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In silico synthesis of analogous lead libraries for drug design by molecular enumeration

Dissertation (MSc (Bioinformatics))--University of Pretoria, 2007.

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Other Authors: Joubert, Fourie
Format: Thesis
Published: University of Pretoria 2013
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access_status_str Open Access
author2 Joubert, Fourie
author_browse Joubert, Fourie
author_facet Joubert, Fourie
collection Thesis
dc_rights_str_mv © University of Pretoria 20
description Dissertation (MSc (Bioinformatics))--University of Pretoria, 2007.
format Thesis
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institution University of Pretoria (South Africa)
last_indexed 2026-06-10T12:40:07.008Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2013
publishDateRange 2013
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publisher University of Pretoria
publisherStr University of Pretoria
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spelling oai:repository.up.ac.za:2263/24052 In silico synthesis of analogous lead libraries for drug design by molecular enumeration Joubert, Fourie wolf@entelect.co.za Cochrane, Wolf Drugs In silico Enumeration Liglib UCTD Dissertation (MSc (Bioinformatics))--University of Pretoria, 2007. The current costs of drug discovery are extremely high and need to be addressed if diseases such as AIDS and malaria are to be combated. The major reasons for the high costs are the use of expensive in vitro methods and the high failure rate of drugs at clinical testing phases. In silico techniques hold tremendous potential in addressing the high costs. In silico drug design can be done at a fraction of the cost of in vitro techniques, and can be used in synergy with in vitro techniques by doing much of the screening before any experimental studies, thereby reducing the chemical space to be searched experimentally. In silico techniques can also enhance the quality of drug candidates sent to clinical phases, increasing the probability of success. In this study techniques were investigated to build analogous ligand libraries with scaffolds and molecular building blocks through a user guided process, including the development of the LIGLIB program, which is an Open Source package for lead development. The Markush molecular enumeration technique was implemented in C++ with a Python front-end extending it to the Python molecular visualization tool, Chimera. The software makes use of chemical graphs to make permutations according to user inputs, generating an output library in SMILES and Mol2 format, the later of which is generated by Corina. As part of the validation of the software it was used in a lead discovery experiment which targeted Plasmodium falciparum Glutathione S-transferase. The developed software was able to generate a series of suitable molecules, thereby validating the Markush molecular enumeration technique as well as its implementation in LIGLIB. Biochemistry unrestricted 2013-09-06T16:32:56Z 2008-07-01 2013-09-06T16:32:56Z 2007-09-06 2007 2008-04-21 Dissertation a 2007 http://hdl.handle.net/2263/24052 http://upetd.up.ac.za/thesis/available/etd-04212008-135220/ © University of Pretoria 20 application/pdf University of Pretoria
spellingShingle Drugs
In silico
Enumeration
Liglib
UCTD
In silico synthesis of analogous lead libraries for drug design by molecular enumeration
title In silico synthesis of analogous lead libraries for drug design by molecular enumeration
title_full In silico synthesis of analogous lead libraries for drug design by molecular enumeration
title_fullStr In silico synthesis of analogous lead libraries for drug design by molecular enumeration
title_full_unstemmed In silico synthesis of analogous lead libraries for drug design by molecular enumeration
title_short In silico synthesis of analogous lead libraries for drug design by molecular enumeration
title_sort in silico synthesis of analogous lead libraries for drug design by molecular enumeration
topic Drugs
In silico
Enumeration
Liglib
UCTD
url http://hdl.handle.net/2263/24052
http://upetd.up.ac.za/thesis/available/etd-04212008-135220/