Compound 390 induces HBV capsid accumulation via an ROS-mediated mechanism. by Daniel P. Bradley (10306893)

1466 does not change total yield of capsids during biochemical assembly reactions. by Daniel P. Bradley (10306893)

1466 slows the capsid assembly rate in biochemical Cp149 capsid assembly reactions. by Daniel P. Bradley (10306893)

1466 inhibits capsid accumulation independent of HBV replication. by Daniel P. Bradley (10306893)

Screening HBV RNaseH inhibitors in HepDES19 cell for effects on capsids and core protein. by Daniel P. Bradley (10306893)

Top 50 results of a commercial kinase screen using [γ³³]-ATP and human obscurin SH3-DH as substrates. by Daniel Koch (388049)

“…While MST2 addition resulted in strong and saturable phosphorylation, TBK1 led to much lower phosphorylation levels and CaMK4 addition led to an intermediate phosphorylation level exhibiting a biphasic behaviour with phosphorylation levels decreasing at higher substrate concentrations. …”

Nuclear shape and the condensation and disposition of chromatin were sufficient to identify cells i) entering apoptosis (ST 1), ii) in the course of apoptosis (ST 2 to ST 5) and ii... by Frédérique Nolin (2151472)

αHT compound 390 does not affect intracellular capsid accumulation or encapsidated HBV RNA levels in HepG2.2.15 cells. by Daniel P. Bradley (10306893)

Compound structures and preferential inhibition of the HBV plus-polarity DNA strand. by Daniel P. Bradley (10306893)

<i>PHO5</i> AS elongation affects <i>PHO5</i> gene expression <i>via</i> histone acetylation. by Ana Novačić (8373573)

Synthetic feasibility scores of 20 molecular fragments. by Bin Pan (742525)

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The scatter plot of the target variable solubility dataset. by Bin Pan (742525)

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Samples with the highest solubility after high-throughput screening. by Bin Pan (742525)

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Assessment values of machine learning models. by Bin Pan (742525)

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List of datasets in AqSolDB. by Bin Pan (742525)

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Schematic workflow diagram of the StackBoost model framework. by Bin Pan (742525)

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Comparison of training and predicted values of compound water solubility for different machine learning models: (A) AdaBoost, (B) GBDT, (C) LGBM, (D) RF, (E) XGBoost, (F) RF, and (... by Bin Pan (742525)

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Pearson correlation analysis between pairs of feature parameters. by Bin Pan (742525)

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Comparison of actual vs predicted values after transfer. by Bin Pan (742525)

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List of available information in each column of AqSolDB. by Bin Pan (742525)

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