S. Polak

发表

Early assessment of proarrhythmic risk of drugs using the in vitro data and single-cell-based in silico models: proof of concept

Mitra Abbasi, B. Small, N. Patel, 2017, Toxicology mechanisms and methods.

Collation, assessment and analysis of literature in vitro data on hERG receptor blocking potency for subsequent modeling of drugs' cardiotoxic properties

S. Polak, B. Wiśniowska, J. Brandys, 2009, Journal of applied toxicology : JAT.

Computer-based prediction of the drug proarrhythmic effect: problems, issues, known and suspected challenges.

S. Polak, K. Fijorek, A. Mendyk, 2014, Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology.

Am I or am I not proarrhythmic? Comparison of various classifications of drug TdP propensity.

S. Polak, B. Wiśniowska, 2017, Drug discovery today.

Physiologically based pharmacokinetic modelling to guide drug delivery in older people

S. Polak, A. Rostami-Hodjegan, T. Johnson, 2018, Advanced drug delivery reviews.

Mechanistic Physiologically Based Pharmacokinetic (PBPK) Model of the Heart Accounting for Inter-Individual Variability: Development and Performance Verification.

S. Polak, A. Mendyk, Zofia Tylutki, 2017, Journal of pharmaceutical sciences.

Physiologically Based Pharmacokinetic Modeling of Transdermal Selegiline and Its Metabolites for the Evaluation of Disposition Differences between Healthy and Special Populations

S. Polak, S. Arora, N. Patel, 2020, Pharmaceutics.

A four-compartment PBPK heart model accounting for cardiac metabolism - model development and application

Sebastian Polak, Zofia Tylutki, S. Polak, 2017, Scientific reports.

In vitro-in vivo extrapolation of drug-induced proarrhythmia predictions at the population level.

S. Polak, K. Fijorek, A. Mendyk, 2014, Drug discovery today.

Combining an in silico proarrhythmic risk assay with a tPKPD model to predict QTc interval prolongation in the anesthetized guinea pig assay

S. Polak, B. Rodríguez, C. Regan, 2020, Toxicology and applied pharmacology.

Enhanced QSAR models for drug‐triggered inhibition of the main cardiac ion currents

S. Polak, J. Szlęk, A. Mendyk, 2015, Journal of applied toxicology : JAT.

Predictive model for L‐type channel inhibition: multichannel block in QT prolongation risk assessment

S. Polak, K. Fijorek, A. Mendyk, 2012, Journal of applied toxicology : JAT.

Development of In Vitro-In Vivo Correlation/Relationship Modeling Approaches for Immediate Release Formulations Using Compartmental Dynamic Dissolution Data from “Golem”: A Novel Apparatus

R. Jachowicz, S. Polak, A. Mendyk, 2015, BioMed research international.

KinetDS: An Open Source Software for Dissolution Test Data Analysis

P. Kulinowski, P. Dorożyński, R. Jachowicz, 2012 .

Virtual population generator for human cardiomyocytes parameters: in silico drug cardiotoxicity assessment

S. Polak, K. Fijorek, A. Mendyk, 2012, Toxicology mechanisms and methods.

hERG in vitro interchange factors—development and verification

S. Polak, B. Wiśniowska, 2009, Toxicology mechanisms and methods.

Slow delayed rectifying potassium current (IKs) – analysis of the in vitro inhibition data and predictive model development

S. Polak, K. Fijorek, A. Mendyk, 2013, Journal of applied toxicology : JAT.

Drug–physiology interaction and its influence on the QT prolongation-mechanistic modeling study

S. Polak, B. Wiśniowska, 2018, Journal of Pharmacokinetics and Pharmacodynamics.

Model of the Distribution of Diastolic Left Ventricular Posterior Wall Thickness in Healthy Adults and Its Impact on the Behavior of a String of Virtual Cardiomyocytes

S. Polak, K. Stolarz-Skrzypek, K. Kawecka-Jaszcz, 2014, Journal of Cardiovascular Translational Research.

Analysis of non-hospital antibacterial pharmacotherapy in Poland.

