Proteochemometric modeling of HIV protease susceptibility.
about
XMPP for cloud computing in bioinformatics supporting discovery and invocation of asynchronous web servicesBioTriangle: a web-accessible platform for generating various molecular representations for chemicals, proteins, DNAs/RNAs and their interactionsProteochemometric 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 fingerprintSignificantly improved HIV inhibitor efficacy prediction employing proteochemometric models generated from antivirogram dataProteochemometric 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 FingerprintsProteochemometric modeling in a Bayesian framework.Computational chemogenomics: is it more than inductive transfer?Screening of selective histone deacetylase inhibitors by proteochemometric modeling.Towards predictive resistance models for agrochemicals by combining chemical and protein similarity via proteochemometric modellingUse of machine learning approaches for novel drug discovery.The recent progress in proteochemometric modelling: focusing on target descriptors, cross-term descriptors and application scope.Proteochemometric model for predicting the inhibition of penicillin-binding proteins.Benchmarking of protein descriptor sets in proteochemometric modeling (part 2): modeling performance of 13 amino acid descriptor sets.Ultra high performance liquid chromatography coupled with triple quadrupole mass spectrometry and chemometric analysis of licorice based on the simultaneous determination of saponins and flavonoids.Benchmarking of protein descriptor sets in proteochemometric modeling (part 1): comparative study of 13 amino acid descriptor sets.Globular structure of a human immunodeficiency virus-1 protease (1DIFA dimer) in an effective solvent medium by a Monte Carlo simulation.Modelling ligand selectivity of serine proteases using integrative proteochemometric approaches improves model performance and allows the multi-target dependent interpretation of features.Proteochemometric Modeling of the Origin of Thymidylate Synthase Inhibition.Illuminating the origins of spectral properties of green fluorescent proteins via proteochemometric and molecular modeling.Proteochemometric Modeling of the Interaction Space of Carbonic Anhydrase and its Inhibitors: An Assessment of Structure-based and Sequence-based Descriptors.Residue energy and mobility in sequence to global structure and dynamics of a HIV-1 protease (1DIFA) by a coarse-grained Monte Carlo simulation.Proteochemometric modeling as a tool to design selective compounds and for extrapolating to novel targetsPolypharmacology modelling using proteochemometrics (PCM): recent methodological developments, applications to target families, and future prospectsChemoinformatics Taking Biology into Account: ProteochemometricsAn Untargeted Metabolomics Approach to Investigate the Metabolic Modulations of HepG2 Cells Exposed to Low Doses of Bisphenol A and 17β-Estradiol
P2860
Q21284376-799DD1BF-E091-499D-8EDE-513A21F185CBQ27902315-4B94EEDA-7A6C-4A03-ABA3-01CDE8746DABQ28476537-1E102E8E-4252-4D96-AAD4-34852F3D4653Q28481635-359E4027-C5D1-4E43-85F1-45C620333F20Q28486299-A81E4A64-9F3D-4E9E-8207-8999365F98ABQ28546634-DCAC34B8-8C86-44FF-94D3-69839020B30EQ28550655-2C57D1CF-C025-4F67-8447-A686E8774252Q30086274-AD3CB42D-B00C-4200-B9F1-7E07E26D6270Q30361816-969596F0-8962-45DF-8BA4-E8A7F130A4D7Q30420578-50F06569-46AF-46E0-AD55-983FC57294E2Q34276713-0CCA875F-DD81-4C26-B46E-F8DBBBB55AD2Q38712793-C5042118-45BA-4ED8-AD58-124A8C2842F8Q38731960-288EB205-8B82-442B-AA7B-053BDD803FB1Q39108153-E0B5B31F-94DA-47C1-8A38-DE579E020F3AQ39411048-8C63C1AF-32FE-4A47-AFD1-20F2EBFD1C0DQ39702110-6B6B2008-D0A2-4E87-BBD7-FE489AA013DEQ41760025-E7A6A8F9-1DBC-45A1-A8C0-5D15FFCAC959Q43108589-69E67BB8-0CC3-44E8-BF86-4C504FC968FFQ45383758-4641351F-7A49-49E9-BC1E-E98329EADE5FQ46237610-61B77952-948E-4F3E-8F7B-B237BF9CF175Q50451269-697C76AF-1C4E-4E4A-9DDF-1FFA05F96376Q51319882-E5B21613-3E70-488D-8F59-2FE3B50528BCQ51841431-6386672A-C913-4CDF-8367-5E2BD26C5404Q54152447-955BEBB0-F146-45E9-B4D9-0AFC3741BB79Q54152494-A791E205-25A9-48E5-9C70-D7305B2D06D4Q56914186-8847B93B-ED82-4C09-B818-D03CC1C5136CQ57491978-71C86B47-E418-48F0-A5DA-B4B656BED358
P2860
Proteochemometric modeling of HIV protease susceptibility.
description
2008 nî lūn-bûn
@nan
2008 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
name
Proteochemometric modeling of HIV protease susceptibility.
@ast
Proteochemometric modeling of HIV protease susceptibility.
@en
Proteochemometric modeling of HIV protease susceptibility.
@nl
type
label
Proteochemometric modeling of HIV protease susceptibility.
@ast
Proteochemometric modeling of HIV protease susceptibility.
@en
Proteochemometric modeling of HIV protease susceptibility.
@nl
prefLabel
Proteochemometric modeling of HIV protease susceptibility.
@ast
Proteochemometric modeling of HIV protease susceptibility.
@en
Proteochemometric modeling of HIV protease susceptibility.
@nl
P2860
P50
P356
P1433
P1476
Proteochemometric modeling of HIV protease susceptibility.
@en
P2093
Martin Eklund
Peteris Prusis
P2860
P2888
P356
10.1186/1471-2105-9-181
P577
2008-04-10T00:00:00Z
P5875
P6179
1013229337