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DETAILED information regarding the preclinical development for data analysis in computer applications of pharmacy.
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In drug development, preclinical development, also named preclinical studies and nonclinical studies, is a stage of research that begins before clinical trials (testing in humans) can begin, and during which important feasibility, iterative testing and drug safety data are collected. The main goals of pre-clinical studies are to determine the safe dose for first-in-man study and assess a product's safety profile. Preclinical studies are conducted to define pharmacological and toxicological effects not only prior to initiation of human studies but throughout clinical development. Both in vitro and in vivo studies can contribute to this characterization.
Scientists from many different disciplines participate in pharmaceutical development. Their research areas may be very different, but they all generate scientific data (and text documents), which are the products of development laboratories. Literally, truckloads of data and documents are submitted to the regulatory authorities in support of investigational and marketing authorization filings. For example, even a typical Investigational New Drug (IND) application requires around 50,000 pages of supporting documents. One way or another, every single data point has to go through the acquiring, analyzing, managing, reporting, auditing, and archiving process according to a set of specific rules and regulations. Needless to say, the wide use of computers has tremendously increased efficiency and productivity in pharmaceutical development.
This overview discusses these topics briefly by focusing on the preclinical development area (also known as the area of Chemical Manufacturing and Control, or CMC). Considering the pervasiveness of computer applications in every scientist’s daily activities, special emphases are put on three widely used computer systems:
The importance of CDS is directly related to the roles that chromatography, particularly high-performance liquid chromatography (HPLC) and gas chromatography(GC), play in pharmaceutical analysis. HPLC and GC are the main workhorses in pharmaceutical analysis. In today’s pharmaceutical companies, development work cannot be done without HPLC and GC. CDS are also used for several other instrumental analysis technologies such as ion (exchange) chromatography (IC), capillary electrophoresis (CE), and supercritical fluid chromatography (SFC).
In the 1960s and early 1970s, chromatographs were relatively primitive and inefficient. Chromatographers had to use micro syringes for sample injection and stopwatches for measurement of retention times. The chromatograms were collected with a strip chart recorder. Data analysis was also performed manually. Peak areas were obtained by drawing a “best fit” triangle manually for each peak and then using the equation Area = ½Base × Height. At that time, the management of chromatographic data was essentially paper based and very inefficient
In the mid-1970s, the integrator was introduced. At first, the integrator worked similarly to a strip chart recorder with the added capabilities of automatically calculating peak area and peak height. Because of limited available memory, chromatograms could not be stored for batch processing. However, new models with increasing capabilities quickly replaced the older ones. The newer models had a battery back-up to maintain integration parameters and larger memory modules to allow the storage of chromatograms for playback and reintegration. At that time, the integrator increased productivity and efficiency in pharmaceutical analysis, which in turn made HPLC and GC even more popular.
The Emergence and Evolution of CDS The first generation of CDS systems were based on a working model of multiuser, time-sharing minicomputers. The minicomputers were connected to terminals in the laboratory that the analysts would use. The detector channels of the chromatographs were connected to the data system through a device called the analog-to-digital. (A/D) converter, which would convert the analog signals from the detectors into digital signals. In the late 1970s, Hewlett-Packard introduced the HP-3300 series data-acquisition system. Through the A/D converters, the HP system was able to collect chromatographic data from up to 60 detector channels. This represented the beginning of computerized chromatographic data analysis and management Because the CDS used a dedicated hardware and wiring system, it was relatively expensive to install.
Direct instrument control (or the lack of it) was an important issue for the earlier version of CDS. The scheme of connecting the detector channels through A/Ds to CDS worked well in analytical laboratories across the pharmaceutical industry. The scheme provided enough flexibility so that the CDS could collect data from a variety of instruments, including GC, HPLC, IC,SFC, and CE. It was equally important that the CDS could be connected to instruments that were manufactured by different vendors. It could not be guaranteed that the proper instrument parameters were used in sample analysis. Another need came from the increased use of information-rich detectors such as photodiode array detectors and mass spectrometer(MS) detectors. The data from these detectors could not be collected by CDS through A/Ds. This represented an important gap in reaching full compliance of the 21 CFR Part 11 regulations. Direct instrument control would avoid these problems. To address these problems, the instrument vendors had to cooperate by providing each other with the source codes of their software. Some progress has been made in this area. A good example is that of the CDS Empower (Waters), which now can directly control HPLC and GC equipment manufactured by Agilent.
Lists of the major CDS vendors and current contact information.
Laboratory information management systems, or LIMS represent an integral part of the data management systems used in preclinical development. LIMS are needed partly because CDS cannot provide enough data management capability. For example, CDS cannot handle data from nonchromatographic tests. Another important use of LIMS is for sample management in preclinical development, more specifically in drug substance and drug product stability studies. Stability studies are very labor intensive, LIMS are designed to automate a large part of these stability studies including sample tracking, sample distribution, work assignment, results capturing, data processing, data review and approval, report generation, and data archiving, retrieving, and sharing.
Four Types of Architectural Options When Implementing LIMS 1.LAN (local area network) installation. In a multiple site situation and through the standard client/server setup, the application would be hosted separately on a server at each site connected to PC clients. In this setup, the LIMS are installed on both the clients and the server. System administration is required at each facility. 2.WAN (wide area network) installation- In this setup the LIMS take advantage of telecommunication technology to cover a great distance. The setup can also be used to connect disparate LANs together. In this configuration, the LIMS are installed on both the clients and a central server.
3.Centrally hosted thin client installation- For this setup, system administration is managed at a corporate center, where the LIMS are hosted and distributed via a WAN or the Internet with a virtual private network (VPN). 4.ASP (Application Service Provision provider)-hosted installation.- In this setup, the LIMS are hosted on a centrally managed server form and maintained by third-party specialists. Users access the LIMS with any Internet-connected PC with a standard Web browser.