Navigating pharmacophore space to identify activity discontinuities: A case study with BCR-ABL Maroua Lejmi, Damien Geslin, Ronan Bureau, Bertrand Cuissart, Ilef Ben Slima, et al. Molecular Informatics, 2024 The exploration of chemical space is a fundamental aspect of chemoinformatics, particularly when one explores a large compound data set to relate chemical structures with molecular properties. In this study, we extend our previous work on chemical space visualization at the pharmacophoric level. Instead of using conventional binary classification of affinity (active vs inactive), we introduce a refined approach that categorizes compounds into four distinct classes based on their activity levels: super active, very active, active, and inactive. This classification enriches the color scheme applied to pharmacophore space, where the color representation of a pharmacophore hypothesis is driven by the associated compounds. Using the BCR‐ABL tyrosine kinase as a case study, we identified intriguing regions corresponding to pharmacophore activity discontinuities, providing valuable insights for structure‐activity relationships analysis.
Features’ associations in fuzzy ensemble classifiers Ilef Ben Slima, Amel Borgi Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2018
Regrouping attributes by association rules in fuzzy inference systems Revue Des Nouvelles Technologies De L Information, 2015
RECENT SCHOLAR PUBLICATIONS
Generating Local Rules in Fuzzy Rule-Based Classification Systems M Lejmi, B Cuissart, IB Slima, N Meddouri, JL Lamotte, A Borgi International Conference on Computational Science and Its Applications, 150-165 , 2025 2025.0
CNN-Trans: A Two-Branch CNN Transformer Model for Multivariate Time Series Classification. S Hassine, S Ammar, IB Slima ICAART (2), 418-428 , 2025 2025.0 Citations: 4
Clustering and Association Rules Mining for Coral Reef Fish Distribution: A Data-Driven Approach in the Mediterranean Sea I Ben Slima, A Borgi, F Sellem International Conference on Management of Digital, 426-435 , 2024 2024.0
Navigating pharmacophore space to identify activity discontinuities: A case study with BCR‐ABL M Lejmi, D Geslin, R Bureau, B Cuissart, I Ben Slima, N Meddouri, A Borgi, ... Molecular Informatics 43 (8), e202400050 , 2024 2024.0 Citations: 3
P17-Refinement of a ligand activity and representation of topological pharmacophores in a colored network M Lejmi, D Geslin, B Cuissart, IB Slima, N Meddouri, R Bureau, ... 11emes Journées de la Société Française de Chémoinformatique, 65 , 2023 2023.0
COVID-19 pandemic’s effect on the mental health among the Tunisian general population: Associated factors mining via machine learning IB Slima, S Ammar, M Turki, W Bouattour, J Aloulou Scientific African 21, e01804 , 2023 2023.0 Citations: 2
Clustering en chémoinformatique pour le raffinement de l'activité des molécules M Lejmi, IB Slima, B Cuissart, N Meddouri, R Bureau, A Lepailleur, ... Proceedings of the second Computer Science UTM PhD Symposium, 51-55 , 2023 2023.0
Possibilistic rank-level fusion method for person re-identification I Ben Slima, S Ammar, M Ghorbel Neural Computing and Applications 34 (17), 14151-14168 , 2022 2022.0 Citations: 5
PCMCR: A novel conflict resolution strategy based on possibility theory for human activity recognition IB Slima, A Jarraya, S Ammar, A Borgi Procedia Computer Science 207, 926-935 , 2022 2022.0 Citations: 3
Attributes regrouping by genetic algorithm in fuzzy inference systems M Lejmi, IB Slima, A Borgi Procedia Computer Science 207, 1037-1046 , 2022 2022.0 Citations: 2
Scientific African A Raimi, A Roopnarain, R Adeleke 2021.0
Possibilistic classifier combination for person re-identification I Ben Slima, S Ammar, M Ghorbel, Y Kessentini Mediterranean Conference on Pattern Recognition and Artificial Intelligence … , 2020 2020.0 Citations: 2
Apprentissage par Regroupement d'Attributs dans les Systèmes d'Inférence Floue IB Slima Université de Tunis El Manar , 2019 2019.0 Citations: 1
Apprentissage par Regroupement d'Attributs dans les Systèmes d'Inférence Floue.(Regrouping Attributes in Fuzzy Inference Systems). IB Slima Tunis El Manar University, Tunisia , 2019 2019.0
Supervised methods for regrouping attributes in fuzzy rule-based classification systems: I. Ben Slima, A. Borgi I Ben Slima, A Borgi Applied Intelligence 48 (12), 4577-4593 , 2018 2018.0 Citations: 9
