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Proceedings of MOL2NET 2018, International Conference on Multidisciplinary Sciences, 4th edition最新文献

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pH-dependent permeability of outer membrane protein G: an in silico study 外膜蛋白G的ph依赖性通透性:一项硅研究
Inês D. S. Pires, M. Machuqueiro
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引用次数: 0
The importance of unstructured termini in the aggregation cascade of beta-2-microglobulin: insights from molecular simulations of D76N mutant 非结构化末端在β -2微球蛋白聚集级联中的重要性:来自D76N突变体分子模拟的见解
Rui J. S. Loureiro, Diogo Vila-Viçosa, M. Machuqueiro, E. Shakhnovich, P. Faísca
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引用次数: 0
Evaluation of Different Scoring Functions for Docking and Virtual Screening against GPCR Drug Targets GPCR药物靶点对接与虚拟筛选的不同评分函数评价
Tatiana F. Vieira, Rita P. Magalhães, N. Cerqueira, S. Sousa
Graphical Abstract Abstract. G-protein-coupled receptors (GPCRs) constitute a large family of structurally similar proteins that respond to diverse physiological and environmental stimulants and that includes many therapeutic targets. In fact, 40% of all modern medicinal drugs are thought to target G-protein-coupled receptors (GPCRs), making this large family of proteins a particular appealing target for drug discovery efforts [1, 2]. Protein-ligand docking is a computational method that tries to predict and rank the structure resulting from the association between a ligand and a target protein [3]. Virtual screening (VS) can use docking to evaluate databases with millions of compounds to identify promising new molecules that could bind to a specific target of pharmacological interest, including GPCRs [4]. This strategy if often used to limit the amount of molecules that has to be tested experimentally and to reduce the cost in the identification of new lead molecules for drug development. This work reports a detailed comparison of the popular Autodock [5] and Vina [6] software programs in
图形抽象抽象。g蛋白偶联受体(gpcr)构成了一个结构相似的蛋白大家族,它们对多种生理和环境刺激作出反应,并包括许多治疗靶点。事实上,40%的现代药物被认为是靶向g蛋白偶联受体(gpcr)的,这使得这一大家族的蛋白质成为药物发现工作的一个特别有吸引力的靶点[1,2]。蛋白质-配体对接(protein -ligand docking)是一种试图预测配体与靶蛋白结合产生的结构并对其进行排序的计算方法[3]。虚拟筛选(Virtual screening, VS)可以利用对接来评估包含数百万种化合物的数据库,以识别有希望与特定药理靶点结合的新分子,包括gpcr[4]。这种策略通常用于限制必须进行实验测试的分子数量,并降低识别用于药物开发的新先导分子的成本。这项工作报告了流行的Autodock[5]和Vina[6]软件程序的详细比较
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引用次数: 0
Experimental and Computational Studies Addressed to 1,3-Dipolar Cycloadditions of D-Erythrose 1,3-Dioxane 1,5-Lactone with Regio- andStereo-selectivity 具有区域选择性和立体选择性的d -红酶1,3-二氧六环1,5-内酯的1,3-偶极环加成的实验和计算研究
C. Sousa, António J. M. Ribeiro, A. Fortes, N. Cerqueira, M. Alves
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引用次数: 0
Antibacterial activities of triterpenes from leaves of Cissus incisa 茜草叶片三萜的抑菌活性研究
Deyani Nocedo-Mena, E. Garza, Mauricio González-Ferrara, M. D. R. Camacho-Corona
Terpenoids play a crucial role in the performance of diverse ecological functions in response to biotic and abiotic factors. They are classified as secondary metabolism products. Among their functions are: be pollinating attractants, herbivore deterrents, insecticides / repellents, antibacterial compounds. Like many other natural products, they show biological activities, which have been exploited in the prevention and treatment of human diseases. As part of the phytochemical study performed on the Cissus incisa specie, the characterization using GC/MS of a triterpenes mixture of the chloroform / methanol 1:1 extract was carried out. In addition, the antibacterial activity was evaluated against nine strains of multi-resistant clinical isolates. As a result, C. incisa can be considered for further investigations as a source of compounds with antibacterial properties
萜类化合物在响应生物和非生物因子的多种生态功能中起着至关重要的作用。它们被归类为次级代谢产物。它们的功能包括:授粉引诱剂、食草动物驱避剂、杀虫剂/驱避剂、抗菌化合物。与许多其他天然产物一样,它们具有生物活性,已被用于预防和治疗人类疾病。作为茜草属植物化学研究的一部分,采用GC/MS对氯仿/甲醇1:1提取物的三萜混合物进行了表征。此外,还对9株临床多重耐药菌株进行了抗菌活性评价。因此,可以考虑作为具有抗菌性能的化合物的来源进行进一步的研究
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引用次数: 0
Triterpenoids identified by GC-MS in chloroform/methanol extract from leaves of Cissus incisa 用气相色谱-质谱法鉴定香山蛇叶片氯仿/甲醇提取物中的三萜
Deyani Nocedo-Mena, Mauricio González-Ferrara, M. D. R. Camacho-Corona
Cissus incisa is an endemic plant from Mexico and the southern United States. In traditional Mexican medicine it is used to treat respiratory and skin infections, although it has not been scientifically validated until now. The current study was undertaken primarily to investigate the phytochemistry composition of this plant. From GC/MS technique was identified several compounds, among them, series of triterpenoids. These compounds are widely distributed in the plant kingdom. They have been investigated for their biological activities, such as anticancer and antimicrobial.
