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PANELFIT-LAWSci-02 Workshop: H2020 Challenges in Law, Technology, Life, and Social Sciences PANELFIT-LAWSci-02研讨会:2020年法律、技术、生命和社会科学的挑战
A. Duardo-Sánchez, I. D. M. Beriain, C. Casabona
Dear colleagues worldwide,Welcome to the workshop PANELFIT-LAWSci-02, H2020 Challenges in Law, Technology, Life, and Social Sciences; which was held from 2018-Nov-01 to 2019-Jan-25, MDPI AG, SciForum Platform, Basel, Switzerland. This workshop is associated to the European Commission Project PANELFIT H2020. In this sense, the workshop series will help to attract the attention of the pubic worldwide over the topics of the project. The project is concerned about changes in the regulation of ICT research and innovation are opening up a new scenario. It is expected that stakeholders, policy makers, and end users adapt to them as soon as possible. This, however, might be hard, especially for SMEs. PANELFIT is firmly committed to facilitating this adaptation process by producing a set of editable, open access Guidelines, validated by two data protection agencies. Once produced, they will serve as operational standards able to reduce the ethical and legal issues posed by ICT technologies while promoting innovation and market growth, enabling high-quality job creation and ensuring an adequate level of privacy and security/cybersecurity. Furthermore, we will produce a complementary set of six outcomes to 1) suggest possible concrete improvements to the current regulatory and governance framework, both at the EU and the national level, 2) create mutual learning and support tools and to promote networking among stakeholders and policy makers and 3) increase the quantity and quality of the information available to policy makers, professionals, researchers, journalists and the public. All these outcomes will be produced by a co-creation process involving policy makers, stakeholders, and end-users. They will all participate in the creation of the main outcomes of the project through a range of engagement activities that includes workshops, public consultations, encounters, surveys, etc. This will be combined with a strong communication and dissemination strategy that includes numerous activities, such as webinars, MOOC courses, public debates, a constant use of a web site and social networks and the creation of a Platform for Mutual Learning, which is meant to become the reference forum for the discussion of the issues at stake even after the end of the project. The participation in PANELFIT of the European Data Journalism Network, with an aggregated web audience of almost 70 million monthly visits will help us reach this aim.In this sense, LAWSci workshop series associated this year to PANELFIT Project in order to promote multidisciplinary collaborations and debate in the frontiers of Law, Technology, Life, and Social Sciences. The interaction between bio-science and ICTs has forged great developments in many fields. However, the appreciation of these discoveries is sadly, all too often, accompanied by a lack of understanding of the legal implications. This conference series aims to provide a reference to the various legal avenues that are available for the p