S. Polak, A. Skowron, J. Brandys, 2008, International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases.

Quantitative approach for cardiac risk assessment and interpretation in tuberculosis drug development

N. Patel, M. Jamei, S. Polak, 2018, Journal of Pharmacokinetics and Pharmacodynamics.

Towards Bridging Translational Gap in Cardiotoxicity Prediction: an Application of Progressive Cardiac Risk Assessment Strategy in TdP Risk Assessment of Moxifloxacin

N. Patel, S. Polak, K. Romero, 2018, The AAPS Journal.

Selective laser sintering (SLS) technique for pharmaceutical applications—Development of high dose controlled release printlets

P. Kulinowski, P. Dorożyński, S. Polak, 2020 .

Characterization of In Vitro and In Vivo Metabolism of Antazoline Using Liquid Chromatography-Tandem Mass Spectrometry

S. Polak, P. Kułakowski, B. Wiśniowska, 2020, International journal of molecular sciences.

Population-Based Mechanistic Prediction of Oral Drug Absorption

Sebastian Polak, Masoud Jamei, Amin Rostami-Hodjegan, 2009, The AAPS Journal.

Quality Control Dissolution Data Is Biopredictive for a Modified Release Ropinirole Formulation: Virtual Experiment with the Use of Re-Developed and Verified PBPK Model

P. Kulinowski, P. Dorożyński, S. Polak, 2022, Pharmaceutics.

Prediction of the in vivo behaviour of modified release formulations of metoprolol from in vitro dissolution profiles using the ADAM model (Simcyp V8)

M. Jamei, S. Polak, G. Tucker, 2008 .

From in vitro-in vivo relationship (IVIVR) towards in vitro-in vivo extrapolation (IVIVE): A case study of pulmonary delivery systems

R. Jachowicz, S. Polak, A. Mendyk, 2017 .

Inter-individual Variability in the Pre-clinical Drug Cardiotoxic Safety Assessment—Analysis of the Age–Cardiomyocytes Electric Capacitance Dependence

Sebastian Polak, S. Polak, K. Fijorek, 2012, Journal of Cardiovascular Translational Research.

Thorough QT (TQT) studies: concordance with torsadogenesis and an evolving cardiac safety testing paradigm.

S. Polak, B. Wiśniowska, Zofia Tylutki, 2017, Drug discovery today.

In Vitro/In Vivo Translation of Synergistic Combination of MDM2 and MEK Inhibitors in Melanoma Using PBPK/PD Modelling: Part II

S. Polak, Z. Rogulski, J. Witkowski, 2022, International journal of molecular sciences.

Utilization of mechanistic modelling and simulation to analyse fenspiride proarrhythmic potency – Role of physiological and other non‐drug related parameters

S. Polak, C. Pollard, M. Holbrook, 2020, Journal of clinical pharmacy and therapeutics.

Utilizing postmortem drug concentrations in mechanistic modeling and simulation of cardiac effects: a proof of concept study with methadone

S. Polak, J. Hasselstrøm, J. Jornil, 2018, Toxicology mechanisms and methods.

Multi‐phase multi‐layer mechanistic dermal absorption (MPML MechDermA) model to predict local and systemic exposure of drug products applied on skin

N. Patel, M. Jamei, S. Polak, 2022, CPT: pharmacometrics & systems pharmacology.

Physiologically based pharmacokinetic-quantitative systems toxicology and safety (PBPK-QSTS) modeling approach applied to predict the variability of amitriptyline pharmacokinetics and cardiac safety in populations and in individuals

S. Polak, A. Mendyk, Zofia Tylutki, 2018, Journal of Pharmacokinetics and Pharmacodynamics.

In Vitro/In Vivo Translation of Synergistic Combination of MDM2 and MEK Inhibitors in Melanoma Using PBPK/PD Modelling: Part I

S. Polak, Z. Rogulski, J. Witkowski, 2022, International journal of molecular sciences.

What it takes to understand and cure a living system: computational systems biology and a systems biology-driven pharmacokinetics–pharmacodynamics platform

Maciej Swat, Szymon M Kiełbasa, Sebastian Polak, 2011, Interface Focus.

Prediction of concentration-time profile and its inter-individual variability following the dermal drug absorption.

Sebastian Polak, Masoud Jamei, Malidi Ahamadi, 2012, Journal of pharmaceutical sciences.

Drug interaction at hERG channel: In vitro assessment of the electrophysiological consequences of drug combinations and comparison against theoretical models

Sebastian Polak, Barbara Wiśniowska, Bartosz Lisowski, 2018, Journal of applied toxicology : JAT.

Drug-drug interactions and QT prolongation as a commonly assessed cardiac effect - comprehensive overview of clinical trials

S. Polak, B. Wiśniowska, Zofia Tylutki, 2016, BMC Pharmacology and Toxicology.

Mechanistic Modeling of In Vitro Skin Permeation and Extrapolation to In Vivo for Topically Applied Metronidazole Drug Products Using a Physiologically Based Pharmacokinetic Model.

