A5041177869- Semantic Web and Ontologies
- Advanced Graph Neural Networks
- Topic Modeling
- Distributed and Parallel Computing Systems
- Business Process Modeling and Analysis
- Bioinformatics and Genomic Networks
- Caching and Content Delivery
- Service-Oriented Architecture and Web Services
- Genomics and Phylogenetic Studies
- Advanced Database Systems and Queries
- Scientific Computing and Data Management
- Graph Theory and Algorithms
- Data Quality and Management
- Biomedical Text Mining and Ontologies
- Parallel Computing and Optimization Techniques
- Computational Drug Discovery Methods
- Web Data Mining and Analysis
- Simulation Techniques and Applications
- Interconnection Networks and Systems
- Glycosylation and Glycoproteins Research
- Distributed systems and fault tolerance
- Carbohydrate Chemistry and Synthesis
- Recommender Systems and Techniques
- Natural Language Processing Techniques
- Microbial Metabolic Engineering and Bioproduction
University of Georgia
2002-2024
University of Warsaw
1983-1987
Louisiana State University
1987
By associating meaning with content, the Semantic Web will facilitate search, interoperability, and composition of complex applications. The paper discusses Content Organization Retrieval Engine (SCORE, see vvww.voquette.com), which is based on research transferred from University Georgia's Large Scale Distributed Information Systems. SCORE belongs to a new generation technologies for emerging Web. It provides facilities define ontological components that software agents can maintain. These...
KinView enables both experts and novices to perform comparative analyses of cancer variants in the context natural sequence variation post-translational modifications across evolutionary groups kinases.
This article presents five run-time architectures for implementing a Workflow Management System (WFMS). The range from highly centralized to fully distributed. Two of the have been implemented at Large Scale Distributed Information Systems (LSDIS) Lab University Georgia. All WFMS are designed on top Common Object Request Broker Architecture (CORBA) implementation. also discusses advantages and disadvantages suitability CORBA as communication infrastructure. A minor extension CORBA’s...
Web services aim to support efficient integration of applications over Web. Most are stateful, such as for business processes, and they converse with each other via properly ordered interactions, instead individual unrelated invocations. In order address conversational services, we create a unified specification model both conversation protocol composition; propose methods integrate partner service complex into composition services; assure the correctness by formal verification. The mapping...
Abstract Many bioinformatics resources with unique perspectives on the protein landscape are currently available. However, generating new knowledge from these requires interoperable workflows that support cross-resource queries. In this study, we employ federated queries linking information Protein Kinase Ontology, iPTMnet, neXtProt, and Mouse Genome Informatics to identify key gaps in functional coverage of human kinome prioritize understudied kinases, cancer variants post-translational...
The Protein Kinase Ontology (ProKinO) is an integrated knowledge graph that conceptualizes the complex relationships among protein kinase sequence, structure, function, and disease in a human machine-readable format. In this study, we have significantly expanded ProKinO by incorporating additional data on expression patterns drug interactions. Furthermore, developed completely new browser from ground up to render visible interactive web. We enriched with classes capture information ligand...
Genetic Algorithms are heuristic search schemes based on a model of Darwinian evolution. Although not guaranteed to find the optimal solution, genetic algorithms have been shown be effective at finding near and, in some cases, solutions combinatorially explosive problems. Finding maximal length snake, list vertices satisfying specific constraints, an n -dimensional hypercube, box, is type problem that suffers from (serious) combinatorial explosion. That is, as increases, size solution space...
ABSTRACT The Protein Kinase Ontology (ProKinO) is an integrated knowledge graph that conceptualizes the complex relationships connecting protein kinase sequence, structure, function, and disease in a human machine-readable format. Here we extend scope of ProKinO as discovery tool by including new classes capturing information on ligand binding sites, expression patterns, functional features, demonstrate its application uncovering regarding understudied members family. Specifically, through...
The 534 protein kinases encoded in the human genome constitute a large druggable class of proteins that include both well-studied and understudied "dark" members. Accurate prediction dark kinase functions is major bioinformatics challenge. Here, we employ graph mining approach uses evolutionary functional context knowledge graphs (KGs) to predict pathway associations for kinases. We propose new scalable embedding approach, RegPattern2Vec, which employs regular pattern constrained random...
The focus of this paper is on how Active KDL can be used to provide a very powerful simulation support environment. (Knowledge/Data Language) an object-oriented database programming language, which provides access integrated model, knowledge, and data bases. Simulation inputs outputs stored by since it supports complex objects. More importantly, also allows users specify rules capture heuristic knowledge methods procedural behavior. Finally, simple mechanism for specifying concurrent...
Knowledge Graphs (KGs) are widely employed in artificial intelligence applications, such as question-answering and recommendation systems. However, KGs frequently found to be incomplete. While much of the existing literature focuses on predicting missing nodes for given incomplete KG triples, there remains an opportunity complete by exploring relations between nodes, a task known relation prediction. In this study, we propose prediction model that harnesses both textual structural...