Improving the drug discovery process by using multiple classifier systems

Improving the Discovery Component of Classifier Systems by the application of Estimation of Distribution Algorithms

Since Holland and Reitman [2] published their CS-1 a great amount of studies concerning classifiers systems (CSs) have appeared. The needs of studying crucial matters in the functioning of CS determined that researchers paid little attention to the evolutionary component of these systems. Nevertheless in the last years GA's have experienced a considerable development that makes necessary to rev...

Improving drug discovery using hybrid softcomputing methods

Virtual Screening (VS) methods can considerably aid clinical research, predicting how ligands interact with drug targets. Most VS methods suppose a unique binding site for the target, but it has been demonstrated that diverse ligands interact with unrelated parts of the target and many VS methods do not take into account this relevant fact. This problem is circumvented by a novel VS methodology...

The drug discovery process.

Improving Accuracy in Intrusion Detection Systems Using Classifier Ensemble and Clustering

Recently by developing the technology, the number of network-based servicesis increasing, and sensitive information of users is shared through the Internet.Accordingly, large-scale malicious attacks on computer networks could causesevere disruption to network services so cybersecurity turns to a major concern fornetworks. An intrusion detection system (IDS) could be cons...

Improving Drug Discovery From Microorganisms

Microorganisms remain unrivalled in their ability to produce bioactive small molecules for drug development. However, the core technologies used to discover microbial natural products have not evolved significantly over the past several decades, resulting in a shortage of new drug leads. Advances in DNA-sequencing and bioinformatics technologies now make it possible to rapidly identify the clus...