Linked Life Data

16724951

Source:http://linkedlifedata.com/resource/pubmed/id/16724951

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
15
pubmed:dateCreated
2006-5-26
pubmed:abstractText
While many inhibitors of the Human Immunodeficiency Virus (HIV), the causative agent of Acquired Immunodeficiency Syndrome (AIDS), have been developed, the problem of drug resistance has continued to plague the fight against the disease. The ability of computers to aid in the drug discovery process, and by default the resistance problem, has increased dramatically as the speed of computers and sophistication of associated calculation programs has grown. In particular, the capability of predicting a compound's ability to combat resistance prior to synthesis of drug candidates has proven particularly desirable. Since resistance can develop against a specific drug designed to inhibit only one stage of the viral cycle, combinations of drugs directed at more than one step have proven to be more effective than a single drug given alone. While the introduction of this combination therapy (termed highly active antiretroviral therapy (HAART)) has significantly decreased the death rate from HIV infections, resistance problems still arise. This paper will review previous approaches and address current and future computational strategies used in the design of second-generation and beyond drugs.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
1381-6128
pubmed:author
pubmed:issnType
Print
pubmed:volume
12
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1843-56
pubmed:dateRevised
2007-11-15
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
Assault on resistance: the use of computational chemistry in the development of anti-HIV drugs.
pubmed:affiliation
Department of Chemistry, McDaniel College, Westminster, MD 21157, USA. msmith@mcdaniel.edu
pubmed:publicationType
Journal Article, Review