| 1) |
Establishment of Mathematical Models as a Foundation
of Bioinformatics |
| |
Research and development of mathematical theories
and algorithms such as probabilistic models, and of advanced
storage, retrieval, and deduction systems for biological information,
as a common foundation for bioinformatics research. |
| |
| 2) |
R&D of Technologies for Finding Gene Regions
in Large Genome Sequences and Predicting Protein |
| |
Functions Development of comprehensive and high-speed
analytical techniques for determining genes in genome sequences
accurately and for predicting structure and function of proteins
coded by genes. |
| |
| 3) |
R&D of Protein-structure Prediction Technologies
through the Convergence of Statistical |
| |
Information and Physical-energy Computations
Development of computational techniques for predicting the 3D
structure of proteins by combining physical-energy calculations
with statistical knowledge, and of techniques for estimating
3D structure based on image processing technologies. |
| |
| 4) |
R&D of Technologies for Simulating Intra-cell
Biological Phenomena |
| |
Development of data-analysis techniques for elucidating
intra-cell metabolic networks and genetic-control networks,
and development of integrated simulation systems for those networks.
|