茜草是墨西哥和美国南部的一种特有植物。在传统的墨西哥医学中,它被用来治疗呼吸道和皮肤感染,尽管直到现在它还没有得到科学的证实。目前的研究主要是为了研究这种植物的植物化学成分。通过GC/MS技术鉴定出多个化合物,其中包括一系列三萜化合物。这些化合物广泛分布于植物界。人们研究了它们的生物活性,如抗癌和抗菌。
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引用次数: 0
Portfolio optimization with incorporation of preferences and many criteria 结合偏好和许多标准的投资组合优化
Efrain Solares, E. Fernández, Jorge Navarro
Graphical Abstract Insert grafical abstract figure here Abstract. Portfolio optimization is one of the most addressed areas in operational research, mainly because of its practical relevance and interesting theoretical challenges. Recently, Solares et al . (2018) have proposed using probabilistic confidence intervals as criteria to select the most convenient portfolio. An approach following this idea allows the investor to consider not only the expected impact of the portfolios but also the risk of not obtaining that expected impact. Moreover, it identifies the behavior of the investor in presence of risk and gives her/him support depending on her/his own preferences. On the other hand, there are situations where the investor is not satisfied with the knowledge provided by probabilistic information (e.g., such information is precarious or the investor gives importance to other information, such as financial data). In this case, the investor may be interested in considering many criteria in order to select the most convenient portfolio.
在此插入图形抽象图形。投资组合优化是运筹学中最受关注的领域之一,主要是因为它具有实际的相关性和有趣的理论挑战。最近,Solares等人。(2018)提出使用概率置信区间作为选择最方便的投资组合的标准。遵循这一思想的方法允许投资者不仅考虑投资组合的预期影响,而且考虑无法获得预期影响的风险。此外,它识别投资者在存在风险时的行为,并根据他/她自己的偏好给予他/她支持。另一方面,投资者对概率信息所提供的知识并不满意(例如,这种信息是不稳定的,或者投资者重视其他信息,如财务数据)。在这种情况下,投资者可能有兴趣考虑许多标准,以选择最方便的投资组合。
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引用次数: 0
3D-PP: a tool for discovering conserved 3D protein patterns 3D- pp:发现保守的3D蛋白质模式的工具
Alejandro Valdés-Jiménez, Josep-L. Larriba-Pey, M. Reyes-Parada, Gabriel Núñez-Vivanco
Most of drugs interact with more than one molecular target. This fact typically would be seen like as an undesired feature of a pharmacological treatment, however, current trends in drug discovery has put hope and several efforts in the improved efficiency and efficacy that have been showed by some promiscuous drugs. Indeed, several approaches for predict the polypharmacological profile of drugs have been recently developed. In this line, the structure of proteins has gained special interest. The structure of proteins is several times more conserved than their sequence. Moreover, even in those cases where a close evolutionary relationship exists between two proteins, it is possible that their global structures are not conserving, and only share partial three-dimensional (3D) patterns, which define in most cases, their biological functions. Interestingly, several tools have been developed for the identification of similar 3D patterns, however, usually demand a known query or only consider the observed data (e.g. orthosteric binding sites in PDB, annotated motif, known ligands, etc.). Nevertheless, some approaches shows that 3D amino acids conservation is a enough prove for consider these residues as part of an active site or a binding site of a protein structure, even when no prior knowledge of functional residues are available. Thus, considering all unknown or unobserved 3D patterns (e.g. allosteric binding sites), for the