欢迎参加“2020法律、技术、生命和社会科学的挑战”研讨会。会议于2018年11月1日至2019年1月25日在瑞士巴塞尔科学论坛平台MDPI AG举行。本次研讨会与欧盟委员会项目PANELFIT H2020有关。从这个意义上说,该系列讲习班将有助于吸引全世界公众对该项目主题的关注。该项目关注的是信息通信技术研究和创新监管的变化正在开辟一个新的场景。期望涉众、政策制定者和最终用户尽快适应它们。然而,这可能很难,尤其是对中小企业而言。PANELFIT坚定地致力于通过制作一套可编辑的、开放获取的指南来促进这一适应过程,并由两个数据保护机构验证。一旦制定,这些标准将作为操作标准,能够减少信息和通信技术带来的道德和法律问题,同时促进创新和市场增长,创造高质量的就业机会,并确保适当的隐私和安全/网络安全水平。此外,我们将提出一套补充的六项成果:1)在欧盟和国家层面对当前的监管和治理框架提出可能的具体改进建议;2)创建相互学习和支持工具,促进利益相关者和政策制定者之间的网络;3)提高政策制定者、专业人士、研究人员、记者和公众可获得信息的数量和质量。所有这些成果都将通过涉及决策者、利益相关者和最终用户的共同创造过程产生。他们都将通过一系列参与活动,包括研讨会、公众咨询、会面、调查等,参与项目主要成果的创建。这将与强有力的沟通和传播战略相结合,其中包括许多活动,如网络研讨会、MOOC课程、公开辩论、不断使用网站和社交网络,以及创建一个相互学习的平台,该平台旨在成为讨论利害攸关问题的参考论坛,即使在项目结束后。欧洲数据新闻网(European Data Journalism Network)的PANELFIT每月的总访问量接近7000万,加入该组织将有助于我们实现这一目标。从这个意义上讲,今年LAWSci系列研讨会与PANELFIT项目有关,以促进法律、技术、生命和社会科学领域的多学科合作和辩论。生物科学与信息通信技术的相互作用在许多领域取得了巨大的发展。然而,可悲的是,对这些发现的欣赏往往伴随着对法律含义的缺乏理解。本系列会议的目的是为保护科学进步提供各种可用的法律途径,以及保护社会免受不良影响的法律文书提供参考。它包括对生物科学和信息通信技术进步的一些法律影响的研究,权衡它们对社会的影响以及法律在形成这种影响方面的作用。讲座将重点介绍不同领域的法律趋势,包括但不限于:植物和人类基因组学的可专利性、临床程序标准、患者个人数据保护、知情同意、药物发现中的监管问题、生物医学研究立法、毒理学、医疗事故、医疗保险或医疗实践中的伦理等医疗法律问题、化学信息学、生物信息学、医学信息学和社会科学中的软件保护、生物技术产业的税收和环境污染、犯罪学等方面的因果关系/责任。会议将在线免费运行,节省差旅和参会费用(订阅、公开发表、参加论坛、证书等均免费)。
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引用次数: 1
Characterization and overexpression of a glucanase from a newly isolated B. subtilis strain 一株新分离枯草芽孢杆菌葡聚糖酶的鉴定和过表达
Houda Hmani, L. Daoud, M. Ali, Adel Haj Brahim, Mouna Jlidi, S. Bejar, Mamdouh Ben Ali
Glucanases are enzymes that hydrolysis glucans which are the major cell wall components in cereals. Newly isolated bacteria assigned as Bacillus subtilis HB2, produces a monomeric glucanase (GLU HB2) of a molecular mass of 75 kDa. GLU HB2 has an optimal activity at pH 5 and 55 °C. It is extremely stable at a broad range of pH and temperature up to 65 °C, in presence of 5 mM of CaCl2. In order to overcome the enzymatic inhibition problem observed in wild-type strains, GluHB2 gene was integrated into the genome of B. subtilis HB2 and the recombinant strain was named HB2G. The correlation of glucanase production with bacterial growth shows that the level of expression of HB2G remains low and relatively comparable to the wild-type strain. But in terms of productivity, the HB2G strain is more productive throughout bacterial culture. This low production and growth of the recombinant strain can be attributed to the toxicity of the overexpression of the glucanase gene under a constitutive promoter.
葡聚糖酶是水解谷物细胞壁主要成分葡聚糖的酶。新分离的细菌被命名为枯草芽孢杆菌HB2,产生一种分子量为75 kDa的单体葡聚糖酶(GLU HB2)。GLU HB2在pH 5和55℃条件下具有最佳活性。它在广泛的pH范围和高达65°C的温度下非常稳定,存在5mm的CaCl2。为了克服野生型菌株存在的酶抑制问题,将GluHB2基因整合到枯草芽孢杆菌HB2基因组中,重组菌株命名为HB2G。葡萄糖酶产量与细菌生长的相关性表明,HB2G的表达水平仍然很低,与野生型菌株相对相当。但就生产力而言,HB2G菌株在整个细菌培养过程中都具有更高的生产力。重组菌株的低产量和生长可归因于在组成启动子下葡聚糖酶基因的过度表达的毒性。
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引用次数: 0
MOL2NET: FROM MOLECULES TO NETWORKS (PROC. BOOK), ISBN: 978-3-03842-820-6, 2019, Vol. 4, 2985 pp. MOL2NET:从分子到网络(PROC. BOOK), ISBN: 978-3-03842-820- 6,2019,第4卷,2985页。
H. González-Díaz, S. Arrasate, N. Sotomayor, E. Lete, F. Cossío, M. Sylla, D. Bonchev, S. Basak, D. Quesada, Irina Moreia, A. Duardo-Sánchez, A. Reitz, M. Fiandaca, J. Chou, M. Scotti
Conference: Proceedings of the conference MOL2NET International Conference on Multidisciplinary Sciences (4th edition), 2018 is part of a year-round worldwide conference series hosted by MDPI Sciforum, Basel, Switzerland. This conference series has had organized more than 20 associated workshop series in universities worldwide: USA, France, Portugal, Spain, China, Chile, Brazil, India, etc. These workshop series run in person and/or online. Some of these workshops are the SRI-10 St Thomas University (STU)- Miami Dade College (MDC), Miami, USA; USINEWS-02 University of Minnesota, USA; BIOCHEMPHYS-01 CNAM, Paris, France; WCUCW, West Coast University, Miami, USA; IWMEDIC UDC, Coruna, Spain, LAWSCI-02, UPV/EHU, Bilbao, Spain, etc. Workshops allow both in person and/or online only publication of papers, research highlights of previous papers, letters, short reviews, etc. Topics: The topics are multidisciplinary covering, but