Filip Stefaniak

International Institute of Molecular and Cell Biology — Poland

Biochemistry, Genetics and Molecular Biology · Life Sciences

20h-index2.0kcitations56works13.52yr avg
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Research Topics

RNA and protein synthesis mechanisms(23), Computational Drug Discovery Methods(13), RNA Research and Splicing(10), RNA modifications and cancer(10), Semantic Web and Ontologies(5)

Publications56 total

Low-resolution electron density map of the druggable 5'3WJ of IL-2 RNA
Mendeley Data·2026Open Access
Python implementation of the java SMILES-based compound similarity functions for ligand-based virtual screening
Zenodo (CERN European Organization for Nuclear Research)·2026Open Access
Python implementation of the java SMILES-based compound similarity functions for ligand-based virtual screening
Zenodo (CERN European Organization for Nuclear Research)·2026Open Access
MODOMICS: a database of RNA modifications and related information. 2025 update and 20th anniversary
Nucleic Acids Research·2025· 6 citedOpen Access
Evaluation of single-template ligand-based methods for the discovery of small-molecule nucleic acid binders
Briefings in Bioinformatics·2025Open Access
RNA-Puzzles Round V: blind predictions of 23 RNA structures
Nature Methods·2024· 51 citedOpen Access
SimRNAweb v2.0: a web server for RNA folding simulations and 3D structure modeling, with optional restraints and enhanced analysis of folding trajectories
Nucleic Acids Research·2024· 20 citedOpen Access
DEGRONOPEDIA: a web server for proteome-wide inspection of degrons
Nucleic Acids Research·2024· 31 citedOpen Access
MODOMICS: a database of RNA modifications and related information. 2023 update
Nucleic Acids Research·2023· 356 citedOpen Access
<scp>RNA</scp> tertiary structure prediction in <scp>CASP15</scp> by the <scp>GeneSilico</scp> group: Folding simulations based on statistical potentials and spatial restraints
Proteins Structure Function and Bioinformatics·2023· 10 citedOpen Access
Structural interaction fingerprints and machine learning for predicting and explaining binding of small molecule ligands to RNA
Briefings in Bioinformatics·2023· 23 cited
Structural Interaction Fingerprints and Machine Learning for predicting and explaining binding of small molecule ligands to RNA
2023· 2 citedOpen Access
Structural Interaction Fingerprints and Machine Learning for predicting and explaining binding of small molecule ligands to RNA: a benchmark dataset
2022Open Access
The Unofficial Guide on applying NCN Open Access rules to GitHub repositories.
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
The Unofficial Guide on applying NCN Open Access rules to GitHub repositories.
2022Open Access
The Unofficial Guide on applying NCN Open Access rules to GitHub repositories.
2022Open Access
fingeRNAt—A novel tool for high-throughput analysis of nucleic acid-ligand interactions - supplementary data.
2022Open Access
Structural Interaction Fingerprints and Machine Learning for predicting and explaining binding of small molecule ligands to RNA: a benchmark dataset
Zenodo (CERN European Organization for Nuclear Research)·2022· 2 citedOpen Access
The Unofficial Guide on applying NCN Open Access rules to GitHub repositories.
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
Structural Interaction Fingerprints and Machine Learning for predicting and explaining binding of small molecule ligands to RNA: a benchmark dataset
2022Open Access
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Frequent Co-authors

Janusz M. Bujnicki(27), Natalia A. Szulc(14), Zuzanna Mackiewicz(8), Tomasz Wirecki(7), Elżbieta Purta(6), Barbara Dymek(6), Karolina Dzwonek(6), Maciej Wieczorek(6), Andrea Cappannini(5), Sunandan Mukherjee(5), S Naeim Moafinejad(5), Krzysztof Dubiel(5), Monika Lamparska‐Przybysz(5), Angana Ray(4), Juliusz Pernak(4), M. Boniecki(4), Masoud Amiri Farsani(4), Daria Zdżalik-Bielecka(4), Pietro Boccaletto(3), Małgorzata Kurkowska(3)