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Reviews in Computational Chemistry Volume 18

Reviews in Computational Chemistry Volume 18

Reviews in Computational Chemistry Volume 18

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Contents<br />

1. Cluster<strong>in</strong>g Methods and Their Uses <strong>in</strong> <strong>Computational</strong> <strong>Chemistry</strong> 1<br />

Geoff M. Downs and John M. Barnard<br />

Introduction 1<br />

Cluster<strong>in</strong>g Algorithms 6<br />

Hierarchical Methods 6<br />

Nonhierarchical Methods 9<br />

Progress <strong>in</strong> Cluster<strong>in</strong>g Methodology 14<br />

Algorithm Developments 14<br />

Comparative Studies on Chemical Data Sets 23<br />

How Many Clusters? 24<br />

Chemical Applications 28<br />

Conclusions 33<br />

References 34<br />

2. The Use of Scor<strong>in</strong>g Functions <strong>in</strong> Drug Discovery Applications 41<br />

Hans-Joachim Böhm and Mart<strong>in</strong> Stahl<br />

Introduction 41<br />

The Process of Virtual Screen<strong>in</strong>g 43<br />

Major Contributions to Prote<strong>in</strong>–Ligand Interactions 45<br />

Description of Scor<strong>in</strong>g Functions for Receptor–Ligand<br />

Interactions 49<br />

Force Field-Based Methods 51<br />

Empirical Scor<strong>in</strong>g Functions 53<br />

Knowledge-Based Methods 56<br />

Critical Assessment of Current Scor<strong>in</strong>g Functions 58<br />

Influence of the Tra<strong>in</strong><strong>in</strong>g Data 58<br />

Molecular Size 59<br />

Other Penalty Terms 59<br />

Specific Attractive Interactions 60<br />

Water Structure and Protonation State 61<br />

Performance <strong>in</strong> Structure Prediction 61<br />

Rank Order<strong>in</strong>g Sets of Related Ligands 63<br />

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