M. Jamei, S. Polak, S. Arora, 2022, Molecular pharmaceutics.

Optimizing drug discovery by Investigative Toxicology: Current and future trends.

Uwe Marx, Scott Boyer, Mardas Daneshian, 2018, ALTEX.

In Vitro/In Vivo Translation of Synergistic Combination of MDM2 and MEK Inhibitors in Melanoma Using PBPK/PD Modelling: Part III

S. Polak, Z. Rogulski, J. Witkowski, 2023, International journal of molecular sciences.

Towards Bridging Translational Gap in Cardiotoxicity Prediction: an Application of Progressive Cardiac Risk Assessment Strategy in TdP Risk Assessment of Moxifloxacin

N. Patel, S. Polak, K. Romero, 2018, The AAPS Journal.

Plasma vs heart tissue concentration in humans - literature data analysis of drugs distribution.

Sebastian Polak, Zofia Tylutki, S. Polak, 2015, Biopharmaceutics & drug disposition.

In Vitro-In Vivo Correlation (IVIVC): From Current Achievements Towards the Future

R. Jachowicz, S. Polak, J. Szlęk, 2018 .

Generalized in vitro-in vivo relationship (IVIVR) model based on artificial neural networks

Sebastian Polak, Renata Jachowicz, Aleksander Mendyk, 2013, Drug design, development and therapy.

Quantitative prediction of formulation-specific food effects and their population variability from in vitro data with the physiologically-based ADAM model: a case study using the BCS/BDDCS Class II drug nifedipine.

Sebastian Polak, Masoud Jamei, David B Turner, 2014, European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences.

Tox-Database.net: a curated resource for data describing chemical triggered in vitro cardiac ion channels inhibition

S. Polak, B. Wiśniowska, A. Glinka, 2012, BMC Pharmacology and Toxicology.

Development and Performance Verification of the PBPK Model for Antazoline and Its Metabolite and Its Utilization for Pharmacological Hypotheses Formulating

S. Polak, P. Kułakowski, B. Wiśniowska, 2022, Pharmaceuticals.

Magnetic Core–Shell Molecularly Imprinted Nano-Conjugates for Extraction of Antazoline and Hydroxyantazoline from Human Plasma—Material Characterization, Theoretical Analysis and Pharmacokinetics

S. Polak, P. Luliński, M. Sobiech, 2021, International journal of molecular sciences.

Serum potassium, sodium and calcium levels in healthy individuals - literature review and data analysis.

S. Polak, Mirosława Püsküllüoğlu, K. Fijorek, 2014, Folia medica Cracoviensia.

Real Patient and its Virtual Twin: Application of Quantitative Systems Toxicology Modelling in the Cardiac Safety Assessment of Citalopram

N. Patel, M. Jamei, S. Polak, 2017, The AAPS Journal.

Virtual Thorough QT (TQT) Trial—Extrapolation of In Vitro Cardiac Safety Data to In Vivo Situation Using Multi-Scale Physiologically Based Ventricular Cell-wall Model Exemplified with Tolterodine and Fesoterodine

N. Patel, S. Polak, B. Wiśniowska, 2018, The AAPS Journal.

Virtual Clinical Trial Toward Polytherapy Safety Assessment: Combination of Physiologically Based Pharmacokinetic/Pharmacodynamic-Based Modeling and Simulation Approach With Drug-Drug Interactions Involving Terfenadine as an Example.

S. Polak, B. Wiśniowska, 2016, Journal of pharmaceutical sciences.

The Role of Interaction Model in Simulation of Drug Interactions and QT Prolongation

Sebastian Polak, Barbara Wiśniowska, S. Polak, 2016, Current Pharmacology Reports.

Drug-drug interactions and QT prolongation as a commonly assessed cardiac effect - comprehensive overview of clinical trials

S. Polak, B. Wiśniowska, Zofia Tylutki, 2016, BMC Pharmacology and Toxicology.

Circadian Models of Serum Potassium, Sodium, and Calcium Concentrations in Healthy Individuals and Their Application to Cardiac Electrophysiology Simulations at Individual Level

Kamil Fijorek, Miroslawa Puskulluoglu, Sebastian Polak, 2013, Comput. Math. Methods Medicine.