not limited to, Chemistry (All areas), Physics, Biology, Ecology, Statistics, Bioinformatics, Education, Nanotechnology, Materials, Computational, Complex Networks, Legal, and Social sciences, etc. Statistics: This edition hosted >10 workshops that attracted >300 communications submitted by >700 authors. We organized 7 special issues published in JCR journals (MDPI editorial) such as Molecules, Entropy, and Appl. Sci. We also organized 3 bootcamps, hand-training, or capstone courses in MDC, Miami, WCU Miami, and UPV/EHU Bilbao. Proceedings Book: The present book of proceedings have been released in two versions. The first is a short version without communications including links to online versions of all communications (only 94 pages). The second one is the long version including full text of all communications and abstracts (2985 pages). Download short version from MDPI AG Sciforum publisher link: https://sciforum.net/paper/view/conference/6143. We released long versiong to Researchgate public repository: https://www.researchgate.net/project/Mol2Net-conf-series. Thank you very much to all colleagues for your kind support.
2018年MOL2NET国际多学科科学会议(第四版)是由MDPI科学论坛在瑞士巴塞尔主办的全年全球会议系列的一部分。该系列会议已在美国、法国、葡萄牙、西班牙、中国、智利、巴西、印度等世界各地的大学组织了20多个相关系列研讨会。这些研讨会系列可以亲自或在线进行。其中一些讲习班是SRI-10圣托马斯大学(STU)-迈阿密戴德学院(MDC),美国迈阿密;美国明尼苏达大学;生物化学物理-01 CNAM,法国巴黎;美国迈阿密西海岸大学WCUCW;IWMEDIC UDC,西班牙科鲁尼亚,LAWSCI-02, UPV/EHU,西班牙毕尔巴鄂等。研讨会允许亲自和/或在线发表论文,以前论文的研究亮点,信件,简短评论等。主题:主题涵盖但不限于:化学(所有领域)、物理学、生物学、生态学、统计学、生物信息学、教育、纳米技术、材料、计算、复杂网络、法律和社会科学等。统计:本次活动共举办了超过10场研讨会,吸引了超过700位作者提交了超过300篇论文。我们组织了《分子》、《熵》、《应用》等JCR期刊(MDPI社论)的7期专刊。科学。我们还在MDC,迈阿密,WCU迈阿密和UPV/EHU毕尔巴鄂组织了3个训练营,手工训练或顶点课程。诉讼记录册:本诉讼记录册有两个版本。第一个是一个简短的版本,没有通信,包括链接到所有通信的在线版本(只有94页)。第二份是包含所有通讯和摘要全文的长版本(2985页)。从MDPI AG Sciforum出版商链接:https://sciforum.net/paper/view/conference/6143下载简短版本。我们在Researchgate公共存储库:https://www.researchgate.net/project/Mol2Net-conf-series上发布了长版本。非常感谢各位同事的支持。
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引用次数: 1
Machine learning techniques and the identification of new potentially active compounds against Leishmania infantum. 机器学习技术和鉴定新的潜在活性化合物对抗幼利什曼原虫。
Naivi Flores Balmaseda, Susana Rojas Socarrás, J. A. C. Garit
Leishmaniasis is defined as a set of diseases of very varied clinical presentation produced by obligate intracellular parasites belonging to the genus Leishmania. They have been classified by the World Health Organization in category I of infectious diseases and are part of neglected tropical pathologies. Leishmania infantum mainly affects children under five years of age and has been associated with an increase in the appearance of cutaneous and visceral leishmaniasis. The search for new therapeutic alternatives remains a challenge and in silico studies are alternative tools to solve this problem. With the main objective of identify potentially effective compounds against Leishmania infantum through in silico studies, artificial Intelligence techniques implemented in the WEKA program and molecular descriptors 0D-2D of DRAGON software are used in this research. A new database was created and the clusters analysis (AC) k-means was used to design the training and prediction series. Four models were obtained with the following techniques: IBk, J48, MLP and SMO that reached percentages of classification higher than 80% for training and prediction series, whose predictive power was confirmed through external and internal validation procedures. The use of the models obtained in the virtual screening of the international database DrugBank and synthesis compounds allowed the optimal identification of 120 new potentially active compounds against Leishmania infantum amastigote form.
