Will genomics revolutionize antimicrobial drug discovery?

Utilizing genome sequence data from bacterial and fungal pathogens for the discovery of new antimicrobial agents has received considerable attention, both practical and critical, from the pharmaceutical and biotechnological communities. Although no new drugs derived from genomics-based discovery have been reported to be in a development pipeline, the utilization of genomics has revolutionized many aspects of drug discovery. The application, utility, opportunity, and challenges afforded by many of these new approaches are discussed.     

Can cellular models revolutionize drug discovery in Parkinson's disease?

The study of mechanisms that underlie Parkinson's disease (PD), as well as translational drug development, has been hindered by the lack of appropriate models. Both cell culture systems and animal models have limitations, and to date none faithfully recapitulate all of the clinical and pathological phenotypes of the disease. In this review we examine the various cell culture model systems of PD, with a focus on different stem cell models that can be used for investigating disease mechanisms as well as drug discovery for PD. We conclude with a discussion of recent discoveries in the field of stem cell biology that have led to the ability to reprogram somatic cells to a pluripotent state via the use of a combination of genetic factors; these reprogrammed cells are termed “induced pluripotent stem cells” (iPSCs). This groundbreaking technique allows for the derivation of patient-specific cell lines from individuals with sporadic forms of PD and also those with known disease-causing mutations. Such cell lines have the potential to serve as a human cellular model of neurodegeneration and PD when differentiated into dopaminergic neurons. The hope is that these iPSC-derived dopaminergic neurons can be used to replicate the key molecular aspects of neural degeneration associated with PD. If so, this approach could lead to transformative new tools for the study of disease mechanisms. In addition, such cell lines can be potentially used for high-throughput drug screening. While not the focus of this review, ultimately it is envisioned that techniques for reprogramming of somatic cells may be optimized to a point sufficient to provide potential new avenues for stem cell-based restorative therapies.     

Data integration technologies: an unfulfilled revolution in the drug discovery process?

Successful life science data integration is a complex feat facing today's researchers and bioinformaticians. It demands the seamless access, integration and query of unprecedented amounts of disparate biological data to advance the pace and effectiveness of new drug discovery. This article outlines the current state of technologies available to help achieve this feat. It explores the evolutionary processes that created these challenges, and the underpinnings of several technological innovations working to overcome them. Together, these technologies aim to change the face of drug R&D through an enhanced understanding and interpretation of life sciences data.     

The aging process: where are the drug opportunities?

New data support a role for growth hormone secretagogue receptor agonists as rejuvenating agents. Two enzymes critical for the formation of beta-amyloid plaques in Alzheimer's disease have been identified. Estrogen receptor beta continues to emerge as a potential drug target. The orphan nuclear receptor Nurr1 appears to be a target for treatment of Parkinson's disease, and propargylamines are emerging as inhibitors of oxidative damage in neurons.     

Will the ubiquitin system furnish as many drug targets as protein kinases?

Protein phosphorylation and protein ubiquitination regulate most aspects of cell life, and defects in these control mechanisms cause cancer and many other diseases. In the past decade, protein kinases have become one of the most important classes of drug targets for the pharmaceutical industry. In contrast, drug discovery programs that target components of the ubiquitin system have lagged behind. In this Perspective, we discuss the reasons for the delay in this pipeline, the drugs targeting the ubiquitin system that have been developed, and new approaches that may popularize this area of drug discovery in the future.     

Will natural products remain an important source of drug research for the future?

In the highly competitive environment of contemporary pharmaceutical research, natural products provide a unique element of molecular diversity and biological functionality which is indispensable for drug discovery. The emergence of strategies to deliver drug leads from natural products within the same time frame as synthetic chemical screening has eliminated a major limitation of the past. At a more functional level, the application of molecular genetics techniques has permitted the manipulation of biosynthetic pathways for the generation of novel chemical species as well as rendering hitherto uncultivatable microorganisms accessible for secondary metabolite generation. These developments augur well for an industry confronted with the challenge of finding lead compounds directed at the plethora of new targets arising from genomics projects. The exploitation of structural chemical databases comprising a wide variety of chemotypes, in conjunction with databases on target genes and proteins, will facilitate the creation of new chemical entities through computational molecular modelling for pharmacological evaluation.     

Can medical genetics and evolutionary biology inspire drug target identification?

New strategies for target identification are urgently needed to tackle the current productivity challenges in drug discovery. By examining successful human drug targets, it can be seen that approximately 50% are associated with genetic disorders. Further analysis shows that these successfully targeted genes share some common evolutionary features, which strongly suggests that evolutionary information can help identify drug targets with the greatest potential for therapeutic development.     

Plant genetics enters the nano age?

Plant transformation has for many years relied on agrobacterium infection or biolistic particle delivery. However, these two methods are limited to model plant systems or a small number of crop species. This commentary highlights recent developments in the nanoparticle‐mediated transformation that have the potential to revolutionize how plants are transformed.     

Why is big Pharma getting out of antibacterial drug discovery?

Since the advent of the antibiotic era in the late 1940s drug discovery and development has evolved into an expensive, time consuming, cumbersome and bureaucratic process involving multiple interest groups such as pharmaceutical manufacturers, governmental regulatory authorities, patent officers, academic and clinical researchers and trial lawyers. It would seem that the least involved among the interest groups are the consumers of health care themselves. Politicians and the public alike complain loudly about drug prices although fewer and fewer new therapies are being developed. The cost and complexities of drug discovery and development have shifted the investment equation away from the development of drugs targeting short course therapies for acute diseases and towards long-term treatment of chronic conditions. Coupled with the failure of large investments into target-based approaches to produce novel antibacterial agents, companies large and small have exited from this field despite a growing clinical need.     

Papain-like lysosomal cysteine proteases and their inhibitors: drug discovery targets?

Papain-like lysosomal cysteine proteases are processive and digestive enzymes that are expressed in organisms from bacteria to humans. Increasing knowledge about the physiological and pathological roles of cysteine proteases is bringing them into the focus of drug discovery research. These proteases have rather short active-site clefts, comprising three well defined substrate-binding subsites (S2, S1 and S1') and additional broad binding areas (S4, S3, S2' and S3'). The geometry of the active site distinguishes cysteine proteases from other protease classes, such as serine and aspartic proteases, which have six and eight substrate-binding sites respectively. Exopeptidases (cathepsins B, C, H and X), in contrast with endopeptidases (such as cathepsins L, S, V and F), possess structural features that facilitate the binding of N- and C-terminal groups of substrates into the active-site cleft. Other than a clear preference for free chain termini in the case of exopeptidases, the substrate-binding sites exhibit no strict specificities. Instead, their subsite preferences arise more from the specific exclusion of substrate types. This presents a challenge for the design of inhibitors to target a specific cathepsin: only the cumulative effect of an assembly of inhibitor fragments will bring the desired result.