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Similarity fingerprint

A fingerprint similarity search is available within Empath by selecting similar in the summary of objects that includes structures. The related button finds similar structures in other Cabinet databases. [Pg.253]

Wang, Y. and Bajorath, J. (2008) Balandng the influence of molecular complexity on fingerprint similarity searching. /. Chem. Inf. Model., 48, 75-84. [Pg.1196]

Wang, Y, Eckert, H. and Bajorath, J. (2007) Apparent asymmetry in fingerprint similarity searching is a direct consequence of differences in bit densities and molecular size. ChemMedChem, 2,1037-1042. [Pg.1196]

Williams, C. (2006) Reverse fingerprinting, similarity searching by group fusion and fingerprint bit importance. Mol. Div., 10, 311-332. [Pg.1199]

In all of the three scenarios at J JPRD Europe, there are two common methods for 2DLBVS. The first consists in calculating the fingerprint similarity between the queries and the compound set using the Tanimoto coefficient, that is, counting the number of structural features in common. The compounds with the highest similarity are ranked at the top. [Pg.367]

The XANES features above may be used to fingerprint similar structures, because of the dependence of the multiple scattering... [Pg.6]

Protein-ligand fingerprint similarity searches Contrarily to reverse docking and pharmacophore searches, protein-ligand fingerprints can be encoded in very simple bitstrings or real vectors, and do not necessitate true 3D information. [Pg.194]

It is a well-established fact that conunon sub-structural fragments often tend to share similar biological activity. Molecular similarity deals with finding molecules which have a comparable amount of stmctural similarity [65], This is used to find stmctures that are similar to a molecule with less informatioa Molecular similarity is very handy in dmg designing, because it reduces the amount of animal testing, as the recorded data can be extrapolated. In this chapter, we learn the basic concepts of molecular fingerprints, similarity measures, and the use of molecular fingerprints in similarity search. [Pg.39]

Remove all instances of near-duplicate molecules. (This was achieved by taking each molecule in turn and removing all molecules with a Daylight fingerprint similarity > 0.95 to it). [Pg.30]


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