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Diversity molecular

From a synthetic point of view, when planning a diversity-oriented synthesis, four potential types of molecular diversity to be incorporated are consistently highlighted in the literature  [Pg.134]

Fimctional Group Diversity. Variation of the functional groups present in a molecule generally but also at specific sites within the gross structure. This gives [Pg.134]

Stereochemical Diversity Variation in the orientation of functional groups and potential macromolecule-interacting elements. Clearly, this is very important as nature is a three-dimensional (3D) environment. [Pg.135]

Scaffold or Skeletal Diversity Variation in the overall molecular framework, typically considered to be variation in ring structures and other rigidifying elements, resulting in molecules with distinct scaffolds and consequently molecular shapes. [Pg.135]

There is a widespread consensus that in terms of producing functionally (biologically) diverse molecules, the most important type of diversity that can be incorporated into a library is scaffold diversity.The rationale behind this is that biomacromolecules are (on a molecular scale) large 3D environments with certain defined potential binding pockets and surfaces, and as such they will interact only with small molecules that have complementary 3D structure. Libraries that contain compounds based around distinct molecular scaffolds and so distinct 3D shape and stmcture should therefore cover a large range of potential binding partners. [Pg.135]

Euclidean distance The Euclidean distance or Euclidean metric is the ordinaiy distance between two points that one would measure with a ruler and is given by the Pythagorean formula. It can be calculated using the following formula  [Pg.55]

It follows all the four metric properties and is monotonic with Hamming distance. For dichotomous variables, (Euclidean distance) =Hamming Distance. [Pg.55]


R.A. Lewis, S.D. Pickett, D.E. Qark. Computer-aided molecular diversity analysis and combinatorial library design, in Reviews in Computational Chemistry, Vol. 16, K.B. Opkowitz, D.B. Boyd (Eds.). Wiley-VCH, New York. 2000. pp. 8-51. [Pg.164]

Agrafiotis D K, J C Myslik and F R Salemme 1999. Advcinces in Diversity Profiling and Combinatorial Series Design. Molecular Diversity 4 1-22. [Pg.735]

Chemometrics. Statistics and Computer Application in Analytical Chemistry. New York, Wiley-VCH. yer D C and P D J Grootenhuis 1999. Recent Developments in Molecular Diversity nputational Approaches to Combinatorial Chemistry. Annual Reports in Medicinal Chemistry 187-296,... [Pg.736]

Editor) 1997. Computational Methods for the Analysis of Molecular Diversity. Perspectives in Drug "Muery and Design Volumes 7/8. Dordrecht, Kluwer. [Pg.736]

Currunins D J, C W Andrews, J A Benfley and M Cory 1996. Molecular Diversity in Chemical Database Comparison of Medicinal Chemistry Knowledge Bases and Databases of Commercially Availabl Compounds Journal of Chemical Information and Computer Science 36 750-763. [Pg.737]

M, J P Bielawski, J C Hempel and M Waldman 1996. Optimisation and Visualisation of ecular Diversity of Combinatorial Libraries. Molecular Diversity 2 64-74. [Pg.738]

WA WaiT. Combinatorial chemistry and molecular diversity. An overview. J Chem Inf Comput Sci 37 134-140, 1997. [Pg.368]

A Polmski, RD Eemstem, S Shi, A Kuki. LiBrain Software for automated design of exploratory and targeted combinatorial libraries. In IM Chaiken, KD Janda, eds. Molecular Diversity and Combinatorial Chemistry Libraries and Drug Discovery. ACS Conf Proc Ser. Washington, DC Am Chem Soc, 1996, pp 219-232. [Pg.369]

DB Turner, SM Tyrell, P Willett. Rapid quantification of molecular diversity for selective database acquisition. I Chem Inf Comput Sci 37 18-22, 1997. [Pg.369]

DJ Cummins, CW Andrews, JA Bentley, M Cory. Molecular diversity m chemical databases Comparison of medicinal chemistry knowledge bases and databases of commercially available compounds. I Chem Inf Comput Sci 36 750-763, 1996. [Pg.369]

In these first studies, similarity measures were investigated to survey the molecular diversity of a set of molecules resolved on a given CSP in order to compare the extent of their application range. [Pg.114]

To demonstrate the excellent correlation (r- = 0.99) between the luminance of the images and molecular diversity, we plotted the luminance values of the map versus the mean similarity values of data sets (Fig. 4-13). From this plot, a scoring scheme for the classification of CSPs from specific to broad application range can be well established Crownpak CR > Pirkle DNBPG > Whelk > Chiralpak AD > Chiralcel OD. [Pg.115]

Chiralcel OD and Chiralpak AD are associated with the largest mean values of molecular diversity. [Pg.116]

For comparative purposes, Chiralcel OD and Crownpak CR could be used as an extreme case to delineate the basis of a molecular diversity scale. [Pg.116]

Caution must be emphasized here that this simple method which aims to measure the molecular diversity between two CSP classes does not provide an absolute scale. However, a relative analysis of luminance values (Table 4-5) can show how potentially different are the application range of two CSPs and can also help to select a subset of CSPs that represent the largest scope of applications. [Pg.117]

Fig. 4-14. Similarity maps comparing molecular diversity between two couples of CSP. Fig. 4-14. Similarity maps comparing molecular diversity between two couples of CSP.
As we have already indicated, the diversity value of molecule sets combining two CSPs is difficult to interpret on an absolute scale. Only the relative position of each set can be useful to compare, and also the arrangement of the points in regard to the molecular diversity inherent to each individual molecule set of CSP. [Pg.118]