discovery, search and characterization of putative common binding sites between a set of protein structures, cold be more informative than explore only known sites. Here, we present 3D-PP, a new free access web server to discover all conserved 3D amino acid patterns among a set of protein structures including those coming from both, X-ray crystallographic experiments and in silico comparative modelling. The preprocessing modules of 3D-PP were developed in Python and all data generated are processed and organized automatically in a scalable high-performance graph database. References (1–5) 1. Anighoro A, Bajorath J, Rastelli G. Polypharmacology: Challenges and Opportunities in Drug Discovery. J Med Chem [Internet]. 2014;dx.doi.org/10.1021/jm5006463. Available from: http://www.ncbi.nlm.nih.gov/pubmed/24946140 2. Konc J, Janežic D. Binding site comparison for function prediction and pharmaceutical discovery. Curr Opin Struct Biol [Internet]. 2014 Apr [cited 2014 Sep 3];25:34–9. Available from: http://www.ncbi.nlm.nih.gov/pubmed/24878342 3. Nadzirin N, Gardiner EJ, Willett P, Artymiuk PJ, Firdaus-Raih M. SPRITE and ASSAM: Web servers for side chain 3D-motif searching in protein structures. Nucleic Acids Res. 2012;40(W1). 4. Martinez-bazan N, Muntes-mulero V, Gomez-villamor S. DEX : High-Performance Exploration on Large Graphs for Information Retrieval. Artif Intell [Internet]. 2007;573–82. Available from: http://portal.acm.org/citation.cfm?doid=1321440.1321521 5. Nunez-Vivanco G, Valdes-Jimenez A, Besoain F, Reyes-Parada
大多数药物与不止一个分子靶标相互作用。这一事实通常会被视为药理学治疗的一个不希望的特征,然而,目前的药物发现趋势已经带来了希望,并在一些混杂药物中显示出了提高效率和疗效的努力。事实上,最近已经开发了几种方法来预测药物的多药理学特征。在这方面,蛋白质的结构获得了特别的兴趣。蛋白质的结构比它们的序列保守好几倍。此外,即使在两种蛋白质之间存在密切进化关系的情况下,它们的整体结构也可能不是守恒的,而只是共享部分三维(3D)模式,这在大多数情况下定义了它们的生物功能。有趣的是,已经开发了几种用于识别类似3D模式的工具,然而,通常需要已知的查询或仅考虑观察到的数据(例如PDB中的正交结合位点,注释基序,已知配体等)。然而,一些方法表明,即使没有功能残基的先验知识,3D氨基酸守恒也足以证明这些残基是蛋白质结构的活性位点或结合位点的一部分。因此,考虑到所有未知或未观察到的3D模式(例如变构结合位点),对于一组蛋白质结构之间假定的共同结合位点的发现,搜索和表征,可能比仅探索已知位点更有信息量。在这里,我们提出了3D- pp,一个新的免费访问web服务器,用于发现一组蛋白质结构中所有保守的3D氨基酸模式,包括来自x射线晶体学实验和计算机比较建模的蛋白质结构。3D-PP的预处理模块是用Python开发的,所有生成的数据都在一个可扩展的高性能图形数据库中自动处理和组织。参考文献(1 - 5) 张建军,张建军,张建军,等。多药联用技术在药物研发中的应用。医学化学[Internet]。2014; dx.doi.org/10.1021/jm5006463。可从:http://www.ncbi.nlm.nih.gov/pubmed/24946140。孔建军,Janežic .结合位点的比较与功能预测及药物发现。当前观点结构生物学[Internet]。2014 Apr[引2014 Sep 3]; 25:34-9。可从:http://www.ncbi.nlm.nih.gov/pubmed/24878342。李建军,李建军,李建军,李建军,李建军。基于Web服务器的蛋白质侧链三维基序搜索。核酸学报,2012;40(1)。4. 张建军,张建军,张建军。基于大图的信息检索方法研究[j]。Artif intel[互联网]。2007; 573 - 82。可从:http://portal.acm.org/citation.cfm?doid=1321440.1321521。张建军,张建军,李建军,等。基于gis的三维蛋白质结构特征识别方法研究。化工学报,2016;8(1)。
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引用次数: 1
Incidence of the use of didactic material for students with hearing disability at the basic intercultural education center of deaf 聋人基础跨文化教育中心听力障碍学生教材使用情况调查
Viviana Quevedo, Bernabé Ortega-Tenezaca
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引用次数: 0
From All Atom to Coarse Grain: Molecular Dynamic Simulation of Imprinting Process on a Silica Xerogel 从全原子到粗粒:二氧化硅干凝胶印迹过程的分子动力学模拟
R. Concu, M. Cordeiro
Molecular imprinted polymers (MIP
分子印迹聚合物(MIP
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引用次数: 0
期刊
Proceedings of MOL2NET 2018, International Conference on Multidisciplinary Sciences, 4th edition
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