By National Research Council, Division on Engineering and Physical Sciences, Board on Mathematical Sciences and Their Applications, Committee on Mathematical Sciences Research for DOE's Computational Biology

The exponentially expanding quantities of organic info besides similar advances in computing strength are making attainable the development of quantitative, predictive organic platforms types. This improvement might revolutionize these biology-based fields of technological know-how. to help this modification, the U.S. division of strength requested the nationwide examine Council to suggest mathematical examine actions to permit more suitable use of the massive quantities of current genomic info and the structural and useful genomic details being created. The ensuing learn is a wide, scientifically established view of the possibilities mendacity on the mathematical technological know-how and biology interface. The publication offers a evaluation of previous successes, an exam of possibilities on the a variety of degrees of organic platforms - from molecules to ecosystems - an research of cross-cutting issues, and a suite of thoughts to improve the mathematics-biology connection which are appropriate to all organizations investment learn during this sector.

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Html 24 MATHEMATICS AND 21ST CENTURY BIOLOGY • Recognition and advancement. If mathematical scientists are to invest time and effort in learning biology and to contribute what, from a mathematical perspective, may be relatively simple methods, then the mathematical sciences must adjust their reward systems. This difficulty is an age-old problem in academic departments: It flares up as practitioners in a field venture out to the interface with another field and devote more intellectual energy to transitioning research results than to directly advancing their own field’s research agenda.

In order for such approaches to contribute significantly to progress in understanding biology, the experimental com- Copyright © National Academy of Sciences. All rights reserved. html THE NATURE OF THE FIELD 19 munity will need to be convinced of the value of such studies, which may not directly address the experimentalists’ goals. WHAT MAKES COMPUTATIONAL BIOLOGY PROBLEMS HARD? While the challenges posed by rapidly increasing amounts of data cut across all the sciences, those challenges posed by increased amounts of data in biology are uniquely difficult.

S. Kimball. 2004. Integrating remote sensing and ecosystem process models for landscape- to regional-scale analysis of the carbon cycle. Bioscience 6: 573-584. , C. Tan, Y. Bellaiche, S. Cherry, S. Hader, U. Gayko, and N. Perrimon. 2004. Temperature-sensitive control of protein activity by conditionally splicing inteins. Nat. Biotechnol. 22(7): 871-876. Copyright © National Academy of Sciences. All rights reserved. html 2 Historical Successes To set the stage for recommendations dealing with tomorrow’s productive interaction between the mathematical sciences and biology, this chapter briefly describes some successful interactions of the past.

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