research articlejournal article
A novel simple QSAR model for the prediction of anti-HIV activity using multiple linear regression analysis
Abstract
Abstract is not available.- Anti-HIV
- HEPT derivatives
- MLR
- QSAR
- Stepwise regression
- Biochemistry & Molecular Biology
- Chemistry, Applied
- Chemistry, Medicinal
- Chemistry, Multidisciplinary
- 1 [(2 hydroxyethoxy)methyl] 6 (phenylthio)thymine
- 1 [(2 hydroxyethoxy)methyl] 6 (phenylthio)thymine derivative
- unclassified drug
- accuracy
- antiviral activity
- article
- drug structure
- Human immunodeficiency virus
- mathematical model
- multiple linear regression analysis
- prediction
- priority journal
- quantitative structure activity relation
- step wise multiple regression
- Anti-HIV Agents
- HIV-1
- HIV-1 Reverse Transcriptase
- Humans
- Linear Models
- Neural Networks (Computer)
- Quantitative Structure-Activity Relationship
- Reverse Transcriptase Inhibitors
- Thymine
- Anti-HIV
- HEPT derivatives
- MLR
- QSAR
- Stepwise regression
- Biochemistry & Molecular Biology
- Chemistry, Applied
- Chemistry, Medicinal
- Chemistry, Multidisciplinary
- 1 [(2 hydroxyethoxy)methyl] 6 (phenylthio)thymine
- 1 [(2 hydroxyethoxy)methyl] 6 (phenylthio)thymine derivative
- unclassified drug
- accuracy
- antiviral activity
- article
- drug structure
- Human immunodeficiency virus
- mathematical model
- multiple linear regression analysis
- prediction
- priority journal
- quantitative structure activity relation
- step wise multiple regression
- Anti-HIV Agents
- HIV-1
- HIV-1 Reverse Transcriptase
- Humans
- Linear Models
- Neural Networks (Computer)
- Quantitative Structure-Activity Relationship
- Reverse Transcriptase Inhibitors
- Thymine
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Last time updated on 03/06/2016
This paper was published in DSpace@NTUA (National Technical Univ. of Athens).
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