The potential of such reaction sequences for the generation of molecular diversity was also demonstrated by the synthesis of a library of heterocycles. Epoxide ring-opening with hydrazine and subsequent condensation with (3-diketones or other bifunctional electrophiles gave rise to a variety of functionalized heterocyclic structures in high purity [34]. A selection based on the substrate derived from cyclohexene oxide is shown in Scheme 12.12. [Pg.454]

ChEs present a wide molecular diversity that modulates their function in cholinergic synapses and non-synaptic contexts. This diversity arises at the genetic, post-transcriptional and post-translational levels. [Pg.358]

Concurrent with the progress in our1 understanding of molecular diversity, structure, and function of K+ channels, and their role in genetically linked and acquired... [Pg.994]

Pyridazines 160 were obtained by microwave-assisted reaction of 1,4-dicarbonyl compounds and hydrazine in AcOH and in the presence of DDQ as oxidant in order to obtain the aromatic compound in a one pot reaction [ 105]. The yields reported were relatively low although the method can be applied to the preparation of arrays of trisubstituted pyridazines with high molecular diversity (Scheme 57). [Pg.243]

The same kind of results were obtained using the ionic hquid [bmim] [PFg ] as the medium to carry out the reaction in the presence of TEA at 60 °C for 30 s under microwave irradiation [151,152]. Toluene can be also used as the solvent as well TEA as the acid [153]. Heating at 60 °C for a longer period also allowed the reaction of different ketones, thus increasing the potential of the reaction for the generation of molecular diversity around a tricycUc scaffold such as 236 in Scheme 87. [Pg.256]

Willett P. Computational methods for the analysis of molecular diversity. Perspectives in Drug Discovery and Design Vols 7/8. Dordrecht Kluwer, 1997. [Pg.206]

Cavallaro CL, Schnur DM, Tebben AJ. Molecular diversity in lead discovery From quantity to quality. In Oprea Tl, editor, Chemoinformatics in drug discovery, Weinheim, Wiley-VCH, 2004 175-98. [Pg.207]

Davies K. Using pharmacophore diversity to select molecules to test from commercial catalogues. In Chaiken IM and Janda KD, editors. Molecular diversity and combinatorial chemistry. Libraries and drug discovery. Washington DC American Chemical Society, 1996 309-16. [Pg.207]

Waldman M, Li H, Hassan M. Novel algorithms for the optimization of molecular diversity of combinatorial libraries. / Mo/ Graph Model 2000 18 412-26. [Pg.207]

Agrafiotis DK. Stochastic algorithms for maximising molecular diversity. J Chem Inf Comput Sci 1997 37 841-51. [Pg.207]

Hassan M, Bielawski JP, Hempel JC, Waldman M. Optimisation and visualisation of molecular diversity of combinatorial libraries. Mol Diversity 1996 2 64-74. [Pg.207]

Dean PM, Lewis RA. Molecular diversity in drug design. Dordrecht Klnwer Academic Publishers, 1999. [Pg.370]

Figure 48-1. Molecular features of collagen structure from primary sequence up to the fibril. (Slightly modified and reproduced, with permission, from Eyre DR Collagen Molecular diversity in the body s protein scaffold.Science 1980 207 1315. Copyright 1980 by the American Association for the Advancement of Science.)... Figure 48-1. Molecular features of collagen structure from primary sequence up to the fibril. (Slightly modified and reproduced, with permission, from Eyre DR Collagen Molecular diversity in the body s protein scaffold.Science 1980 207 1315. Copyright 1980 by the American Association for the Advancement of Science.)...
Marcario JK, Riazi M, Adany I, Kenjale H, Fleming K, Marquis J, Nemon O, Mayo MS, Yankee T, Narayan O, Cheney PD (2008) Effect of morphine on the neuropathogenesis of SlVmac infection in Indian Rhesus Macaques. J Neuroimmune Pharmacol 3 12-25 Mattson MP, Haughey NJ, Nath A (2005) CeU death in HIV dementia. Cell Death Differ 12 893-904 Mayne M, Bratanich AC, Chen P, Rana F, Nath A, Power C (1998) HlV-1 tat molecular diversity and induction of TNF-alpha implications for HIV-induced neurological disease. Neuroimmunomodulation 5 184-192... [Pg.372]

Points 1 and 5 refer to the increased importance of functional chemicals [291]. Owing to the wide parameter space determining functionality (not only molecular diversity), this demands much higher flexibility and speed in the preparation of new samples during the research phase. The behavior of complex molecular mixtures needs to be understood. In particular, product application, formulation, and blending skills need to be developed and acquired. In a more remote vision, this demands on-site distributed manufacture of functional chemicals such as paints and similar products. [Pg.101]

Oh, D. Y., Gaedicke, G., and Schreier, E. (2003). Viral agents of acute gastroenteritis in German children Prevalence and molecular diversity. /. Med. Virol. 71, 82-93. [Pg.34]

Wright, A.-D. G., Williams, A. J., Winder, B., Christophersen, C. T., Rodgers, S. L., and Smith, K. D. (2004). Molecular diversity of rumen methanogens from sheep in Western Australia. Appl. Environ. Microbiol. 70, 1263-1270. [Pg.88]

S. Perotto, E. Actis-Perino, J. Perugini, and P. Bonfante, Molecular diversity of fungi from ericoid mycorrhizal roots. Mol. Ecol. 5 123 (1996). [Pg.288]

Certain types of molecules, especially polypeptides and polynucleotides, lend themselves to synthesis on solid supports. In such syntheses, the starting material is attached to a small particle (bead) or a surface and the molecule remains attached during the course of the synthetic sequence. Solid phase synthesis also plays a key role in creation of combinatorial libraries, that is, collections of many molecules synthesized by a sequence of reactions in which the subunits are systematically varied to create a range of structures (molecular diversity). [Pg.1342]


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