Significantly improved HIV inhibitor efficacy prediction employing proteochemometric models generated from antivirogram data
about
Prediction of the potency of mammalian cyclooxygenase inhibitors with ensemble proteochemometric modeling.A polymorphism at position 400 in the connection subdomain of HIV-1 reverse transcriptase affects sensitivity to NNRTIs and RNaseH activityChemical, target, and bioactive properties of allosteric modulationHIV-1 diversity, transmission dynamics and primary drug resistance in AngolaProteochemometric modeling in a Bayesian framework.PASS-based approach to predict HIV-1 reverse transcriptase resistance.A novel multi-target regression framework for time-series prediction of drug efficacy.Towards predictive resistance models for agrochemicals by combining chemical and protein similarity via proteochemometric modellingDefective hydrophobic sliding mechanism and active site expansion in HIV-1 protease drug resistant variant Gly48Thr/Leu89Met: mechanisms for the loss of saquinavir binding potencyThe recent progress in proteochemometric modelling: focusing on target descriptors, cross-term descriptors and application scope.A Triazinone Derivative Inhibits HIV-1 Replication by Interfering with Reverse Transcriptase Activity.Benchmarking of protein descriptor sets in proteochemometric modeling (part 2): modeling performance of 13 amino acid descriptor sets.Unprecedently Large-Scale Kinase Inhibitor Set Enabling the Accurate Prediction of Compound-Kinase Activities: A Way toward Selective Promiscuity by Design?HIV drug resistance in HIV positive individuals under antiretroviral treatment in Shandong Province, China.Benchmarking of protein descriptor sets in proteochemometric modeling (part 1): comparative study of 13 amino acid descriptor sets.Inferring multi-target QSAR models with taxonomy-based multi-task learning.Non-nucleoside reverse transcriptase inhibitor (NNRTI) cross-resistance: implications for preclinical evaluation of novel NNRTIs and clinical genotypic resistance testing.Modelling ligand selectivity of serine proteases using integrative proteochemometric approaches improves model performance and allows the multi-target dependent interpretation of features.Identification of Allosteric Modulators of Metabotropic Glutamate 7 Receptor Using Proteochemometric Modeling.Polypharmacology modelling using proteochemometrics (PCM): recent methodological developments, applications to target families, and future prospects
P2860
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P2860
Significantly improved HIV inhibitor efficacy prediction employing proteochemometric models generated from antivirogram data
description
2013 nî lūn-bûn
@nan
2013 թուականին հրատարակուած գիտական յօդուած
@hyw
2013 թվականին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Significantly improved HIV inh ...... nerated from antivirogram data
@ast
Significantly improved HIV inh ...... nerated from antivirogram data
@en
Significantly improved HIV inh ...... nerated from antivirogram data
@nl
type
label
Significantly improved HIV inh ...... nerated from antivirogram data
@ast
Significantly improved HIV inh ...... nerated from antivirogram data
@en
Significantly improved HIV inh ...... nerated from antivirogram data
@nl
prefLabel
Significantly improved HIV inh ...... nerated from antivirogram data
@ast
Significantly improved HIV inh ...... nerated from antivirogram data
@en
Significantly improved HIV inh ...... nerated from antivirogram data
@nl
P2093
P2860
P50
P1476
Significantly improved HIV inh ...... nerated from antivirogram data
@en
P2093
Alwin Hendriks
Herman W T van Vlijmen
Jörg K Wegner
P2860
P304
P356
10.1371/JOURNAL.PCBI.1002899
P407
P577
2013-01-01T00:00:00Z