Bayesian models trained with HTS data for predicting β-haematin inhibition and in vitro antimalarial activity.
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Getting the most out of PubChem for virtual screeningIdentification and SAR Evaluation of Hemozoin-Inhibiting Benzamides Active against Plasmodium falciparum.High-Throughput Screening and Prediction Model Building for Novel Hemozoin Inhibitors Using Physicochemical Properties.Prediction model for anti-malarial activities of hemozoin inhibitors using physicochemical properties.
P2860
Bayesian models trained with HTS data for predicting β-haematin inhibition and in vitro antimalarial activity.
description
2014 nî lūn-bûn
@nan
2014 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի դեկտեմբերին 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
Bayesian models trained with H ...... n vitro antimalarial activity.
@ast
Bayesian models trained with H ...... n vitro antimalarial activity.
@en
type
label
Bayesian models trained with H ...... n vitro antimalarial activity.
@ast
Bayesian models trained with H ...... n vitro antimalarial activity.
@en
prefLabel
Bayesian models trained with H ...... n vitro antimalarial activity.
@ast
Bayesian models trained with H ...... n vitro antimalarial activity.
@en
P2093
P2860
P1476
Bayesian models trained with H ...... in vitro antimalarial activity
@en
P2093
Jill M Combrinck
Peter J Smith
Timothy J Egan
P2860
P304
P356
10.1016/J.BMC.2014.12.020
P407
P577
2014-12-20T00:00:00Z