S. Hellberg

Prediction of the Human Pharmacokinetics of 30 Modern Antibiotics Using the ANDROMEDA Software

The paper uses ANDROMEDA software to predict human pharmacokinetics of 30 antibiotics, showing high accuracy and validating its use for drugs with complex pharmacokinetic properties.

Application of the ANDROMEDA Software for Prediction of the Human Pharmacokinetics of Modern Anticancer Drugs

The paper uses ANDROMEDA to predict human pharmacokinetics of 12 anticancer drugs, showing high accuracy and consistency with previous studies.

Predicting the Influence of Fat Food Intake on the Absorption and Systemic Exposure of Small Drugs using ANDROMEDA by Prosilico Software

This paper evaluates ANDROMEDA's ability to predict fat food-drug interactions using molecular structure and dose, comparing it to PBPK models and showing similar accuracy with lower error and broader applicability.

Predicting Gastrointestinal Absorption of Prodrugs and their Drugs with the ANDROMEDA by Prosilico Software

The paper uses ANDROMEDA software to predict absorption properties of prodrugs and their drugs, finding similar average passive absorption and dissolution potential, with some prodrugs showing higher absorption than their drugs.

Validation of predicted conformal intervals for prediction of human clinical pharmacokinetics

The paper validates conformal prediction intervals for human pharmacokinetic parameters using ANDROMEDA software, showing 78% of observed data within 70% confidence intervals.

Kupffer cells dictate hepatic responses to the atherogenic dyslipidemic insult

The paper investigates how Kupffer cells in the liver respond to atherogenic dyslipidemia and show they regulate systemic atherosclerosis by restraining lipoproteins and secreting pro-atherosclerotic factors.

ANDROMEDA by Prosilico Software Successfully Predicts Human Clinical Pharmacokinetics of 300 Drugs Out of Reach for In Vitro Methods

The paper predicts human clinical pharmacokinetics for 300 drugs that are not measurable by in vitro methods using the ANDROMEDA software, with predictions aligning with in vivo data.

Prediction and Classification of the Uptake and Disposition of Antidepressants and New CNS-Active Drugs in the Human Brain using the ANDROMEDA by Prosilico Software and Brainavailability-Matrix

The paper predicts brain uptake and disposition of antidepressants and CNS drugs using ANDROMEDA software and a Brainavailability-Matrix, showing high brainavailability and efflux are common in modern CNS drugs.

Prediction of Biopharmaceutical Characteristics of PROTACs using the ANDROMEDA by Prosilico Software

The paper uses ANDROMEDA software to predict in vivo dissolution and absorption of PROTACs, showing limited absorption and moderate correlation between in vitro solubility and predicted in vivo dissolution.

Using the ANDROMEDA by Prosilico Software for Prediction of the Human Pharmacokinetics of 4 Compounds of Natural Origin - Colistin, Curucumin, UCN-01 and Voclosporin

The paper evaluates the ANDROMEDA by Prosilico software's ability to predict human pharmacokinetics for four natural compounds, finding mostly accurate predictions with notable errors for UCN-01.

Progesterone specifically dampens disease-associated TH1- and TH17-related immune responses during T cell activation in vitro

This study shows progesterone dampens TH1 and TH17 immune responses in T cells by altering gene and protein expression, with implications for pregnancy-related autoimmune disease modulation.

Alternate models of acute dyslipidemia reveal divergent pathways upon atherosclerosis initiation

This study uses two novel mouse models to show that different pathways lead to atherogenesis, with APOE inhibiting inflammation and CD8 T cells regulating aortic response.