Improved approach for proteochemometrics modeling: application to organic compound--amine G protein-coupled receptor interactions.
about
Proteochemometric modeling of the susceptibility of mutated variants of the HIV-1 virus to reverse transcriptase inhibitorsProteochemometric modeling of the bioactivity spectra of HIV-1 protease inhibitors by introducing protein-ligand interaction fingerprintA unified proteochemometric model for prediction of inhibition of cytochrome p450 isoformsInsights into an original pocket-ligand pair classification: a promising tool for ligand profile predictionProteochemometric modeling of the antigen-antibody interaction: new fingerprints for antigen, antibody and epitope-paratope interactionMultivariate PLS Modeling of Apicomplexan FabD-Ligand Interaction Space for Mapping Target-Specific Chemical Space and Pharmacophore FingerprintsScreening of selective histone deacetylase inhibitors by proteochemometric modeling.Proteochemometric modeling of HIV protease susceptibility.Virtual screening of GPCRs: an in silico chemogenomics approach.Classification of G-protein coupled receptors based on support vector machine with maximum relevance minimum redundancy and genetic algorithm.Kinome-wide interaction modelling using alignment-based and alignment-independent approaches for kinase description and linear and non-linear data analysis techniques.Computer aided selection of candidate vaccine antigens.The recent progress in proteochemometric modelling: focusing on target descriptors, cross-term descriptors and application scope.CompoundProtein Interaction Prediction Within Chemogenomics: Theoretical Concepts, Practical Usage, and Future Directions.Proteochemometric model for predicting the inhibition of penicillin-binding proteins.Proteochemometric Modeling of the Origin of Thymidylate Synthase Inhibition.Visualizing the GPCR Network: Classification and Evolution.Design of a tripartite network for the prediction of drug targets.Illuminating the origins of spectral properties of green fluorescent proteins via proteochemometric and molecular modeling.Using the partial least squares method to model the electrospray ionization response produced by small pharmaceutical molecules in positive mode.Proteochemometric Modeling of the Interaction Space of Carbonic Anhydrase and its Inhibitors: An Assessment of Structure-based and Sequence-based Descriptors.Peptide Binding Prediction to Five Most Frequent HLA-DQ Proteins - a Proteochemometric Approach.Proteochemometric modeling as a tool to design selective compounds and for extrapolating to novel targetsChemoinformatics Taking Biology into Account: Proteochemometrics
P2860
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P2860
Improved approach for proteochemometrics modeling: application to organic compound--amine G protein-coupled receptor interactions.
description
2005 nî lūn-bûn
@nan
2005 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2005 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2005年の論文
@ja
2005年論文
@yue
2005年論文
@zh-hant
2005年論文
@zh-hk
2005年論文
@zh-mo
2005年論文
@zh-tw
2005年论文
@wuu
name
Improved approach for proteoch ...... coupled receptor interactions.
@ast
Improved approach for proteoch ...... coupled receptor interactions.
@en
type
label
Improved approach for proteoch ...... coupled receptor interactions.
@ast
Improved approach for proteoch ...... coupled receptor interactions.
@en
prefLabel
Improved approach for proteoch ...... coupled receptor interactions.
@ast
Improved approach for proteoch ...... coupled receptor interactions.
@en
P2093
P356
P1433
P1476
Improved approach for proteoch ...... coupled receptor interactions.
@en
P2093
Maris Lapinsh
Peteris Prusis
Staffan Uhlén
P304
P356
10.1093/BIOINFORMATICS/BTI703
P407
P50
P577
2005-10-04T00:00:00Z