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1261 - 1270 / 2000
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1261.
Comparing optimization algorithms through the lens of search behavior analysis
Gjorgjina Cenikj, Gašper Petelin, Tome Eftimov, 2025, published scientific conference contribution

Keywords: black-box single-objective numerical optimization, optimization algorithm analysis
Published in DiRROS: 20.08.2025; Views: 355; Downloads: 184
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1262.
1263.
Customized exploration of landscape features driving multi-objective combinatorial optimization performance
Ana Nikolikj, Gabriela Ochoa, Tome Eftimov, 2025, published scientific conference contribution

Keywords: landscape analysis, multi-objective combinatorial optimization, feature importance
Published in DiRROS: 20.08.2025; Views: 376; Downloads: 187
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1264.
Hybrid polymer composite of abaca-E-glass and epoxy-bamboo activated carbon nanofiller with variations in fiber orientation
L. Banowati, N. Chitraningrum, 2025, original scientific article

Keywords: hybrid, abaca, E-glass, nanofiller, epoxy, bamboo-activated carbon
Published in DiRROS: 20.08.2025; Views: 402; Downloads: 181
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1265.
Adaptive estimation of the number of algorithm runs in stochastic optimization
Tome Eftimov, Peter Korošec, 2025, published scientific conference contribution

Keywords: experimental design, number of runs, stochastic optimization algorithms
Published in DiRROS: 20.08.2025; Views: 349; Downloads: 177
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1266.
1267.
Exploring module interactions in modular CMA-ES across problem classes
Ana Nikolikj, Tome Eftimov, 2025, original scientific article

Abstract: This study presents an in-depth analysis of module importance within the modular CMA-ES (modCMA-ES) algorithm using exploratory data analysis and large-scale benchmarking across the BBOB suite. Rather than introducing new algorithms, our contribution lies in uncovering how individual modules and their interactions influence optimization performance across diverse black-box problem classes. We evaluate 324 modCMA-ES variants across 24 problem classes using functional ANOVA (f-ANOVA) to quantify the variance in performance attributable to individual, pairwise, and triplet module interactions. Results reveal substantial variation in module importance across problem classes and highlight strong alignment between module interaction patterns and high-level landscape features, particularly multi-modality. Further, we demonstrate that configuring only the most important modules — identified via f-ANOVA — achieves performance comparable to or better than the single-best solver, especially in high-dimensional settings. This analysis, conducted at both low (5D) and high (30D) dimensions, offers actionable insights into module interactions within the mod-CMA-ES framework.
Keywords: module importance, empirical study, black-box optimization, benchmarking
Published in DiRROS: 20.08.2025; Views: 404; Downloads: 177
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1268.
1269.
Exploration of the high-capacity tetrahydroxybenzene materials for organic batteries
Klemen Pirnat, Uroš Javornik, Nerea Casado, Nicholas Ballard, Jose Ignacio Santos, David Mecerreyes, Robert Dominko, 2025, original scientific article

Published in DiRROS: 20.08.2025; Views: 369; Downloads: 161
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1270.
Thiol-reactive or redox-active : revising a repurposing screen led to a new invalidation pipeline and identified a true noncovalent inhibitor against papain-like protease from SARS-CoV-2
Maria Kuzikov, Stefano Morasso, Jeanette Reinshagen, Markus Wolf, Vittoria Monaco, Flora Cozzolino, Simona Golič Grdadolnik, Primož Šket, Janez Plavec, Daniela Iaconis, 2025, original scientific article

Abstract: The SARS-CoV-2 papain-like protease PLpro has multiple roles in the viral replication cycle, related to both its polypeptide cleavage function and its ability to antagonize the host immune response. Targeting the PLpro function is recognized as a promising mechanism to modulate viral replication, while supporting host immune responses. However, the development of PLpro-specific inhibitors remains challenging. Comprehensive investigations utilizing enzymatic, binding studies, and cellular assays revealed the previously reported inhibitors to act in an unspecific manner. At present, GRL-0617 and its derivatives remain the best-validated compounds with demonstrated antiviral activity in cells and in mouse models. In this study, we refer to the pitfalls of the redox sensitivity of PLpro. Using a screening-based approach to identify inhibitors of PLpro’s proteolytic activity, we made extensive efforts to validate active compounds over a range of conditions and readouts, emphasizing the need for comprehensive orthogonal data when profiling putative PLpro inhibitors. The remaining active compound, CPI-169, was shown to be a noncovalent inhibitor capable of competing with GRL-0617 in NMR-based experiments, suggesting that it occupied a similar binding site and inhibited viral replication in Vero-E6 cells, opening new design opportunities for further development as antiviral agents.
Keywords: SARS-CoV-2, drug repurposing, papain-like protease, redox, STD-NMR, CPI-169, GRL-0617
Published in DiRROS: 20.08.2025; Views: 355; Downloads: 170
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