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Raport de cercetare - Lorentz JÄNTSCHI

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Exploring novel estrogen receptors and more... T. Oprea<br />

Tutorial: Impact of dataset composition on mo<strong>de</strong>ls performance A. Varnek<br />

Molecular <strong>de</strong>scriptors: an overview R. To<strong>de</strong>schini<br />

The good, the bad and the ugly practices of QSAR mo<strong>de</strong>lling A. Tropsha<br />

Pharmacophore Approach in Drug Discovery T. Langer<br />

Classification of chemical reactions J. Aires-<strong>de</strong>-Sousa<br />

Machine learning methods in QSAR I. Tetko<br />

Tutorial on application of non-linear methods in chemistry (neural networks,<br />

I. Baskin<br />

support vector machines)<br />

In silico target profiling J. Mestres<br />

Docking and post-docking strategies D. Rognan<br />

What Crystal Structure Databases Tell us about Conformational Preferences of<br />

M. Stahl<br />

Drug-like Molecules<br />

The Role of Cheminformatics in the Mo<strong>de</strong>rn Drug Discovery Process P. Ertl<br />

÷ Puncte cheie din cursuri:<br />

o QSAR: discovery and first steps<br />

Origin of Classical QSAR is from the SAR Studies of Agrochemicals<br />

Plant Growth Regulators/Herbici<strong>de</strong>s<br />

Structure-Activity Patterns<br />

The "Birth" of the Multi-variable Approach<br />

Features of the QSAR<br />

Conditions for the QSAR<br />

Classical QSAR for Series of Substituted Analogs<br />

Process of the Emergence of Biological Activity<br />

Early Trials of the Quantitative Approach<br />

Commercialized Drugs <strong>de</strong>veloped with the Aid of Classical QSAR<br />

o History and challenges of chemoinformatics<br />

the scope of chemoinformatics<br />

the beginnings<br />

a field of ist own<br />

scientific challenges<br />

political challenges<br />

o Current trends in chemoinformatics<br />

Literature analysis<br />

Hardware and infrastructure<br />

Web 2.0<br />

The Semantic Web<br />

Text mining<br />

Combichem<br />

Evaluation of scientific methods<br />

o Fingerprint Design and Molecular Complexity Effects<br />

Chemical Similarity Searching<br />

Molecular Fingerprints<br />

Similarity Search<br />

Multiple Active Reference Molecules<br />

Molecular Complexity and Size Effects<br />

Fingerprint Design<br />

Activity-Specific Descriptor Value Ranges<br />

Assessment of Descriptor Selectivity<br />

PDR-FP Descriptor Selection<br />

142

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