Informatics
This section features DDW articles around informatics in drug discovery.
Page 14 to 28 of 54 |   < PREVIOUS PAGE   NEXT PAGE >
Seeing is Believing: The Benefits of Visual Analysis in Research By Dr Christopher Ahlberg
There is a growing pressure in todays climate for pharmaceutical companies to find tomorrows wonder drugs and dominate the major market segments. Recently, they have also been under attack for poor research productivity, for failures in drug safety and for off-label marketing. The use of visual analysis could do much to improve their performance in research and across all areas of activity.

Read More

Applying the semantic web to drug discovery and development By Dr Eric Neumann
There is much happening in drug development these days: new target classes, increasing costs, new forms of high throughput screening, and the promise of personalised medicine. But of all the issues, the one that now takes centre stage (and directly impacts the aforementioned ones) is drug safety.

Read More

Computer-aided design: progress towards more rational drug discovery By Dr Wolfgang H.B. Sauer
Drug discovery is a science, a craft and an art, and often it requires a fair amount of serendipity or plain luck to succeed. Success is rare and costly, as evidenced by numerous reports and reviews (1,2). In its quest for success, industry nowadays relies more than ever on modern computational tools in all stages of the process.

Read More

Ontologies - Semantic networks of pharmaceutical knowledge By Dr Stephen P. Gardner
In the current climate making information more transparent to internal R&D staff and to external audiences such as regulators and consumers is crucial to business effectiveness. A new generation of semantic technologies capable of generating a consistent view of knowledge derived from multiple diverse data sources is maturing rapidly.

Read More

Redefining Drug Discovery Informatics By Bryan S. Koontz
As the pharmaceutical industry changes in response to unprecedented challenges, information technology supporting the drug discovery process must evolve and be redefined in order to improve research productivity and success rates.

Read More

Unlocking the value in Data By Dr Amber Salzman
In recent years enormous sums have been spent on systems and data management, but are we getting full value from these investments? We discuss here how organisations, scientists and, indeed, vendors themselves must work as one to extract total value from our vast data repositories.

Read More

The Current Bioinformatics Analytical Software Landscape By Charles Chang
With the vast amount of biochemical data generated from experiments conducted by research laboratories around the globe, there is strong demand for software to analyse and manage the data effectively.

Read More

Tools for Target Identification, Validation and Biomarker Discovery By Dr Paul Denny-Gouldson
As automation in the drug discovery arena increases then so does the amount and complexity of the data. We discuss an emerging solution that now integrates various technologies to provide a scientific data intelligence tool giving scientists increasing scope to identify, evaluate and assess potential targets with reduced ‘lab-based’ experimentation.

Read More

Enabling Collaborative Science via the Integration of Analytical Data into Organisational Systems By Mark Bayliss
The storage of data drawn from the analytical process has for years been the stumbling block in the overall ‘knowledge management’ of the discovery process.

Read More

The evolving world of drug discovery data integration in the pharmaceutical industry Dr David Sedlock
The world of drug discovery has been impacted significantly by an ever evolving use of computer systems during the past 25 years with the greatest change occurring during the past 10 years or so as a consequence of the genesis of extremely large datasets from bioinformatics and cheminformatics operations.

Read More

Collaborative eR&D By Richard ORourke
In 2001 at the GlaxoSmithKline inaugural shareholder meeting, Chief Executive JP Garnier was clearly not happy with what he regarded as the productivity crisis within the industrys R&D function.

Read More

Making the Most of Drug Discovery Data By Dr Nick Davies and Dr Tim Peakman
Discovery scientists in most pharmaceutical companies are struggling with incompatible legacy systems, a growing volume of data and the imminent advent of a product model that will demand much more of them.

Read More

Role of image informatics in accelerating drug discovery and development By Robert Dunkle
There is a new category of informatics that is proving itself essential to the acceleration of drug discovery and development. Image informatics is the systematic use of image data as a means to help interpret experiments and understand biology.

Read More

In Silico Structure-based Drug Design - Shifting the bottleneck? By Dr Jonathan Heal Drug Discovery
The use of in silico methods in drug design has grown significantly in popularity over the past couple of years. Indeed many pharma companies have already adopted some type of virtual screening capability to complement HTS methods. Will we eventually see this technology replacing HTS and removing the burden of discovery chemistry?

Read More

Informatics
Page 14 to 28 of 54 |   < PREVIOUS PAGE   NEXT PAGE >