Age and gender dependent heart rate circadian model development and performance verification on the proarrhythmic drug case study

N. Patel, S. Polak, K. Stolarz-Skrzypek, 2013, Theoretical Biology and Medical Modelling.

Quantitative Assessment of the Physiological Parameters Influencing QT Interval Response to Medication: Application of Computational Intelligence Tools

Sebastian Polak, Aleksander Mendyk, Jakub Szlek, 2018, Comput. Math. Methods Medicine.

The effect of increasing amitriptyline doses on cardiomyocytes’ electrophysiology – simulation study

Sebastian Polak, Zofia Tylutki, Jakob Jornil, 2016, Bio Algorithms Med Syst..

In silico assessment of antiarrhythmic effects of drug ranolazine on electrical activity in human ventricular myocardium

Sebastian Polak, Mitra Abbasi, Mitra Abbasi, 2016, 2016 Computing in Cardiology Conference (CinC).

Humans Vary, So Cardiac Models Should Account for That Too!

Barbara Wiśniowska, Sebastian Polak, Zofia Tylutki, 2017, Front. Physiol..

From Heuristic to Mathematical Modeling of Drugs Dissolution Profiles: Application of Artificial Neural Networks and Genetic Programming

Sebastian Polak, Renata Jachowicz, Peter Kleinebudde, 2015, Comput. Math. Methods Medicine.

Data on ADME parameters of bisphenol A and its metabolites for use in physiologically based pharmacokinetic modelling.

S. Polak, A. Luch, Z. Bielecka, 2023, Data in brief.

Artificial intelligence technology as a tool for initial GDM screening

Aleksander Mendyk, Sebastian Polak, S. Polak, 2004, Expert Syst. Appl..

Evolutionary Algorithms in Modeling Aerodynamic Properties of Spray-Dried Microparticulate Systems

R. Jachowicz, S. Polak, Adam Pacławski, 2020, Applied Sciences.

The impact of pharmaceutical care on patients with hypertension and their pharmacists

S. Polak, A. Skowron, J. Brandys, 2011, Pharmacy practice.

Assessment of inter-individual variability in predicted phenytoin clearance

Sebastian Polak, John O. Miners, Amin Rostami-Hodjegan, 2009, European Journal of Clinical Pharmacology.

Artificial Intelligence That Predicts Sensitizing Potential of Cosmetic Ingredients with Accuracy Comparable to Animal and In Vitro Tests—How Does the Infotechnomics Compare to Other “Omics” in the Cosmetics Safety Assessment?

S. Polak, B. Wiśniowska, R. Spiewak, 2023, International journal of molecular sciences.

Mechanistic modeling of drug products applied to the skin: A workshop summary report

S. Polak, S. Arora, E. Tsakalozou, 2022, CPT: pharmacometrics & systems pharmacology.

Modelling and Simulation Approaches to Support Formulation Optimization, Clinical Development and Regulatory Assessment of the Topically Applied Formulations- Nimesulide Solution Gel Case Study.

S. Polak, Naresh Mittapelly, 2022, European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V.

Development of physiologically based pharmacokinetic model for the immediate release ropinirole tablets

P. Kulinowski, P. Dorożyński, S. Polak, 2021, Acta Poloniae Pharmaceutica - Drug Research.

Report on the Virtual Workshop: A Quest for Biowaiver, Including Next Generation Dissolution Characterization and Modeling

Andreas M. Abend, P. Dorożyński, S. Polak, 2023, Dissolution Technologies.

Comment on "In Silico Modeling of Gastrointestinal Drug Absorption: Predictive Performance of Three Physiologically-Based Absorption Models".

N. Patel, M. Jamei, S. Polak, 2017, Molecular pharmaceutics.

Artificial neural networks based modeling for pharmacoeconomics application

Sebastian Polak, Aleksander Mendyk, Agnieszka Skowron, 2008, Appl. Math. Comput..

BDTcomparator: a program for comparing binary classifiers

Kamil Fijorek, Sebastian Polak, Barbara Wisniowska, 2011, Bioinform..

The open-access dataset for insilico cardiotoxicity prediction system

S. Polak, K. Fijorek, A. Mendyk, 2011, Bioinformation.

Prediction of the hERG potassium channel inhibition potential with use of artificial neural networks

Sebastian Polak, Aleksander Mendyk, Barbara Wisniowska, 2011, Appl. Soft Comput..

