Object-relational databases: the next wave in pharmaceutical data management

Cargill, John F.; MacCuish, Norah E

doi:10.1016/s1359-6446(98)01264-1

Cited by 6 publications

(2 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This leads to one of the biggest obstacles in HTS: The collecting, deconvoluting, analyzing, sorting, and storage of the information generated [46,47]. The stored information itself as well as the ability to mine the burgeoning number of databases by linking HTS data to chemistry, and hit follow-up data like HTS pharmacokinetics and toxicological experiments [1,48] are key to success and of strong value as a corporate asset. Data-integration technologies are maturing rapidly [49] and the software in use has to provide enough flexibility [50].…”

Section: Data Handlingmentioning

confidence: 99%

High-throughput screening technologies

Thiericke

2003

Modern Methods of Drug Discovery

View full text Add to dashboard Cite

Section: Data Handlingmentioning

confidence: 99%

High-throughput screening technologies

Thiericke

2003

Modern Methods of Drug Discovery

View full text Add to dashboard Cite

“…Laboratory design may be a luxury for many who have to adapt existing laboratories to accommodate robotic equipment, but there are clearly different requirements, even if only that work areas, such as benches and fume hoods, invariably need to be bigger. In addition, a powerful integrated informatics system is required to handle the huge quantity of data generated by the design, synthesis, analysis and puri®cation of compounds in a high-throughput process [Warr, 1997;Cargill and MacCuish, 1998]. …”

mentioning

confidence: 99%

Life in the fast lane: High-throughput chemistry for lead generation and optimisation

Hunter¹

2001

J. Cell. Biochem.

View full text Add to dashboard Cite

The pharmaceutical industry has come under increasing pressure due to regulatory restrictions on the marketing and pricing of drugs, competition, and the escalating costs of developing new drugs. These forces can be addressed by the identi®cation of novel targets, reductions in the development time of new drugs, and increased productivity. Emphasis has been placed on identifying and validating new targets and on lead generation: the response from industry has been very evident in genomics and high throughput screening, where new technologies have been applied, usually coupled with a high degree of automation. The combination of numerous new potential biological targets and the ability to screen large numbers of compounds against many of these targets has generated the need for large diverse compound collections. To address this requirement, high-throughput chemistry has become an integral part of the drug discovery process.

show abstract

Chemical Information Computing Systems in Drug Discovery

Henry

2003

Burger's Medicinal Chemistry and Drug Discovery

View full text Add to dashboard Cite

An important component of drug discovery is the storage, searching, and manipulation of chemical structures and reactions. Over the past three decades, the science of chemical information management has grown along with advances in computer hardware, software, and database systems. This chapter discusses the evolution of chemical information storage in the corporate environment, from flat files to specialized databases to relational database systems. An example methodology for storing and searching structures in a relational database system is described. The recent deluge of information from high throughput chemistry is leading to the appearance of chemical data marts, data warehouses, and structural data mining, which are briefly discussed. Finally, a short look is taken into the future of chemical information and knowledge management, with respect to databases, software, and hardware. This review focuses on chemical structure database management. Other chapters describe the generation of chemical structures and their properties and the use of this data in the drug discovery process.

show abstract

Object-relational databases: the next wave in pharmaceutical data management

Cited by 6 publications

References 2 publications

High-throughput screening technologies

High-throughput screening technologies

Life in the fast lane: High-throughput chemistry for lead generation and optimisation

Chemical Information Computing Systems in Drug Discovery

Contact Info

Product

Resources

About