Table of contents


In this issue

p169 | doi:10.1038/nrd2267

Editorial: Psychiatric drug discovery on the couch

p171 | doi:10.1038/nrd2268

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Research Highlights

G-Protein-coupled receptors: New switch to activate class B GPCRs | PDF (125 KB)

p185 | doi:10.1038/nrd2274

Cancer: Double death for cancer cells | PDF (112 KB)

p186 | doi:10.1038/nrd2273

Sleep disorders: Counting orexins | PDF (152 KB)

p186 | doi:10.1038/nrd2277

Target validation: Determining druggability | PDF (118 KB)

p187 | doi:10.1038/nrd2275

Anticancer drugs: Collusion | PDF (120 KB)

p188 | doi:10.1038/nrd2276

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Perspectives

Viewpoint

How can drug discovery for psychiatric disorders be improved?

Yves Agid, György Buzsáki, David M. Diamond, Richard Frackowiak, Jay Giedd, Jean-Antoine Girault, Anthony Grace, Jeremy J. Lambert, Husseini Manji, Helen Mayberg, Maurizio Popoli, Alain Prochiantz, Gal Richter-Levin, Peter Somogyi, Michael Spedding, Per Svenningsson & Daniel Weinberger

p189 | doi:10.1038/nrd2217

Despite the clear need for better therapies for psychiatric disorders such as depression and schizophrenia, novel drugs — particularly those that could revolutionize treatment — have been rare in recent years. Following a symposium in which the underlying reasons for this problem were discussed, a group of experts from across the field of neuroscience highlight key advances in our understanding of psychiatric disorders, and propose steps that can be taken to improve the effectiveness of drug discovery in this field.

Innovation

A robustness-based approach to systems-oriented drug design

Hiroaki Kitano

p202 | doi:10.1038/nrd2195

The intrinsic robustness of biological systems is a key factor preventing the success of potential drugs that target specific molecules. Using examples based on existing drugs, Kitano discusses how a greater consideration of the importance of robustness could influence the design of new drugs intended to control complex systems.

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Reviews

A decade of fragment-based drug design: strategic advances and lessons learned

Philip J. Hajduk & Jonathan Greer

p211 | doi:10.1038/nrd2220

Fragment-based drug design involves screening a small number of low-molecular-mass compounds with the aim of identifying low-affinity 'fragments' that are well-suited for optimization into more potent compounds. Hajduk and Greer describe the evolution of this approach into a valuable alternative to high-throughput screening for the discovery of lead compounds, and highlight lessons learned from its application over the past decade.

High-throughput electronic biology: mining information for drug discovery

William Loging, Lee Harland & Bryn Williams-Jones

p220 | doi:10.1038/nrd2265

In this Review, Loging and colleagues discuss how high-throughput techniques in electronic biology can utilize the vast range of life science in silico resources, and examine how best to apply these techniques to aid the drug discovery process.

Lipids and lipid-based formulations: optimizing the oral delivery of lipophilic drugs

Christopher J. H. Porter, Natalie L. Trevaskis & William N. Charman

p231 | doi:10.1038/nrd2197

Lipophilic, poorly water-soluble drug candidates are common outcomes of drug discovery programmes. Porter and colleagues discuss mechanisms by which lipids and lipidic excipients can improve oral absorption of lipophilic drugs, and provide a perspective on the future applications of lipid-based delivery systems.

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Careers and Recruitment

Computational chemistry

p251 | doi:10.1038/nrd2271

Correspondence

Correspondence: Biosimilars: the impact of their heterogeneity on regulatory approval

Asterios S Tsiftsoglou

| doi:10.1038/nrd2093-c1

Corrigendum: Mining the Wnt pathway for cancer therapeutics

Nick Barker & Hans Clevers

| doi:10.1038/nrd2279

Corrigendum: Drug–target residence time and its implications for lead optimization

Robert A. Copeland, David L. Pompliano & Thomas D. Meek

| doi:10.1038/nrd2281

Erratum: 2006 drug approvals: finding the niche

Joanna Owens

| doi:10.1038/nrd2282

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