [Pg.113]

So as to perform the above operations with a stoichiometric matrix and a rate vector in Maple, it is necessary to preliminarily link the library of built-in commands and functions of linear algebra Linear Algebra (Fig. 2.3). [Pg.36]

The user may use any of the MATLAB built-in library functions that are already defined and can be used in any command statement. MATLAB has a miscellany of functions. Some of these are standard functions, including trigonometric functions, and so on, and others are user-defined functions and third-party functions. All of these enable the user to easily carry out complex computational tasks. Examples are shown in Table 1.1. [Pg.20]

Table 1.1 A list of common MATLAB built-in library functions. Table 1.1 A list of common MATLAB built-in library functions.
Using the MATLAB Command Window and its built-in library functions (see Table I.IL evaluate the following expressions ... [Pg.47]

Attaching these external references does not mean that everything in the library will be synthesized into hardware. Only if a component or subprogram is actually used will it be synthesized. Also, some library functions are built in, which means they are not S5mthesized at all (Chapter 6). [Pg.36]

A library of l,3,7-substituted-perhydropyrazino[l,2-f]pyrimidine-2,6,8-triones was built by preparation of functionalized ketopiperazines on the solid phase, followed by N-acylation with 2-bromoacetic acid, reaction with isocyanate and with concomitant cyclization using trifluoroacetic acid (TFA) <2003W02003/013740>. [Pg.281]

Calculate the value of a fitness function (Fcurr) that characterizes the quality of the trial solution to the underlying problem (e.g., the diversity or predicted activity of the combinatorial library built upon the selection of building blocks from step 1). [Pg.381]

Inspired by this work (24), we used Bayesian methods (24) with molecular function class fingerprints of maximum diameter 6 (53) to identify substructures that were shown to be important in recent TB screening datasets (21-23). Bayesian models were built with the previously described Molecular Libraries Small Molecule Repository (MLSMR) 220,463 library (4,096 active compounds) (15) and dose-response data using 2,273 molecules (475 active compounds). In addition, these models were tested (15) with the National Institute of Allergy and Infectious Diseases (NIAID) data and GVK Biosciences (Hyderabad, India) datasets used by Prathipati et al. (24). We have validated the models with compounds left out of the original models, in some cases showing up to tenfold enrichments in finding active compounds in the top-ranked 600 molecules (22). [Pg.251]


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Functionality built

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