User profiles for Krzysztof Rataj

Krzysztof Rataj

Ardigen SA
Verified email at ardigen.com
Cited by 1279

GPCRdb: an information system for G protein-coupled receptors

V Isberg, S Mordalski, C Munk, K Rataj… - Nucleic acids …, 2016 - academic.oup.com
Recent developments in G protein-coupled receptor (GPCR) structural biology and
pharmacology have greatly enhanced our knowledge of receptor structure-function relations, and …

[HTML][HTML] Mol-CycleGAN: a generative model for molecular optimization

Ł Maziarka, A Pocha, J Kaczmarczyk, K Rataj… - Journal of …, 2020 - Springer
Designing a molecule with desired properties is one of the biggest challenges in drug
development, as it requires optimization of chemical compound structures with respect to many …

Molecule attention transformer

Ł Maziarka, T Danel, S Mucha, K Rataj, J Tabor… - arXiv preprint arXiv …, 2020 - arxiv.org
Designing a single neural network architecture that performs competitively across a range of
molecule property prediction tasks remains largely an open challenge, and its solution may …

Salt bridge in ligand–protein complexes—systematic theoretical and statistical investigations

R Kurczab, P Śliwa, K Rataj, R Kafel… - Journal of Chemical …, 2018 - ACS Publications
Although the salt bridge is the strongest among all known noncovalent molecular
interactions, no comprehensive studies have been conducted to date to examine its role and …

JUMP Cell Painting dataset: morphological impact of 136,000 chemical and genetic perturbations

…, PJ Peeters, J Pilling, S Prechtl, C Qian, K Rataj… - Biorxiv, 2023 - biorxiv.org
Image-based profiling has emerged as a powerful technology for various steps in basic
biological and pharmaceutical discovery, but the community has lacked a large, public reference …

GPCRdb: an information system for G protein-coupled receptors

V Isberg, S Mordalski, C Munk, K Rataj… - Nucleic Acids …, 2017 - academic.oup.com
“This article is based upon work from Action GLISTEN (www. glisten-gpcr. eu), supported by
COST (European Cooperation in Science and Technology, www. cost. eu), which is …

Impact of template choice on homology model efficiency in virtual screening

K Rataj, J Witek, S Mordalski, T Kosciolek… - Journal of chemical …, 2014 - ACS Publications
Homology modeling is a reliable method of predicting the three-dimensional structures of
proteins that lack NMR or X-ray crystallographic data. It employs the assumption that a …

From Homology Models to a Set of Predictive Binding Pockets–a 5-HT1A Receptor Case Study

…, K Kristiansen, G Satała, K Rataj… - Journal of chemical …, 2017 - ACS Publications
Despite its remarkable importance in the arena of drug design, serotonin 1A receptor (5-HT
1A ) has been elusive to the X-ray crystallography community. This lack of direct structural …

[HTML][HTML] Fingerprint-Based Machine Learning Approach to Identify Potent and Selective 5-HT2BR Ligands

K Rataj, ÁA Kelemen, J Brea, MI Loza, AJ Bojarski… - Molecules, 2018 - mdpi.com
The identification of subtype-selective GPCR (G-protein coupled receptor) ligands is a
challenging task. In this study, we developed a computational protocol to find compounds with 5-…

An application of machine learning methods to structural interaction fingerprints—a case study of kinase inhibitors

J Witek, S Smusz, K Rataj, S Mordalski… - Bioorganic & medicinal …, 2014 - Elsevier
In this Letter, we present a novel methodology of searching for biologically active compounds,
which is based on the combination of docking experiments and analysis of the results by …