摘要
研究了生物信息学中的一个重要问题,即蛋白质结构预测.并受物理世界的物体间相互作用的规律的启发,给出了该问题一个三维欧氏空间连续模型,它比离散模型有一定的优越性,使计算很自然地利用到了一个客观存在的"天然导引",这个"天然导引"即是疏水氨基酸之间的引力,然后根据这个连续模型找到了相应的拟物算法,最后还给出了实验结果,结果也证明了这个拟物算法在计算速度方面的优越性.
An important problem in biology informatics is researched in this paper,that is, protein structure prediction. We are enlightened by the law of reciprocity among things in the physics world and give a continuous model in 3D Euclidean space, which gain an advantage over the discretion model in some aspects. The continuous model's strongpoint is that it utilizes the gravitation among hydrophobe amino acid. Then, a related quasiphysical algorithm is formulated according to the 3D continuous model. At last we give some experiment results which also proves the advantage of the quasiphysical algorithm in compute rapidity.
出处
《武汉大学学报（理学版）》
CAS
CSCD
北大核心
2004年第5期586-590,共5页
Journal of Wuhan University:Natural Science Edition
基金
国家973计划资助项目(G1998030600)
湖北省咸宁市白云山林场开发基金资助项目
