Rafal Kurczab

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 7

Top Topics

Capsule Endoscopy

Physicochemical Properties

Training Set Size

Top Venues

J. Chem. Inf. Model.

J. Cheminformatics

Publications

Arkadiusz Leniak, Wojciech Pietrus, Rafal Kurczab
From NMR to AI: Designing a Novel Chemical Representation to Enhance Machine Learning Predictions of Physicochemical Properties. J. Chem. Inf. Model. 64 (8) (2024)
Maciej Wolczyk, Magdalena Proszewska, Lukasz Maziarka, Maciej Zieba, Patryk Wielopolski, Rafal Kurczab, Marek Smieja
PluGeN: Multi-Label Conditional Generation from Pre-trained Models. AAAI (2022)
Dawid Warszycki, Lukasz Struski, Marek Smieja, Rafal Kafel, Rafal Kurczab
Pharmacoprint - a combination of pharmacophore fingerprint and artificial intelligence as a tool for computer-aided drug design. CoRR (2021)
Stefan Mordalski, Agnieszka Wojtuch, Igor T. Podolak, Rafal Kurczab, Andrzej J. Bojarski
2D SIFt: a matrix of ligand-receptor interactions. J. Cheminformatics 13 (1) (2021)
Dawid Warszycki, Lukasz Struski, Marek Smieja, Rafal Kafel, Rafal Kurczab
Pharmacoprint: A Combination of a Pharmacophore Fingerprint and Artificial Intelligence as a Tool for Computer-Aided Drug Design. J. Chem. Inf. Model. 61 (10) (2021)
Maciej Wolczyk, Magdalena Proszewska, Lukasz Maziarka, Maciej Zieba, Patryk Wielopolski, Rafal Kurczab, Marek Smieja
PluGeN: Multi-Label Conditional Generation From Pre-Trained Models. CoRR (2021)
Rafal Kurczab, Pawel Sliwa, Krzysztof Rataj, Rafal Kafel, Andrzej J. Bojarski
Salt Bridge in Ligand-Protein Complexes - Systematic Theoretical and Statistical Investigations. J. Chem. Inf. Model. 58 (11) (2018)
Mari Gabrielsen, Rafal Kurczab, Agata Siwek, Malgorzata Wolak, Aina Westrheim Ravna, Kurt Kristiansen, Irina Kufareva, Ruben Abagyan, Gabriel Nowak, Zdzislaw Chilmonczyk, Ingebrigt Sylte, Andrzej J. Bojarski
Identification of Novel Serotonin Transporter Compounds by Virtual Screening. J. Chem. Inf. Model. 54 (3) (2014)
Rafal Kurczab, Sabina Smusz, Andrzej J. Bojarski
The influence of negative training set size on machine learning-based virtual screening. J. Cheminformatics 6 (1) (2014)
Sabina Smusz, Rafal Kurczab, Andrzej J. Bojarski
The influence of hashed fingerprints density on the machine learning methods performance. J. Cheminformatics 5 (S-1) (2013)
Rafal Kurczab, Andrzej J. Bojarski
Receptor Ligands. J. Chem. Inf. Model. 53 (12) (2013)
Rafal Kurczab, Sabina Smusz, Andrzej J. Bojarski
The influence of training actives/inactives ratio on machine learning performance. J. Cheminformatics 5 (S-1) (2013)
Sabina Smusz, Rafal Kurczab, Andrzej J. Bojarski
The influence of the inactives subset generation on the performance of machine learning methods. J. Cheminformatics 5 (2013)
Rafal Kurczab, Sabina Smusz, Andrzej J. Bojarski
Evaluation of different machine learning methods for ligand-based virtual screening. J. Cheminformatics 3 (S-1) (2011)