Sabina Smusz - Concepedia

Author

Sabina Smusz

Maj Institute of Pharmacology

Also Known As

S Smusz, Sabina Smusz

Publications

243

Citations

H-Index

Concepts

All Affiliations

Maj Institute of Pharmacology Polish Academy of Sciences Jagiellonian University Medicina

About

Sabina Smusz is an author at Maj Institute of Pharmacology specializing in drug discovery, medicine, and engineering.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	4	4	85
2	Engineering	3	3	68
3	Natural Sciences	1	1	17
4	Biochemistry	1	1	12
5	Biostatistics	1	1	12

Sabina Smusz

Publications

220

Citations

H-Index

Page 1

	Year	Citations
The influence of negative training set size on machine learning-based virtual screening Rafał Kurczab, Sabina Smusz, Andrzej J. Bojarski Journal of Cheminformatics	2014	80
The influence of the inactives subset generation on the performance of machine learning methods Sabina Smusz, Rafał Kurczab, Andrzej J. Bojarski Journal of Cheminformatics	2013	40
A multidimensional analysis of machine learning methods performance in the classification of bioactive compounds Sabina Smusz, Rafał Kurczab, Andrzej J. Bojarski Chemometrics and Intelligent Laboratory Systems EngineeringMachine LearningMachine Learning ToolClassification MethodData Science	2013	33
An application of machine learning methods to structural interaction fingerprints—a case study of kinase inhibitors Jagna Witek, Sabina Smusz, Krzysztof Rataj, Bioorganic & Medicinal Chemistry Letters Molecular ModelingEngineeringInteractomicsHit IdentificationComputational Biology	2013	23
Fingerprint-based consensus virtual screening towards structurally new 5-HT6R ligands Sabina Smusz, Rafał Kurczab, Grzegorz Satała, Bioorganic & Medicinal Chemistry Letters Chemical BiologyHit IdentificationNew 5-Ht6r LigandsMedicineNatural Sciences	2015	17
Multiple conformational states in retrospective virtual screening – homology models vs. crystal structures: beta-2 adrenergic receptor case study Stefan Mordalski, Jagna Witek, Sabina Smusz, Journal of Cheminformatics	2015	15
Multi-Step Protocol for Automatic Evaluation of Docking Results Based on Machine Learning Methods—A Case Study of Serotonin Receptors 5-HT<sub>6</sub> and 5-HT<sub>7</sub> Sabina Smusz, Stefan Mordalski, Jagna Witek, Journal of Chemical Information and Modeling Drug TargetEngineeringStructural Interaction FingerprintsSystems PharmacologyMolecular Pharmacology	2015	12

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