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Validation tool

KS Wilson, Z Dauter, VS Lamsm, M Walsh, S Wodak, J Richelle, J Pontius, A Vagume, RWW Hooft, C Sander, G Vriend, JM Thornton, RA Laskowski, MW MacArthur, EJ Dodson, G Murshudov, TJ Oldfield, R Kaptem, JAC Rullman. Who checks the checkers Four validation tools applied to eight atomic resolution structures. J Mol Biol 276 417-436, 1998. [Pg.310]

In this paper a method [11], which allows for an a priori BSSE removal at the SCF level, is for the first time applied to interaction densities studies. This computational protocol which has been called SCF-MI (Self-Consistent Field for Molecular Interactions) to highlight its relationship to the standard Roothaan equations and its special usefulness in the evaluation of molecular interactions, has recently been successfully used [11-13] for evaluating Eint in a number of intermolecular complexes. Comparison of standard SCF interaction densities with those obtained from the SCF-MI approach should shed light on the effects of BSSE removal. Such effects may then be compared with those deriving from the introduction of Coulomb correlation corrections. To this aim, we adopt a variational perturbative valence bond (VB) approach that uses orbitals derived from the SCF-MI step and thus maintains a BSSE-free picture. Finally, no bias should be introduced in our study by the particular approach chosen to analyze the observed charge density rearrangements. Therefore, not a model but a theory which is firmly rooted in Quantum Mechanics, applied directly to the electron density p and giving quantitative answers, is to be adopted. Bader s Quantum Theory of Atoms in Molecules (QTAM) [14, 15] meets nicely all these requirements. Such a theory has also been recently applied to molecular crystals as a valid tool to rationalize and quantitatively detect crystal field effects on the molecular densities [16-18]. [Pg.105]

Finally, a QSAR evaluation of different chemicals from waste-related products and recycling is shown in order to underline how in silico models can be used as a valid tool to fill in the gaps and to obtain information on toxicological profile and physicochemical information on compounds. In particular, a focus on compounds suggested by EU project Riskcycle is presented. [Pg.172]

This article contains a detailed summary of the experiments carried out by LCA Coates Lorilleux aimed at evaluating the sensorial perception thresholds of ethyl acetate (and other solvents) used in rotogravure printing of flexible packaging for food. The methodological approach applied in the present study can be deemed a valid tool of study for the organoleptic behaviour of solvents and/or volatile compounds other than ethyl acetate that may be present inflexible materials. 8 refs. [Pg.71]

We have presented a new method of using SANS to elucidate the radial structure of dissolved dendrimers [23, 24]. It has been demonstrated that SANS in conjunction with contrast variation [32-37] is a valid tool to determine the internal structure of dendrimers. The main result of [23,24] is the clear proof that the density distribution has its maximum at the center of the molecule. Hence this corroborates the general deductions of theory as discussed in the preceding section. [Pg.183]

Many more such curves were measured in subsequent years, some of which were reported by Abragam (17). When Abragam s work was published it was already quite clear that the dispersion curves could become a valid tool for the study of molecular dynamics, thus laying down the foundation for variable field NMR relaxometry. In principle, the dispersion curves are potentially powerful tools to discriminate between various molecular dynamics models. [Pg.406]

In closing, Beckman explained what he thinks is needed to teach a chemical product design course The course should be team taught and available to multiple disciplines, should use sustainability as a constraint, should use validation tools, and should consider the voice of the customer as well as adequate product performance and price. [Pg.26]

Several Mcdiction validation tools are discussed below and a summary is found at the end of the section in Table 4.25 ... [Pg.85]

Table 4.25 summarizes the prediction validation tools discussed in this section. The first column in the table lists the name of each tool and the second column describes results from both well-behaved and problematic data. [Pg.87]

Once the f e spectra have been estimated and validated, the CLS model is validated foil tving the approach discussed for DCLS (Section 5.2.1.1). This can be done rith the calibration set of mixtures or with an additional validation set. The validation of the pure spectra already gives some confidence in the model because violations of the CLS assumptions will be identified when reason e pure spectra are not obtained. However, the DCLS validation tools found IE Table 5.1 should still be used. For this example, this second step in tlie model validation did not reveal any problems with e model (results not shovia). See Example 2 for discnission on the complete ICLS model validation. [Pg.117]

Electrochemical immunosensors are valid tools for the measurement of environmental pollutants such as PCBs. These devices are based on the principles of solid-phase immunoassays and couple the specificity of the immunoassay test to the sensitivity of electrochemical techniques. Screen-printed electrodes are used in the immunosensor development, because they can have a field use and their technology allows mass production at low cost. [Pg.599]

As shown below, the observed intermodulation of synchronized chemical reaction yields is clearly displayed in the kinetic zone and represents a valid tool for voluntary manipulation of their rates. [Pg.20]

One of the most important benefits that XML brought to CML is the existence of standard validation tools, which, equipped with definition of the language, can automatically check the formal structure of a CML document and report possible inconsistencies. For XML, there is a wide variety of generic software tools and libraries that enable checking, reading, and transformation of documents. Even though these tools are not directly focused on CML, they represent a good foundation for manipulation of the format. More about the benefits of XML and CML itself can be found in Chapter 6. [Pg.83]

