本文重点研究了韵律结构预测模型。
This paper focuses on the prosodic structure prediction model.
膜蛋白的结构预测在目前比较困难。
Up to now it is difficult to predict the structure of the membrane protein.
青岛市土地利用结构预测。
随后玩家们将参与到蛋白结构预测这一尖端课题的研究中。
They will then be doing cutting-edge research in protein-structure prediction.
这是膜蛋白分类和二级结构预测在线工具的网页。
This is a web page of Classification and Secondary Structure Prediction of Membrane Proteins.
RNA二级结构预测问题是生物信息学的一个研究重点。
One of the most important research areas in bioinformatics is RNA secondary structure prediction.
蛋白质结构预测问题是计算生物学领域的核心问题之一。
Protein structure prediction has proven to be one of the central problems in the field of computational biology.
数值实验表明该算法对于蛋白质结构预测是可行有效的。
Numerical tests illustrate that the memory Tabu search algorithm is feasible and effective to protein structure prediction problems.
RNA二级结构预测是计算分子生物学中的一个重要领域。
RNA secondary structure prediction is one of the most important fields in computational molecular biology.
低同源蛋白质的二级结构预测至今仍然是一个困难的问题。
Prediction of lowly homological protein secondary structure is still a difficult problem up to now.
油气发现过程模型的建立是油气资源结构预测的重要环节。
Discovery process model method is one of important quantitative methods to evaluate oil and gas resource.
用于创建流程图、顺序图、信息跟踪图、流程规划图和结构预测图。
Create flowcharts, top-down diagrams, information tracking diagrams, process planning diagrams, and structure prediction diagrams.
在他们找到其他试验方法之前，这种结构预测的计算方法还有很长的一段路要走。
Computational methods for structure prediction still have a way to go before they could replace experimental methods.
采用非格点模型，以相对熵作为优化函数，进行蛋白质三维结构预测。
The off-lattice model is adopted and the relative entropy is used as a minimization function to predict the tertiary structure of a protein.
我们讨论了这个领域的一些进展，包括使用大洪水算法进行的非晶格结构预测。
We discuss some developments in this area, including off-lattice structure prediction using the great deluge algorithm.
创建流程图、顺序图、信息跟踪图、流程规划图和结构预测图。包含连接线和链接。
Create flowcharts, top-down diagrams, information tracking diagrams, process planning diagrams, and structure prediction diagrams. Contains connectors and links.
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。
The biological sequence analysis research content mainly includes the sequence alignment, the protein structure prediction, and the genome sequence analysis etc.
氨基酸序列决定蛋白质高级结构是普遍接受的假设，也是蛋白质结构预测的理论基础。
It is generally accepted that amino acid sequences determine the spatial structures of proteins. Protein structure prediction methods are explicitly or implicitly based on this assumption.
蛋白质结构预测是生物信息学中的重要课题，而蛋白质序列是蛋白质结构预测的基础。
The structure prediction of proteins is the important problem of biology informatics. And the protein sequence is the base of the structure prediction of proteins.
用于创建流程图、顺序图、信息跟踪图、流程规划图和结构预测图。包含连接线和链接。
Use for flowcharts, top-down diagrams, information tracking diagrams, process planning diagrams, and structure prediction diagrams. Contains connectors and links.
蛋白质二级结构预测是蛋白质结构预测的重要组成部分，是蛋白质结构预测最关键的步骤。
Protein secondary structure prediction becomes the most important step of predicting the space conformation from protein molecule.
简要地介绍了模拟退火算法，遗传算法，人工神经网络和图论算法在蛋白质结构预测中的应用。
The paper briefly introduces some modern optimum algorithms of simulated annealing, genetic algorithms, neural networks and graphic algorithms in and applied in prediction of protein structure.
该文简要介绍图的连通子图、图的最大团、图的完美匹配及图谱法在蛋白质结构预测中的应用。
The paper briefly introduces some graph theory methods such as maximal connected subgraph, maximal cliques, perfect match and graph spectral research which applied in prediction of protein structure.
RNA二级结构预测方法可以分为基于热力学的预测方法和基于系统发生学的预测方法两大类。
The methods for RNA secondary structure prediction can be divided into two categories which are the methods based on thermodynamics and phylogenetics.
文章针对蛋白质二级结构预测这一复杂非线性模式分类问题，提出了基于径向基函数的预测方法。
Aiming at solving the complicated non-linear pattern classification problem of protein secondary structure prediction, a new method based on radial basis function is proposed.
比赛发起者说，历时17年的比赛已经帮助找到了影响蛋白结构预测的常见障碍，并且还有集思广益的效果。
The 17-year-old competition has helped identify common stumbling blocks in protein-shape prediction and focus research efforts, its founders have said.
蛋白质结构预测是生物信息学的一个主要研究方向，而蛋白质关联图预测是其中的一个重要内容。
The protein structure prediction is a main direction in bioinformatics, and the prediction of protein contact maps is an important content in protein structure prediction.
为了提高蛋白质二级结构预测精度，本文尝试采用一种基于串联BP网络集成的二级结构预测模型。
To improve the prediction results of protein secondary structure, we developed a neural network ensemble model based on dual-layer feed forward BP network.
蛋白质结构预测模型的目标函数通常采用基于物理理论的经验势函数或基于统计理论的平均势能函数。
The objective function in the model of prediction of protein structure is a potential energy function, either physics-based potentials or statistic-based potentials.
蛋白质结构构象呈现明显的规律，研究其在特定构象空间的分布对蛋白质结构预测和模拟具有重要意义。
Research on conformational space of protein structure in which proteins take clear regulation plays a key role in protein structure prediction and simulation.
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