Top-down, Bottom-up and Middle-out Strategies for Drug Cardiac Safety Assessment via Modeling and Simulations

S. Polak, B. Wiśniowska, Zofia Tylutki, 2016, Current Pharmacology Reports.

QTc modification after risperidone administration – insight into the mechanism of action with use of the modeling and simulation at the population level approach

S. Polak, A. Glinka, 2015, Toxicology mechanisms and methods.

Interaction Between Domperidone and Ketoconazole: Toward Prediction of Consequent QTc Prolongation Using Purely In Vitro Information

M. Jamei, S. Polak, A. Rostami-Hodjegan, 2014, CPT: pharmacometrics & systems pharmacology.

The effects of six antipsychotic agents on QTc - An attempt to mimic clinical trial through simulation including variability in the population

Sebastian Polak, Anna Glinka, S. Polak, 2014, Comput. Biol. Medicine.

In vitro to human in vivo translation - pharmacokinetics and pharmacodynamics of quinidine.

S. Polak, 2013, ALTEX.

How circadian variability of the heart rate and plasma electrolytes concentration influence the cardiac electrophysiology – model-based case study

S. Polak, B. Wiśniowska, Zofia M Bielecka, 2021, Journal of Pharmacokinetics and Pharmacodynamics.

Early Drug Discovery Prediction of Proarrhythmia Potential and Its Covariates

S. Polak, N. Stockbridge, C. Garnett, 2015, The AAPS Journal.

CardiacPBPK: A tool for the prediction and visualization of time-concentration profiles of drugs in heart tissue

Sebastian Polak, Zofia Tylutki, Jakub Szlęk, 2019, Comput. Biol. Medicine.

Better prediction of the local concentration-effect relationship: the role of physiologically based pharmacokinetics and quantitative systems pharmacology and toxicology in the evolution of model-informed drug discovery and development.

Sebastian Polak, Barbara Wiśniowska, Zofia Tylutki, 2019, Drug discovery today.

In Vitro/In Vivo Translation of Synergistic Combination of MDM2 and MEK Inhibitors in Melanoma Using PBPK/PD Modelling: Part I

S. Polak, Z. Rogulski, J. Witkowski, 2022, International journal of molecular sciences.

An open-access data set of pig skin anatomy and physiology for modelling purposes

S. Polak, B. Wiśniowska, Laura Krumpholz, 2022, Database J. Biol. Databases Curation.

In Vitro/In Vivo Translation of Synergistic Combination of MDM2 and MEK Inhibitors in Melanoma Using PBPK/PD Modelling: Part III

S. Polak, Z. Rogulski, J. Witkowski, 2023, International journal of molecular sciences.

Correction to: Open-access database of literature derived drug-related Torsade de Pointes cases

S. Polak, B. Wiśniowska, Laura Krumpholz, 2022, BMC pharmacology & toxicology.

Optimizing drug discovery by Investigative Toxicology: Current and future trends.

Joshua D. Kangas, Rex E FitzGerald, S. Polak, 2018, ALTEX.

A Rational Approach to Predicting Immediate Release Formulation Behavior in Multiple Gastric Motility Patterns: A Combination of a Biorelevant Apparatus, Design of Experiments, and Machine Learning

S. Polak, G. Garbacz, J. Dobosz, 2023, Pharmaceutics.

Top-down, Bottom-up and Middle-out Strategies for Drug Cardiac Safety Assessment via Modeling and Simulations

Sebastian Polak, Barbara Wiśniowska, Zofia Tylutki, 2016, Current Pharmacology Reports.

Age and gender dependent heart rate circadian model development and performance verification on the proarrhythmic drug case study

N. Patel, S. Polak, K. Stolarz-Skrzypek, 2013, Theoretical Biology and Medical Modelling.

Artificial neural networks based Internet hypertension prediction tool development and validation

Sebastian Polak, Aleksander Mendyk, S. Polak, 2008, Appl. Soft Comput..

In silico assessment of nifedipine effects on human heart cells: Pharmacokinetic-pharmacodynamic analyses at the population level

Sebastian Polak, Mitra Abbasi, Mitra Abbasi, 2017, 2017 Computing in Cardiology (CinC).

Neural System for in silico Drug-Drug Interaction Screening

Sebastian Polak, Aleksander Mendyk, Jerzy Brandys, 2005, International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06).

Quantitative prediction of circadian variation in pharmacokinetics: Dependence on route of administration in the case of BCS/BDDCS Class II and CYP3A4 substrate drug Nifedipine

N. Patel, M. Jamei, S. Polak, 2013 .