Jakub Szlęk

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 14

Top Topics

Machine Learning

Health Insurance

Subarachnoid Hemorrhage

Top Venues

Journal of chemical information and modeling

Computational and mathematical methods in medicine

Molecular pharmaceutics

This page only lists publications with an associated author ORCID identifier.

Publications

Natalia Łapińska, Adam Pacławski, Jakub Szlęk, Aleksander Mendyk
SerotoninAI: Serotonergic System Focused, Artificial Intelligence-Based Application for Drug Discovery. Journal of chemical information and modeling 64 (7) (2024)
Natalia Łapińska, Adam Pacławski, Jakub Szlęk, Aleksander Mendyk
SerotoninAI: Serotonergic System Focused, Artificial Intelligence-Based Application for Drug Discovery. Journal of chemical information and modeling 64 (7) (2024)
Natalia Łapińska, Adam Pacławski, Jakub Szlęk, Aleksander Mendyk
SerotoninAI: Serotonergic System Focused, Artificial Intelligence-Based Application for Drug Discovery. Journal of chemical information and modeling 64 (7) (2024)
Natalia Łapińska, Adam Pacławski, Jakub Szlęk, Aleksander Mendyk
SerotoninAI: Serotonergic System Focused, Artificial Intelligence-Based Application for Drug Discovery. Journal of chemical information and modeling 64 (7) (2024)
Natalia Łapińska, Adam Pacławski, Jakub Szlęk, Aleksander Mendyk
SerotoninAI: Serotonergic System Focused, Artificial Intelligence-Based Application for Drug Discovery. Journal of chemical information and modeling 64 (7) (2024)
Natalia Łapińska, Adam Pacławski, Jakub Szlęk, Aleksander Mendyk
SerotoninAI: Serotonergic System Focused, Artificial Intelligence-Based Application for Drug Discovery. Journal of chemical information and modeling 64 (7) (2024)
Natalia Łapińska, Adam Pacławski, Jakub Szlęk, Aleksander Mendyk
Integrated QSAR Models for Prediction of Serotonergic Activity: Machine Learning Unveiling Activity and Selectivity Patterns of Molecular Descriptors. Pharmaceutics 16 (3) (2024)
Natalia Łapińska, Adam Pacławski, Jakub Szlęk, Aleksander Mendyk
Integrated QSAR Models for Prediction of Serotonergic Activity: Machine Learning Unveiling Activity and Selectivity Patterns of Molecular Descriptors. Pharmaceutics 16 (3) (2024)
Natalia Łapińska, Adam Pacławski, Jakub Szlęk, Aleksander Mendyk
Integrated QSAR Models for Prediction of Serotonergic Activity: Machine Learning Unveiling Activity and Selectivity Patterns of Molecular Descriptors. Pharmaceutics 16 (3) (2024)
Natalia Łapińska, Adam Pacławski, Jakub Szlęk, Aleksander Mendyk
SerotoninAI: Serotonergic System Focused, Artificial Intelligence-Based Application for Drug Discovery. Journal of chemical information and modeling (2024)
Natalia Łapińska, Jakub Szlęk, Adam Pacławski, Klaudia Klimończyk, Matteo Puccetti, Aleksander Mendyk
Artificial Intelligence-Based Quantitative Structure-Property Relationship Model for Predicting Human Intestinal Absorption of Compounds with Serotonergic Activity. Molecular pharmaceutics (2023)
Jakub Szlęk, Mohammad Hassan Khalid, Adam Pacławski, Natalia Czub, Aleksander Mendyk
Puzzle out Machine Learning Model-Explaining Disintegration Process in ODTs. Pharmaceutics 14 (4) (2022)
Natalia Łapińska, Adam Pacławski, Jakub Szlęk, Aleksander Mendyk
Do AutoML-Based QSAR Models Fulfill OECD Principles for Regulatory Assessment? A 5-HT 1A Receptor Case. Pharmaceutics 14 (7) (2022)
Sebastian Polak, Barbara Wiśniowska, Aleksander Mendyk, Adam Pacławski, Jakub Szlęk
Quantitative Assessment of the Physiological Parameters Influencing QT Interval Response to Medication: Application of Computational Intelligence Tools. Computational and mathematical methods in medicine 2018 (2018)