PubMed Health⌕ Search
Home/Archive/PubMed

PubMed · 467014

An interactive toxicological data handling system for a PDP-12 computer.

G Felsky·D C Villeneuve·D Farmer
View original source ↗Export metadata ↓

Abstract

This paper describes a program developed for the cataloguing, storage and retrieval of toxicological data. The user can, through dialogue with the program, enter and update data, and request reports with statistical analyses. The system is written in the FOCAL-12 language for a PDP-12 laboratory computer, and is suitable for a larger number of moderately-sized experiments.

Explore related subjects

ComputersInformation SystemsToxicologyJournal Article

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

G Felsky, D C Villeneuve, D Farmer. 1979. An interactive toxicological data handling system for a PDP-12 computer.. https://doi.org/10.1016/0010-468x(79)90054-0

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

PubMed2000

Avatars in space.

Explore the source record for details and available documents.

Computers↗
PubMed2000

Structure-based inhibitor design.

Time and costs associated with the discovery of new drugs have been significantly reduced by enzyme structure-based approaches to the discovery of new chemotherapeutic agents. However, fundamental components of the overall approach continue to rely on technologies which, by their nature, involve relatively random processes (i.e., combinatorial chemistry and high-throughput screening). Thus, the efficiency of the drug discovery process potentially could be further improved through better use of structural information. In this regard, three-dimensional structures of enzymes are now being solved at high resolution and/or in conformations that provide data that should be more useful for inhibitor design or discovery. Scientists are beginning to appreciate the importance of water as a possible competitor of inhibitors for binding to target enzymes. New computational algorithms are improving the efficiency of identifying flexible inhibitors from among the large numbers of compounds in chemical databases. Also, tools of molecular genetics together with structures of target enzymes are likely to be used more frequently in dealing with the development of resistance to novel chemotherapeutic agents. Instead of detailing success stories in structure-based drug discovery, the following article considers how future efforts to discover or design new drugs may increasingly rely on information about molecular targets and less on data acquired via approaches involving random methodologies.

Computers↗