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Of 3D structures

As was said in the introduction (Section 2.1), chemical structures are the universal and the most natural language of chemists, but not for computers. Computers woi k with bits packed into words or bytes, and they perceive neither atoms noi bonds. On the other hand, human beings do not cope with bits very well. Instead of thinking in terms of 0 and 1, chemists try to build models of the world of molecules. The models ai e conceptually quite simple 2D plots of molecular sti uctures or projections of 3D structures onto a plane. The problem is how to transfer these models to computers and how to make computers understand them. This communication must somehow be handled by widely understood input and output processes. The chemists way of thinking about structures must be translated into computers internal, machine representation through one or more intermediate steps or representations (sec figure 2-23, The input/output processes defined... [Pg.42]

The JME Editor is a Java program which allows one to draw, edit, and display molecules and reactions directly within a web page and may also be used as an application in a stand-alone mode. The editor was originally developed for use in an in-house web-based chemoinformatics system but because of many requests it was released to the public. The JME currently is probably the most popular molecule entry system written in Java. Internet sites that use the JME applet include several structure databases, property prediction services, various chemoinformatics tools (such as for generation of 3D structures or molecular orbital visualization), and interactive sites focused on chemistry education [209]. [Pg.144]

The JME can also serve as a query input tool for structure databases by allowing creation of complex substructure queries (Figure 2-130), which are automatically translated into SMARTS [22]. With the help of simple HTML-format elements the creation of 3D structure queries is also possible, as were used in the 3D pharmacophore searches in the NCI database system [129]. Creation of reac-... [Pg.144]

Physical, chemical, and biological properties are related to the 3D structure of a molecule. In essence, the experimental sources of 3D structure information are X-ray crystallography, electron diffraction, or NMR spectroscopy. For compounds without experimental data on their 3D structure, automatic methods for the conversion of the connectivity information into a 3D model are required (see Section 2.9 of this Textbook and Part 2, Chapter 7.1 of the Handbook) [16]. [Pg.412]

Two of the widely used programs for the generation of 3D structures are CONCORD and CORINA. CONCORD was developed by Pearlman and co-workers (17, 18] and is distributed by TRIPOS (19). The 3D-structure generator CORINA originates from Gasteiger s research group [20-23] and is available from Molecular Networks [24],... [Pg.413]

The chirality code of a molecule is based on atomic properties and on the 3D structure. Examples of atomic properties arc partial atomic charges and polarizabilities, which are easily accessible by fast empirical methods contained in the PETRA package. Other atomic properties, calculated by other methods, can in principle be used. It is convenient, however, if the chosen atomic property discriminates as much as possible between non-equivalent atoms. 3D molecular structures are easily generated by the GORINA software package (see Section 2.13), but other sources of 3D structures can be used as well. [Pg.420]

The discovery of the potent in vitro sialidase inhibitory activity and in vivo efficacy of zanamivir 12, and the increasing availability of 3D structural data for influenza virus sialidases in the 1990s, particularly with Neu5Ac and various inhibitors bound into the active site, provided a platform for further drug discovery efforts targeting... [Pg.123]

The SBDD approach affected computational chemists positively. The increased number of 3D structures of therapeutically relevant targets opened new opportunities for molecular modeling of the receptor sites. Computational chemists assisted the medicinal chemists in interpreting the fruits of crystallography for design of new ligands. [Pg.26]

Both enzymes belong to the family of a,p-hydrolases." The active site of MeHNL is located inside the protein and connected to the outside through a small channel, which is covered by the bulky amino acid tryptophane 128." It was possible to obtain the crystal structure of the complex with the natural substrate acetone cyanohydrin with the mutant SerSOAla of MeHNL. This complex allowed the determination of the mode of substrate binding in the active site." A summary of 3D structures of known HNLs was published recently." " ... [Pg.151]

DG was primarily developed as a mathematical tool for obtaining spahal structures when pairwise distance information is given [118]. The DG method does not use any classical force fields. Thus, the conformational energy of a molecule is neglected and all 3D structures which are compatible with the distance restraints are presented. Nowadays, it is often used in the determination of 3D structures of small and medium-sized organic molecules. Gompared to force field-based methods, DG is a fast computational technique in order to scan the global conformational space. To get optimized structures, DG mostly has to be followed by various molecular dynamic simulation. [Pg.237]

Fig. 19.3 Flow chart of 3D structure-based biased needle screening as applied to the bacterial enzyme, gyrase. Fig. 19.3 Flow chart of 3D structure-based biased needle screening as applied to the bacterial enzyme, gyrase.

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