Rule and Root-based Metadata-Ecosystem for Structural Bioinformatics & Facebook

PROVA: Rule-Based Java-Scripting for a Bioinformatics Semantic Web

Transparent information integration across distributed and heterogeneous data sources and computational tools is a prime concern for bioinformatics. Recently, there have been proposals for a semantic web addressing these requirements. A promising approach for such a semantic web are the integration of rules to specify and implement workflows and object-orientation to cater for computational asp...

On the Creation of Structural FaceBook using Rule-Based Methods to Build and Exchange Ontology for Drug Design

Abstract: The AIDS HIV structural databases (HIVSDB, http://bioinfo.nist.gov/SemanticWeb_pr2d/chemblast.do ), the Protein Data Bank (http://www.rcsb.org/pdb/home/home.do) and the PubChem ( http://pubchem.ncbi.nlm.nih.gov/ ) distribute one of the largest comprehensive collections of structural data on inhibitors, drug leads and clinical drugs for many diseases including AIDS. These databases con...

The Metadata Ecosystem of DataID

The rapid increase of data produced in a data-centric economy emphasises the need for rich metadata descriptions of datasets, covering many domains and scenarios. While there are multiple metadata formats, describing datasets for specific purposes, exchanging metadata between them is often a difficult endeavour. More general approaches for domain-independent descriptions often lack the precisio...

A Margin-based Model with a Fast Local Searchnewline for Rule Weighting and Reduction in Fuzzynewline Rule-based Classification Systems

Fuzzy Rule-Based Classification Systems (FRBCS) are highly investigated by researchers due to their noise-stability and  interpretability. Unfortunately, generating a rule-base which is sufficiently both accurate and interpretable, is a hard process. Rule weighting is one of the approaches to improve the accuracy of a pre-generated rule-base without modifying the original rules. Most of the pro...

Bioinformatics III: Structural Bioinformatics and Genome Analysis