摘要
由于生物分子在化学反应中具有高度的并行性和识别能力 ,使生物分子计算在解决组合优化问题中显示出巨大的优势。生物分子计算已成功地应用于计算哈密顿路径、最大集合以及逻辑运算中的SAT类问题等 NP完全问题。本文总结了生物分子计算的基本思想与计算方法、生物分子计算的应用与进展 ,并对生物分子计算的发展趋势作了评述。
Due to the high parallelism and recognition ability of the biomolecules in biochemical reactions, biomolecular computing behaves great advantage in solving combinatorial optimization problems. Biomolecular computing has been successfully applied in computing NP complete problems such as Hamiltonion path problem, maximal clique problem and SAT problems in Boolean calculation, etc. This paper presents a review of fundamental ideas, computing methods, applications and advances in biomolecular computing. Furthermore, the developmental trend of biomolecular computing is described.
出处
《化学进展》
SCIE
CAS
CSCD
2002年第1期37-46,共10页
Progress in Chemistry
基金
国家自然科学基金资助项目 (编号 :2 9975 0 2 7)