about
ChemDes: an integrated web-based platform for molecular descriptor and fingerprint computationPrediction of the potency of mammalian cyclooxygenase inhibitors with ensemble proteochemometric modeling.Chemically Aware Model Builder (camb): an R package for property and bioactivity modelling of small moleculesIdentification of binding sites and favorable ligand binding moieties by virtual screening and self-organizing map analysis.Open Source Bayesian Models. 3. Composite Models for Prediction of Binned ResponsesThe recent progress in proteochemometric modelling: focusing on target descriptors, cross-term descriptors and application scope.Active learning for computational chemogenomics.Kinome-Wide Profiling Prediction of Small Molecules.ChemSAR: an online pipelining platform for molecular SAR modeling.Modelling ligand selectivity of serine proteases using integrative proteochemometric approaches improves model performance and allows the multi-target dependent interpretation of features.PyBioMed: a python library for various molecular representations of chemicals, proteins and DNAs and their interactions.Prediction of PARP Inhibition with Proteochemometric Modelling and Conformal Prediction.Finding the molecular scaffold of nuclear receptor inhibitors through high-throughput screening based on proteochemometric modelling.Polypharmacology modelling using proteochemometrics (PCM): recent methodological developments, applications to target families, and future prospectsApplications of proteochemometrics - from species extrapolation to cell line sensitivity modelling
P2860
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P2860
description
2014 nî lūn-bûn
@nan
2014 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
Proteochemometric modeling in a Bayesian framework.
@ast
Proteochemometric modeling in a Bayesian framework.
@en
type
label
Proteochemometric modeling in a Bayesian framework.
@ast
Proteochemometric modeling in a Bayesian framework.
@en
prefLabel
Proteochemometric modeling in a Bayesian framework.
@ast
Proteochemometric modeling in a Bayesian framework.
@en
P2093
P2860
P50
P356
P1476
Proteochemometric modeling in a Bayesian framework.
@en
P2093
Daniel S Murrell
Eelke Bart Lenselink
Thérèse Malliavin
P2860
P2888
P356
10.1186/1758-2946-6-35
P407
P577
2014-06-28T00:00:00Z
P5875
P6179
1009481632