The Crystallographic Information Format (CIF) developed by the International Union of Crystallography (IUCr) (Hall et al. 1991) is the best applied standard within chemistry and is an exemplar of the difficulties of standardization. The CIF is well accepted and understood by the community, is supported by publishers, and easy-to-use validation tools exist. However, ensuring that the resulting CIFs are valid and accurate requires additional quality assurance publishers of CIFs may carry this out (as, for example, the RSC does). So the development and adoption of standards is not sufficient to ensure that accurate and unambiguous data will be presented within the standards. [Pg.155]

Validation Tools Can They Indicate the Information Content of Macro-molecular Crystal Structures ... [Pg.146]

The previously developed Competency Validation Tool (National Or ganization of Nurse Practitioner Faculties and American Association of Colleges of Nursing, 2002) was used to establish competency rele vance, specificity, and comprehensiveness. [Pg.548]

The DV X a-method has been first proposed and formulated more than 25 years ago by Ellis and Painter at Northwestern University. This method allows to calculate relatively large systems with medium accuracy. However the knowledge of energy eigenvalues, electron distributions, effective charges or overlap populations etc. are a valid tool for physical and chemical interpretations. [Pg.109]

The downside to the three-hybrid as a target validation tool is that a suitable attachment point must be found on the query molecule. Oftentimes, selection of an appropriate site requires structure-activity relationship (SAR) studies to avoid damaging the compound s binding affinity. Moreover, each chemical entity requires individual synthetic effort because the properties of... [Pg.1907]

This observation of Parr and Berk provides the basis for a simple approach to molecular shape analysis and molecular similarity analysis, described below. Although the molecular shapes, as defined by the electronic density, differ somewhat from the shapes of the nuclear potentials, their similarity can be exploited the nuclear potential contour surfaces provide a simple approximation of the shape of molecules. We shall refer to the isopotential surfaces of the nuclear potential contours as NUPCO surfaces. These surfaces have a major advantage the computation of NUPCO s is a trivially simple task as compared to the calculation of electronic densities. Furthermore, nuclear potential is a useful molecular property in its own right, without any reference to electronic density a comparison of NUPCO s of various molecules can provide a valid tool for evaluating molecular similarity. The superposition of potentials of different sets of nuclei can result in similar composite potentials, consequently, the comparison of NUPCO s is better... [Pg.86]

Fig. 1 The dual role of RNAi technology in drug development process. RNAi compounds are being extensively used as a drug target discovery and validation tool. At the same time, they hold the promise of being used as drugs themselves. HTS, high-throughput screening of small molecules ADMET, absorption, distribution, metabolism, excretion, toxicity studies. Fig. 1 The dual role of RNAi technology in drug development process. RNAi compounds are being extensively used as a drug target discovery and validation tool. At the same time, they hold the promise of being used as drugs themselves. HTS, high-throughput screening of small molecules ADMET, absorption, distribution, metabolism, excretion, toxicity studies.
Whereas both the external f -deficiency measure SRyc(A) and the R-deficiency measure ARyB(A) are mathematically correct and valid tools for comparisons of the degrees of symmetry deficiencies and their correlations with unusual reactivities of functional groups, the actual physical existence of fuzzy sets involved in the determination of the internal -deficiency measure SRyB(A) nevertheless suggests that this measure is likely to provide more reliable correlations with variations in the chemical reactivity of functional groups. [Pg.185]

The measurement goal in the HIE was to construct the best possible scales for measuring a broad array of functioning and well-being concepts it demonstrated the potential of scales, constructed from self-administered surveys, as reliable and valid tools for assessing changes in health status. It, however, left two questions unanswered Can methods of data collection and scale construction work in sick and elderly populations In addition, could scales that are more efficient be constructed The answer to these questions was the challenge... [Pg.416]

All of the aforementioned HPLC purification systems employ detectors other than mass spectrometers as the selection criteria by which peaks are collected. With these systems, however, mass spectrometry is generally employed as a primary structural validation tool. More recently, systems have been described whereby a mass spectrometer has been added to preparative HPLC format to detect compounds of interest for collection. A recent review by Kassel [9] discusses the relative merits of employing MW-triggered versus UV-triggered fraction collection in various environments for the purification of combinatorial libraries. [Pg.195]

Kovacevich DS, Boney AR, Braunschweig CL, et al. Nutrition risk classification A reproducible and valid tool for nurses. Nutr Clin Pract 1997 12 20-25. [Pg.2575]

Note. In spite of its very common use in regression analysis, the F-ratio test is a weak test for multivariate models. In effect, the null hypothesis of the F test states that all of the regression coefficients are zero, while the alternative hypothesis states that at least one regression coefficient is different from zero. However, in modern QSAR, multivariate models are usually produced where the variables should be all relevant. But, even very high F values mean only that at least one variable is significant and not that the whole model is significant. Validation tools are more suitable to give information about the relevance of all the variables in a model. [Pg.642]


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