Features’ associations in fuzzy ensemble classifiers I Ben Slima, A Borgi International conference on database and expert systems applications, 369-377 , 2018 2018.0 Citations: 3
Attributes regrouping by association rules in SUCRAGE R Zaatour, A Borgi, IB Slima 2016 11th International Conference on Intelligent Systems: Theories and … , 2016 2016.0
Attributes regrouping by association rules in the fuzzy inference systems AB Ilef Ben Slima EGC 2015 Luxembourg, 317-328 , 2015 2015.0 Citations: 4
Regroupement d'attributs par règles d'association dans les systèmes d'inférence floue. IB Slima, A Borgi, T LR11ES14 LIPAH EGC, 317-328 , 2015 2015.0 Citations: 2
Scientific African IB Slima, S Ammar, M Turki, W Bouattour, J Aloulou
MOST CITED SCHOLAR PUBLICATIONS
Supervised methods for regrouping attributes in fuzzy rule-based classification systems: I. Ben Slima, A. Borgi I Ben Slima, A Borgi Applied Intelligence 48 (12), 4577-4593 , 2018 2018.0 Citations: 9
Possibilistic rank-level fusion method for person re-identification I Ben Slima, S Ammar, M Ghorbel Neural Computing and Applications 34 (17), 14151-14168 , 2022 2022.0 Citations: 5
CNN-Trans: A Two-Branch CNN Transformer Model for Multivariate Time Series Classification. S Hassine, S Ammar, IB Slima ICAART (2), 418-428 , 2025 2025.0 Citations: 4
Attributes regrouping by association rules in the fuzzy inference systems AB Ilef Ben Slima EGC 2015 Luxembourg, 317-328 , 2015 2015.0 Citations: 4
Navigating pharmacophore space to identify activity discontinuities: A case study with BCR‐ABL M Lejmi, D Geslin, R Bureau, B Cuissart, I Ben Slima, N Meddouri, A Borgi, ... Molecular Informatics 43 (8), e202400050 , 2024 2024.0 Citations: 3
PCMCR: A novel conflict resolution strategy based on possibility theory for human activity recognition IB Slima, A Jarraya, S Ammar, A Borgi Procedia Computer Science 207, 926-935 , 2022 2022.0 Citations: 3
Features’ associations in fuzzy ensemble classifiers I Ben Slima, A Borgi International conference on database and expert systems applications, 369-377 , 2018 2018.0 Citations: 3
COVID-19 pandemic’s effect on the mental health among the Tunisian general population: Associated factors mining via machine learning IB Slima, S Ammar, M Turki, W Bouattour, J Aloulou Scientific African 21, e01804 , 2023 2023.0 Citations: 2
Attributes regrouping by genetic algorithm in fuzzy inference systems M Lejmi, IB Slima, A Borgi Procedia Computer Science 207, 1037-1046 , 2022 2022.0 Citations: 2
Possibilistic classifier combination for person re-identification I Ben Slima, S Ammar, M Ghorbel, Y Kessentini Mediterranean Conference on Pattern Recognition and Artificial Intelligence … , 2020 2020.0 Citations: 2
Regroupement d'attributs par règles d'association dans les systèmes d'inférence floue. IB Slima, A Borgi, T LR11ES14 LIPAH EGC, 317-328 , 2015 2015.0 Citations: 2
Apprentissage par Regroupement d'Attributs dans les Systèmes d'Inférence Floue IB Slima Université de Tunis El Manar , 2019 2019.0 Citations: 1
Generating Local Rules in Fuzzy Rule-Based Classification Systems M Lejmi, B Cuissart, IB Slima, N Meddouri, JL Lamotte, A Borgi International Conference on Computational Science and Its Applications, 150-165 , 2025 2025.0
Clustering and Association Rules Mining for Coral Reef Fish Distribution: A Data-Driven Approach in the Mediterranean Sea I Ben Slima, A Borgi, F Sellem International Conference on Management of Digital, 426-435 , 2024 2024.0
P17-Refinement of a ligand activity and representation of topological pharmacophores in a colored network M Lejmi, D Geslin, B Cuissart, IB Slima, N Meddouri, R Bureau, ... 11emes Journées de la Société Française de Chémoinformatique, 65 , 2023 2023.0
Clustering en chémoinformatique pour le raffinement de l'activité des molécules M Lejmi, IB Slima, B Cuissart, N Meddouri, R Bureau, A Lepailleur, ... Proceedings of the second Computer Science UTM PhD Symposium, 51-55 , 2023 2023.0
Scientific African A Raimi, A Roopnarain, R Adeleke 2021.0
Apprentissage par Regroupement d'Attributs dans les Systèmes d'Inférence Floue.(Regrouping Attributes in Fuzzy Inference Systems). IB Slima Tunis El Manar University, Tunisia , 2019 2019.0
Attributes regrouping by association rules in SUCRAGE R Zaatour, A Borgi, IB Slima 2016 11th International Conference on Intelligent Systems: Theories and … , 2016 2016.0
Scientific African IB Slima, S Ammar, M Turki, W Bouattour, J Aloulou
