NDLI: HIV drug resistance analysis tool based on process algebra

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HIV drug resistance analysis tool based on process algebra

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HIV drug resistance analysis tool based on process algebra

Content Provider	ACM Digital Library
Author	Ferreira, João Eduardo de Araújo, Luciano Vieira Sabino, Ester C.
Abstract	The increasing number of drugs used in HIV patient treatment and the mutations associated with drug resistance make the inference of drug resistance a complex task that demands computational systems. Furthermore, the software development/update can generate an extra level of complexity in the process drug resistance analysis. An alternative to handle the complexity of drug resistance and software development is to use a formal representation of involved processes, such as process algebra. This allows mathematical reasoning about the analysis process, a precise description of system behavior, more advanced computational approaches, as concurrent/parallel execution and (semi) automatic software development. The first contribution of this research is a mapping of drug resistance algorithms rules into expressions of process algebra which facilitates the computational manipulation of theses rules. The second contribution is the HIVdag (HIV Drug Analysis Generator) system. This software supports the definition, generation and analyses of genotypic drug resistance tests based on process algebra expressions. Therefore, the users can easily create/update their own drug resistance algorithms any time and independent of software development.
Starting Page	1358
Ending Page	1363
Page Count	6
File Format	PDF
ISBN	9781595937537
DOI	10.1145/1363686.1364001
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2008-03-16
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Process algebra Hiv Mutation analysis Genotypic drug resistance testing Drug resistance Npdl
Content Type	Text
Resource Type	Article

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