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1.
World Science and Technology-Modernization of Traditional Chinese Medicine ; (12): 19-29, 2017.
Article in Chinese | WPRIM | ID: wpr-513171

ABSTRACT

The origin of precision medicine was discussed in this article,as well as its advantages and deficiencies at this stage.Tangshen formula was taken as an example to explain a rational and ideal mode of traditional Chinese medical (TCM) precision medicine research under the guidance of TCM theory.In view of the two major problems existing in the TCM modernization research,including the separated strategy among formula-disease-syndrome and independent research approach using genomics,proteomics and metabonomics,critical scientific issues on developing the drug system to biological system research mode and solutions for integrating formula-disease-syndrome were proposed here,and the roadmap and total framework of top design were also provided.The specific methods and the corresponding research results on Tangshen formula at the three stages concluded as formula-disease related,disease-syndrome combinated and formula-disease-syndrome integrated were introduced and summarized.At this time for the innovative breakthrough development of TCM,precision medicine will promote the TCM modernization research,and also will provide a powerful driving force for the establishment of holistic systems medicine.

2.
Rev. bras. eng. biomed ; 29(3): 213-226, set. 2013. ilus, tab
Article in English | LILACS | ID: lil-690210

ABSTRACT

INTRODUCTION: The learning of core concepts in neuroscience can be reinforced by a hands-on approach, either experimental or computer-based. In this work, we present a web-based multi-scale neuromuscular simulator that is being used as a teaching aid in a campus-wide course on the Principles of Neuroscience. METHODS: The simulator has several built-in individual models based on cat and human biophysics, which are interconnected to represent part of the neuromuscular system that controls leg muscles. Examples of such elements are i) single neurons, representing either motor neurons or interneurons mediating reciprocal, recurrent and Ib inhibition; ii) afferent fibers that can be stimulated to generate spinal reflexes; iii) muscle unit models, generating force and electromyogram; and iv) stochastic inputs, representing the descending volitional motor drive. RESULTS: Several application examples are provided in the present report, ranging from studies of individual neuron responses to the collective action of many motor units controlling muscle force generation. A subset of them was included in an optional homework assignment for Neuroscience and Biomedical Engineering graduate students enrolled in the course cited above at our University. Almost all students rated the simulator as a good or an excellent learning tool, and approximately 90% declared that they would use the simulator in future projects. CONCLUSION: The results allow us to conclude that multi-scale neuromuscular simulator is an effective teaching tool. Special features of this free teaching resource are its direct usability from any browser (http://remoto.leb.usp.br/), its user-friendly graphical user interface (GUI) and the preset demonstrations.

3.
Genomics & Informatics ; : 38-40, 2009.
Article in English | WPRIM | ID: wpr-76621

ABSTRACT

The EST Knowledge Integrated System, EKIS (http://ekis.kribb.re.kr), was established as a part of Korea's Ministry of Education, Science and Technology initiative for genome sequencing and application research of the biological model organisms (GEAR) project. The goals of the EKIS are to collect EST information from GEAR projects and make an integrated database to provide transcriptomic and metabolomic information for biological scientists. The EKIS constitutes five independent categories and several retrieval systems in each category for incorporating massive EST data from high-throughput sequencing of 65 different species. Through the EKIS database, scientists can freely access information including BLAST functional annotation as well as Genechip and pathway information for KEGG. By integrating complex data into a framework of existing EST knowledge information, the EKIS provides new insights into specialized metabolic pathway information for an applied industrial material.


Subject(s)
Data Mining , Expressed Sequence Tags , Genome , Metabolic Networks and Pathways , Metabolomics , Models, Biological
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