Frequent updates in IoT software are crucial for fixing security vulnerabilities, correcting bugs, and adding new features. However, for systems comprising geographically distributed devices, implementing updates is c...
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Nowadays, the establishment of effective methods of QSAR (Quantitative Structure Activity Relationships) to predict the properties of new chemical compounds and directional computational molecular design of drug compo...
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ISBN:
(纸本)9781509001996
Nowadays, the establishment of effective methods of QSAR (Quantitative Structure Activity Relationships) to predict the properties of new chemical compounds and directional computational molecular design of drug compounds are the most important and urgent tasks of bioinformatics. The article proposes a technology based on immune network modeling to determine the substance of new drug compounds. There was presented the algorithm for the modeling of the dependences "structure-property" on the example of sulfonamides with different duration of action based on the biological approach of artificial immune systems. There was designed component-oriented approach for computational molecular design of new drug compounds based on immune network modeling. The proposed intelligent technology allows to analyze the hidden (latent) relations between the descriptors, to decrease the training time for the immune network and to use the descriptors of different levels.
Nowadays, the establishment of effective methods of QSAR (Quantitative Structure Activity Relationships) to predict the properties of new chemical compounds and directional computational molecular design of drug compo...
详细信息
ISBN:
(纸本)9781509002016
Nowadays, the establishment of effective methods of QSAR (Quantitative Structure Activity Relationships) to predict the properties of new chemical compounds and directional computational molecular design of drug compounds are the most important and urgent tasks of bioinformatics. The article proposes a technology based on immune network modeling to determine the substance of new drug compounds. There was presented the algorithm for the modeling of the dependences "structure-property" on the example of sulfonamides with different duration of action based on the biological approach of artificial immune systems. There was designed component-oriented approach for computational molecular design of new drug compounds based on immune network modeling. The proposed intelligent technology allows to analyze the hidden (latent) relations between the descriptors, to decrease the training time for the immune network and to use the descriptors of different levels.
Parameterization is an effective technique for decoupling design decisions in software. Several languages such as C++ and Ada (and Java and C# more recently) offer language constructs for building parameterized softwa...
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Parameterization is an effective technique for decoupling design decisions in software. Several languages such as C++ and Ada (and Java and C# more recently) offer language constructs for building parameterized software. Using template or generic constructs, one can postpone committing to specific design choices until the software system is ready for deployment. However, in cases where such choices are influenced by the execution environment, deployment time may not be late enough. Moreover, in the context of software systems that have to satisfy high availability constraints, or are long-running, changes in design choices may be warranted even after deployment. In this paper, we present a design pattern-based methodology for building parameterized components that support dynamic binding of parameters. Moreover, the methodology also supports dynamic re-binding of parameters in the event that such online change is required. (c) 2006 Elsevier Inc. All rights reserved.
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