AI was used to create the music based on the protein structure of COVID-19.
人工智能被用于以新冠病毒的蛋白质结构为基础进行音乐创作。
The experimental results from the protein structure prediction demonstrate that the model is effective and promising.
实验研究结果表明本文所提出的模型是有效的并具有良好的发展前景。
The ab initio prediction of protein structure is to solve a global optimization problem per se, in which the first step is to build a mathematical model.
利用氨基酸序列预测蛋白质结构可以归结为一个复杂系统的全局优化问题，建立一个合理的预测模型是关键性的第一步。
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。
Several RNA and protein structure volume calculation tools.
一些生物信息学的计算工具。
Designing a scoring function plays a key role in protein structure prediction.
评分函数设计是预测蛋白质结构的关键之一。
This protein structure bioinformatics web service collection has over 1600 different functions.
该蛋白质结构生物信息学网络服务有1600多种不同的功能。
Various helical rich protein structure models will be used to reveal the properties of protein helices.
不同富含螺旋的蛋白质结构模型将会用来展现蛋白质螺旋的特性。
CONCLUSIONS: Analysis of the structural families generated by CATH reveals the prominent features of protein structure space.
结论：由CATH产生的结构家族的分析揭示了蛋白质结构空间的显著特征。
Protein secondary structure prediction is a fundamental and important component in the study of protein structure and functions.
蛋白质二级结构是研究蛋白质结构和功能的基础和重要组成部分。
Numerical tests illustrate that the memory Tabu search algorithm is feasible and effective to protein structure prediction problems.
数值实验表明该算法对于蛋白质结构预测是可行有效的。
Studies on the relationship between protein structure and function, and its actual application are important parts of the proteomics research.
蛋白质结构与功能关系的研究以及应用，是蛋白质组学研究的重要组成部分。
Models that simulate effects of perturbing protein structure and function are therefore highly relevant to assessing and predicting drug actions.
能够影响蛋白的结构和功能的模型对于评估和预见药物的作用是很有用的。
By using the protein structure of CEP290, the investigators were able to discover LCA5, as they have similar structures and functions in the retina.
通过使用CEP290的蛋白结构，研究学者发现了LCA5，两者在视网膜中具有相似的结构和功能。
One of the functions of small molecular heat shock protein is to adjust protein structure under physiological condition and disease of nervous system.
小分子热休克蛋白的功能之一是在生理应激条件和神经系统疾病时调节蛋白结构。
Protein second structure data is chosen as main study object, and data mining and dynamic programming are applied to protein structure classification.
本文选择蛋白质二级结构数据为主要的研究对象，应用数据挖掘技术和机器学习中的动态规划理论进行蛋白质结构分类。
Using a new neighborhood structure and partly randomized off-trap strategy, a novel local search algorithm for protein structure prediction is proposed.
构造了新的邻域结构，采用了部分随机跳坑策略，对此问题提出了新的局部搜索算法。
Research on conformational space of protein structure in which proteins take clear regulation plays a key role in protein structure prediction and simulation.
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。
Her research interests include the structure and evolution of genomes, the properties of protein surfaces and interfaces, and prediction of protein structure.
她的研究兴趣包括基因组结构和进化、蛋白质表面和界面特性，以及蛋白质结构预测。
This method does not rely on gene sequence or protein structure homologies, and it can be applied to any organism and a wide variety of experimental data sets.
这个方法不依赖于基因的序列或者是蛋白的同源结构，它能够适用于任何的生物体和大量的实验数据集。
The biological sequence analysis research content mainly includes the sequence alignment, the protein structure prediction, and the genome sequence analysis etc.
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。
Protein structure classification is based on several levels. In recent years, the topic is to find methods to classify and analyze automatically protein structure.
蛋白质结构分类分为多个层次，如何对蛋白质结构进行定量分类和自动分析是目前研究的重点。
We begin with a discussion of research into protein structure comparison, and highlight the utility of Kolmogorov complexity as a measure of structural similarity.
我们以对蛋白质结构比较研究的一个讨论开始，并强调了柯氏复杂性作为结构相似性的一个测量的效用。
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.
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。
Multiple sequence alignment is one of the essential tools of studying bioinformatics and it plays an important role in the evolution analysis and protein structure prediction.
多序列比对是一种重要的生物信息学工具，在生物的进化分析以及蛋白质的结构预测方面有著重要的应用。
It not only can provide rapidly new enzymes for industrial application, but also has much theoretical importance for studying the relationship between protein structure and function.
它不仅可快速产生工业上有用的新酶，而且对研究蛋白质的结构与功能的关系具有非常重要的意义。
Genetic Polymorphism is a important regulating type for the gene function, it can influence the protein structure and function by only change a single nucleotide in the coding region.
遗传物质的多态性是基因功能调节的重要方式之一，基因编码区域单个核苷酸碱基的替换就可能改变蛋白质的结构和功能，对细胞或机体的生理功能产生重要影响。
Similarity searches are a powerful method for solving important biological problems such as database scanning, evolutionary studies, gene prediction, and protein structure prediction.
相似性搜索是解决重要的生物学问题，例如数据库扫描、进化研究、基因预测和蛋白质结构预测的一种强大的方法。
Similarity searches are a powerful method for solving important biological problems such as database scanning, evolutionary studies, gene prediction, and protein structure prediction.
相似性搜索是解决重要的生物学问题，例如数据库扫描、进化研究、基因预测和蛋白质结构预测的一种强大的方法。
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