PubMed Health⌕ Search

Biomedical subjects

R Hofestädt

Publications and source records attributed to R Hofestädt.

10 recordsLinked to original sources
PubMed2001

Information system for the support of research, diagnosis and therapy of inborn metabolic diseases.

We developed an information system for inborn metabolic diseases. The system consists of three parts. The first part is the MD-Cave for information on laboratory findings, genes, enzymes and metabolic pathways. The second part (ASDB) concerns with active agents and their different mechanisms of action inside the metabolic pathway and possible therapeutic treatment of these illnesses. The third part deals with the integration of these and other data bases for easy access to different information. This information system can be helpful for scientists and physicians working in the field of inborn metabolic diseases.

Biochemical Phenomena↗
PubMed2000

Knowledge acquisition, management and representation for the diagnostic support in human inborn errors of metabolism.

The very complex and specific knowledge about inborn errors of metabolism increases rapidly and is spread worldwide. Therefore an Internet platform for the acquisition of statistical knowledge (PATDB) and for the collection of the experience of experts (Metabolic diseases database) has been established. The success of diagnostic support highly depends on the way of knowledge representation. An information retrieval system for physicians will offer first insights about useful user interfaces and handling properties. Furthermore information fusion of biomedical systems to a Biomedical Workbench for the simulation of biochemical reactions is described.

Artificial Intelligence↗
PubMed1999

Metabolic drug pointing and information processing.

Computer supported drug design is based on the biochemical information for the prediction of alternative bio-chemical pathways. Molecular information on genes, proteins, biochemical reactions, mutations, inborn errors and metabolic diseases are available via internet. Based on this information we developed an information retrieval and processing concept combining knowledge about metabolic diseases and biochemical effects.

Artificial Intelligence↗
PubMed1998

A integrative molecular information system.

Methods of biotechnology allow the isolation, sequencing, and synthesis of molecular structures. Molecular database systems are available, which allow the worldwide data access. Methods and concepts of bioinformatics are important for the analysis of these molecular data, which represent complex regulatory networks. In this paper we present the architecture of our molecular information system.

Biotechnology↗
PubMed1998

Quantitative modeling of biochemical networks.

Today different database systems for molecular structures (genes and proteins) and metabolic pathways are available. All these systems are characterized by the static data representation. For progress in biotechnology the dynamic representation of this data is important. The metabolism can be characterized as a complex biochemical network. Different models for the quantitative simulation of biochemical networks are discussed, but no useful formalization is available. This paper shows that the theory of Petrinets is useful for the quantitative modeling of biochemical networks.

Biochemical Phenomena↗
PubMed1995

Interactive modelling and simulation of biochemical networks.

The analysis of biochemical processes can be supported using methods of modelling and simulation. New methods of computer science are discussed in this field of research. This paper presents a new method which allows the modelling and analysis of complex metabolic networks. Moreover, our simulation shell is based on this formalization and represents the first tool for the interactive simulation of metabolic processes.

Biochemical Phenomena↗
PubMed1993

Grammatical formalization of metabolic processes.

In the field of biotechnology and medicine it is of interest to model and simulate metabolic processes. The usual methods to model metabolic pathways are chemical descriptions and differential equations. Moreover, the graph theoretical aspect is discussed and the development of expert systems is in process. In this paper we present the formalization of metabolic processes. Our formalization is based on the theory of formal languages. This formalization is called genetic grammar and represents an expansion of the Semi-Thue-System.

Computer Simulation↗
PubMedDate not supplied

Information processing for the analysis of metabolic pathways and inborn errors.

Methods of biotechnology allow the analysis of molecular structures and molecular processes. Different molecular database systems are available which allow worldwide data access. Methods and concepts of bioinformatics are important for the analysis of these molecular data, which represent complex regulatory networks. The detection of metabolic diseases is one application of information systems, which represents molecular and medical data and allows the stimulation of metabolic processes. In this paper we present the architecture of our molecular information system.

Database Management Systems↗