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Determination of Polarity Terms of Some Nitrogen-Containing Surfactants and Simulated Hydrophobic Tail Models by Gas Chromatography 被引量:3
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作者 BARAKAT Y IBRAHIM V +1 位作者 MOSTAFA N E SHAKER N O 《色谱》 CAS CSCD 北大核心 2005年第4期347-352,共6页
Some polarity terms of two groups of nitrogen-containing surfactants (six alkanolamides and nine polyoxyethylenated long chain amines) are measured through gas chromatography. The apparent methanol carbon number (CM... Some polarity terms of two groups of nitrogen-containing surfactants (six alkanolamides and nine polyoxyethylenated long chain amines) are measured through gas chromatography. The apparent methanol carbon number (CMeOH) and polarity index (IP) values are determined on the investigated surfactants as stationary phases in packed columns. Similarly, CMeOH and IP values are determined on simulated hydrophobic tail (SHT) models. The obtained results reveal that the introduction of SHT approach permits the distinction between the polarities of different surfactants and their head groups. The measured polarity terms are discussed as related to hydrophile-lipophile balance (HLB) number and the hydrophobic group carbon number (RCN). Some equations relating the measured polarity values and these variable have been developed. 展开更多
关键词 气相色谱法 含氮表面活性剂 疏水尾链模型 极性参数 模拟测定
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Elaboration of Simplest Folding Structures in 2-Dimensional Lattice with Delta-Hemolysin and Its Variants in HP Model
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作者 Shaomin Yan Guang Wu 《Journal of Biomedical Science and Engineering》 2019年第5期293-309,共17页
Although the advanced 3-dimensional structure measurements provide more and more detailed structures in Protein Data Bank, the simplest 2-dimensional lattice model still looks meaningful because 2-dimensional structur... Although the advanced 3-dimensional structure measurements provide more and more detailed structures in Protein Data Bank, the simplest 2-dimensional lattice model still looks meaningful because 2-dimensional structures play a complementary role with respect to 3-dimensional structures. In this study, the folding structures of delta-hemolysin and its six variants were studied at 2-dimensional lattice, and their amino acid contacts in folding structures were considered according to HP model with the aid of normalized amino acid hydrophobicity index. The results showed that: 1) either delta-hemolysin or each of its variants could find any of its folding structure in one eighth of 1,129,718,145,924 folding structures because of symmetry, which reduces the time required for folding, 2) the impact of pH on folding structures is varying and associated directly with the amino acid sequence itself, 3) the changes in folding structures of variants appeared different case by case, and 4) the assigning of hydrophobicity index to each amino acid was a way to distinguish folding structures at the same native state. This study can help to understand the structure of delta-hemolysin, and such an analysis can shed lights on NP-problem listed in millennium prize because the HP folding in lattice belongs to a sub-problem of NP-problem. 展开更多
关键词 FOLDING Structure Delta-Hemolysin hp model hydrophobicITY Index LATTICE Minimal Energy Native State
