| 1. | From levinthal ' s paradox to protein structure prediction
佯谬到蛋白质结构预测 |
| 2. | Application of graph theory methods to protein structure prediction
图论方法研究蛋白质结构预测问题 |
| 3. | Application of modern optimum algorithms to protein structure prediction
现代优化计算方法在蛋白质结构预测中的应用 |
| 4. | An improvement of simulated annealing algorithm and its application to protein structure prediction
模拟退火算法的一种改进及其在蛋白质结构预测中的应用 |
| 5. | You might wonder what the relationship is between protein structure prediction and designing new proteins
您可能会好奇，蛋白质结构预测和设计新的蛋白质这两者之间有什麽关系，事实上他们关系密切。 |
| 6. | Protein structure prediction is the focus of protein study for a long time . some theoretic methods were reviewed and different states of protein structure prediction were mainly introduced in this paper
一直以来,蛋白质结构预测都是人们研究的焦点,综述了蛋白质结构预测的几种理论方法和不同阶段。 |
| 7. | The biological sequence analysis research content mainly includes the sequence alignment , the protein structure prediction , and the genome sequence analysis etc . the thesis studied the pair - wise sequence alignment algorithms and the protein secondary structure prediction methods emphatically
生物序列分析的主要研究内容包括序列比对、蛋白质结构预测、基因组序列分析等。本论文着重研究了双序列比对算法和蛋白质二级结构的预测方法。 |
| 8. | 19 sugimoto n et al . thermodynamic parameters to predict stability of rna dna hybrid duplexes . biochemistry , 1995 , 34 : 11211 - 11216 . 20 sun z , xia x , guo q , xu d . protein structure prediction in a 210 - type lattice model : parameter optimization in the genetic algorithm using orthogonal array
在e . coli中,通过优化rna发夹结构u -尾部u分布和u -尾部杂交能量这三种参数， rnall法能检测出92 . 25 %已知的不依赖终止子，同时舍弃98 . 48 %编码区间的rna二级结构阴性对照。 |
| 9. | Additionally , in the whole process of protein structure prediction , alignment between query sequence and target sequence affects modeling greatly ultimately , so it plays an very important role for the whole process of protein structure prediction to improve precision of alignment between query sequence and target sequence
另外,在整个的蛋白质结构预测过程中,查询序列和目标序列的排列对于最终的建模影响最大,因此提高这个过程的排列精度,对整个的蛋白质结构预测过程都有很重要的作用。 |
| 10. | In this paper , we first analyze the validity of a quasiphysical algorithm for protein structure prediction , and show that there exists much randomness in obtaining a valid folding structure using this algorithm , then give anjudgment criterion for the bond " interfere " in folding structure , and propose modifying schemes used to improve the validity of the quasiphysical algorithm
摘要对预测蛋白质空间结构的拟物算法的有效性进行理论分析，证明用该拟物算法求得合法的结构存在较大的随机性；给出折叠结构发生冲突的判断条件和提高拟物算法有效性的一些修正方案。 |
