Dmytro I | Technische Universität Dresden (original) (raw)
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Papers by Dmytro I
Molecular Cell, 2006
Conjugation of ubiquitin (Ub) to a protein substrate targets the substrate for degradation or fun... more Conjugation of ubiquitin (Ub) to a protein substrate targets the substrate for degradation or functional modification, which is tightly controlled by diverse mechanisms including phosphorylation of the substrate. An emerging mechanism involves regulation of the E3 Ub ligase, for example, the JNK-dependent phosphorylation and activation of Itch E3 ligase, which controls the turnover of Jun proteins and T cell differentiation.
The efficiency of automated multi-issue negotiation depends on the availability and quality of kn... more The efficiency of automated multi-issue negotiation depends on the availability and quality of knowledge about an opponent. We present a generic framework based on Bayesian learning to learn an opponent model, i.e. the issue preferences as well as the issue priorities of an opponent. The algorithm proposed is able to effectively learn opponent preferences from bid exchanges by making some assumptions about the preference structure and rationality of the bidding process. The assumptions used are general and consist among others of assumptions about the independency of issue preferences and the topology of functions that are used to model such preferences. Additionally, a rationality assumption is introduced that assumes that agents use a concession-based strategy. It thus extends and generalizes previous work on learning in negotiation by introducing a technique to learn an opponent model for multi-issue negotiations. We present experimental results demonstrating the effectiveness of our approach and discuss an approximation algorithm to ensure scalability of the learning algorithm.
Journal of Biomolecular Screening, 2005
High-throughput screening (HTS) is an efficient technology for drug discovery. It allows for scre... more High-throughput screening (HTS) is an efficient technology for drug discovery. It allows for screening of more than 100,000 compounds a day per screen and requires effective procedures for quality control. The authors have developed a method for evaluating a background surface of an HTS assay; it can be used to correct raw HTS data. This correction is necessary to take into account systematic errors that may affect the procedure of hit selection. The described method allows one to analyze experimental HTS data and determine trends and local fluctuations of the corresponding background surfaces. For an assay with a large number of plates, the deviations of the background surface from a plane are caused by systematic errors. Their influence can be minimized by the subtraction of the systematic background from the raw data. Two experimental HTS assays from the ChemBank database are examined in this article. The systematic error present in these data was estimated and removed from them. It enabled the authors to correct the hit selection procedure for both assays. (Journal of Biomolecular Screening 2005:557-567)
This model is applied to the optimization of service levels agreement process between the involve... more This model is applied to the optimization of service levels agreement process between the involved parties.
Molecular Cell, 2006
Conjugation of ubiquitin (Ub) to a protein substrate targets the substrate for degradation or fun... more Conjugation of ubiquitin (Ub) to a protein substrate targets the substrate for degradation or functional modification, which is tightly controlled by diverse mechanisms including phosphorylation of the substrate. An emerging mechanism involves regulation of the E3 Ub ligase, for example, the JNK-dependent phosphorylation and activation of Itch E3 ligase, which controls the turnover of Jun proteins and T cell differentiation.
The efficiency of automated multi-issue negotiation depends on the availability and quality of kn... more The efficiency of automated multi-issue negotiation depends on the availability and quality of knowledge about an opponent. We present a generic framework based on Bayesian learning to learn an opponent model, i.e. the issue preferences as well as the issue priorities of an opponent. The algorithm proposed is able to effectively learn opponent preferences from bid exchanges by making some assumptions about the preference structure and rationality of the bidding process. The assumptions used are general and consist among others of assumptions about the independency of issue preferences and the topology of functions that are used to model such preferences. Additionally, a rationality assumption is introduced that assumes that agents use a concession-based strategy. It thus extends and generalizes previous work on learning in negotiation by introducing a technique to learn an opponent model for multi-issue negotiations. We present experimental results demonstrating the effectiveness of our approach and discuss an approximation algorithm to ensure scalability of the learning algorithm.
Journal of Biomolecular Screening, 2005
High-throughput screening (HTS) is an efficient technology for drug discovery. It allows for scre... more High-throughput screening (HTS) is an efficient technology for drug discovery. It allows for screening of more than 100,000 compounds a day per screen and requires effective procedures for quality control. The authors have developed a method for evaluating a background surface of an HTS assay; it can be used to correct raw HTS data. This correction is necessary to take into account systematic errors that may affect the procedure of hit selection. The described method allows one to analyze experimental HTS data and determine trends and local fluctuations of the corresponding background surfaces. For an assay with a large number of plates, the deviations of the background surface from a plane are caused by systematic errors. Their influence can be minimized by the subtraction of the systematic background from the raw data. Two experimental HTS assays from the ChemBank database are examined in this article. The systematic error present in these data was estimated and removed from them. It enabled the authors to correct the hit selection procedure for both assays. (Journal of Biomolecular Screening 2005:557-567)
This model is applied to the optimization of service levels agreement process between the involve... more This model is applied to the optimization of service levels agreement process between the involved parties.