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基于强化学习的HP模型优化方法研究 被引量:1
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作者 吴宏杰 杨茹 +2 位作者 傅启明 陈建平 陆卫忠 《计算机工程与应用》 CSCD 北大核心 2019年第12期132-139,共8页
蛋白质结构预测问题一直是生物信息学中的重要问题。基于疏水极性模型的蛋白质二维结构预测问题是一个典型的NP难问题。目前疏水极性模型优化的方法有贪心算法、粒子群算法、遗传算法、蚁群算法和蒙特卡罗模拟方法等,但这些方法成功收... 蛋白质结构预测问题一直是生物信息学中的重要问题。基于疏水极性模型的蛋白质二维结构预测问题是一个典型的NP难问题。目前疏水极性模型优化的方法有贪心算法、粒子群算法、遗传算法、蚁群算法和蒙特卡罗模拟方法等,但这些方法成功收敛的鲁棒性不高,容易陷入局部最优。由此提出一种基于强化学习的HP模型优化方法,利用其连续马尔可夫最优决策与最大化全局累计回报的特点,在全状态空间中,构建基于能量函数的奖赏函数,引入刚性重叠检测规则,充分挖掘生物序列中的全局进化关系,从而进行有效与稳定的预测。以3条经典论文序列和5条Uniref50序列为实验对象,与贪心算法和粒子群算法分别进行了鲁棒性、收敛性与运行时间的比较。贪心算法只能在62.5%的序列上进行收敛,该文方法能在5万次训练后稳定的在所有序列上达到了收敛。与粒子群算法相比,两者都能找到最低能量结构,但该文的运行时间较粒子群算法降低了63.9%。 展开更多
关键词 强化学习 hp模型 结构预测
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基于HP模型的蛋白质折叠问题的研究 被引量:3
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作者 史小红 《生物信息学》 2016年第2期112-116,共5页
基于蛋白质二维HP模型提出改进的遗传算法对真实蛋白质进行计算机折叠模拟。结果显示疏水能量函数最小值的蛋白质构象对应含疏水核心的稳定结构,疏水作用在蛋白质折叠中起主要作用。研究表明二维HP模型在蛋白质折叠研究中是可行的和有... 基于蛋白质二维HP模型提出改进的遗传算法对真实蛋白质进行计算机折叠模拟。结果显示疏水能量函数最小值的蛋白质构象对应含疏水核心的稳定结构,疏水作用在蛋白质折叠中起主要作用。研究表明二维HP模型在蛋白质折叠研究中是可行的和有效的并为进一步揭示蛋白质折叠机理提供重要参考信息。 展开更多
关键词 蛋白质折叠模拟 hp模型 遗传算法 蛋白质构象
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2-Dimensional HP Foldings of Dermaseptin-J2
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作者 Shaomin Yan Guang Wu 《Engineering(科研)》 2013年第10期78-84,共7页
Although the hydrophobic-polar (HP) model is a simple model to study protein folding, it is an approximation to the real-life case. Dermaseptin is a subfamily of frog skin active peptide family, which has various anti... Although the hydrophobic-polar (HP) model is a simple model to study protein folding, it is an approximation to the real-life case. Dermaseptin is a subfamily of frog skin active peptide family, which has various antimicrobial activities, and dermaseptin-J2 is a newly found peptide composed of 26 amino acids. In this study, the 2-dimensional HP model was used to analyze the foldings of dermaseptin-J2 and its nine mutants, which were converted to different HP sequences according to the normalized amino acid hydrophobicity index with respect to pH levels and the conversion of glycine as hydrophobic or polar, and each has 847,288,609,443 possible foldings. The results show that the foldings with minimal energy have different native states, which are chiral and can be numerically distinguished and ranked according to the normalized amino acid hydrophobicity index. The nine mutants of dermaseptin-J2 do not affect the minimal energy but affect their native states at pH 7. The results demonstrate that two pH levels and conversion of glycine as hydrophobic or polar affect the native state and minimal energy, suggesting these are two ways to modify dermaseptin-J2. 展开更多
关键词 DERMASEPTIN FOLDING Configuration hp model hydrophobicITY Index Minimal Energy NATIVE State
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蚂蚁群落优化算法在蛋白质折叠二维亲-疏水格点模型中的应用 被引量:3
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作者 李冬冬 王正志 +1 位作者 杜耀华 晏春 《生物物理学报》 CAS CSCD 北大核心 2004年第5期371-374,共4页
氨基酸的亲疏水格点模型是研究蛋白质折叠的一种重要的简化模型,其优化问题是一个非确定型的多项式问题。采用蚂蚁群落优化算法对这一问题进行了研究,对测试数据的计算结果表明,在一定规模下,此算法能够有效地获得亲-疏水格点模型的最优... 氨基酸的亲疏水格点模型是研究蛋白质折叠的一种重要的简化模型,其优化问题是一个非确定型的多项式问题。采用蚂蚁群落优化算法对这一问题进行了研究,对测试数据的计算结果表明,在一定规模下,此算法能够有效地获得亲-疏水格点模型的最优解,其效率优于传统的MonteCarlo仿真等方法。 展开更多
关键词 蛋白质折叠 hp模型 蚂蚁群落优化算法 MONTE Carlo仿真
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