利什曼病被定义为由利什曼属专性细胞内寄生虫产生的一组临床表现非常不同的疾病。它们已被世界卫生组织列为第一类传染病,是被忽视的热带疾病的一部分。婴儿利什曼原虫主要影响五岁以下儿童,并与皮肤和内脏利什曼病的出现增加有关。寻找新的治疗方案仍然是一个挑战,而计算机研究是解决这一问题的替代工具。本研究的主要目的是通过计算机研究鉴定抗利什曼原虫的潜在有效化合物,在WEKA程序中实现的人工智能技术和DRAGON软件的分子描述符0D-2D被用于本研究。建立了一个新的数据库,并使用聚类分析(AC) k-means来设计训练和预测序列。采用IBk、J48、MLP和SMO四种技术对训练序列和预测序列的分类率均达到80%以上,并通过外部和内部验证程序确认了其预测能力。利用在国际数据库DrugBank和合成化合物的虚拟筛选中获得的模型,可以对120种新的抗利什曼原虫无马鞭毛体形式的潜在活性化合物进行最佳鉴定。
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引用次数: 1
Analysis of chemical composition of Cissus incisa leaves by GC/MS 气相色谱/质谱联用分析茜草叶片化学成分
Deyani Nocedo-Mena, Mauricio González-Ferrara, M. D. R. Camacho-Corona
The human being since ancient times has sought in plants to cure their various diseases. The plants used for traditional medicine contain a wide range of substances that can be used to treat chronic and infectious diseases. Phytochemical researchers have great interest in the selection of medicinal plants for new therapies. In the present study, the bioactive components of the leaves of Cissus incisa have been identified using gas chromatography-mass spectrum (GC-MS). Sixteen compounds were identified in hexane extract. β-Sitosterol (19.445%) was the predominant compound in the hexane extract, which is a well-known biologically active compound. All compounds are reported for the first time in the species. The present investigation is the base for a later phytochemical study. With which it is possible to isolate different metabolites of biological interest.
自古以来,人类就寻求用植物来治疗各种疾病。用于传统医药的植物含有多种可用于治疗慢性和传染性疾病的物质。植物化学研究人员对药用植物的选择产生了浓厚的兴趣。本研究采用气相色谱-质谱联用技术(GC-MS)对仙桃叶中的生物活性成分进行了鉴定。从己烷提取物中鉴定出16个化合物。β-谷甾醇(19.445%)为己烷提取物中的主要化合物,是一种众所周知的生物活性化合物。所有化合物均为首次在该物种中报道。本研究为以后的植物化学研究奠定了基础。用它可以分离出不同的生物代谢物。
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引用次数: 0
Assessing the effect of calcium and magnesium ions in the structural stability of the protein kinase A through molecular dynamics simulations 通过分子动力学模拟评估钙、镁离子对蛋白激酶A结构稳定性的影响
J. A. Morales, Jocelyn Solorza, Rodrigo Recabarren
Protein kinase A (PKA) is part of the big family of protein kinases, whose role consists in catalyzing the transfer of a phosphate group from an ATP molecule to a peptide substrate. While Mg2+ is the preferred cofactor in kinases, it has been proven experimentally than other divalent metals such as Ca2+ can also promote the phosphoryl transfer but not with the same efficiency achieved with Mg2+. Recent crystallographic and kinetic data for PKA have shown that the presence of Ca2+ would allow the transfer of a phosphate group from ATP to the substrate SP20 but the products would be trapped at the active site of the enzyme. Based on these experimental results, the main goal of this research was to determine how the retention of the products occurs and to identify which interactions in the presence of Ca2+ overstabilize the final state of the catalysis in PKA. In order to get a better understanding of these events, PKA in its product state was evaluated through molecular dynamics simulations using two previously crystallized systems, one using the ion Mg2+ as a cofactor, and other using the Ca2+ ion. The results obtained suggest that the stable coordination of seven ligands around Ca2+ not only allows to the phosphorylated substrate to coordinate Ca1, but also Ca2, interaction not present in the crystal structure. By means of structural analysis, it was corroborated that in PKA with Ca2+ there is a reduced mobility of the glycine-rich loop, moiety whose function is to cover the active site by hydrogen bonds that interact with the phosphorylated substrate. In this way, it was identified that the residues Thr51 and Ser53 located in this loop form hydrogen bonds with the substrate pSP20 which are more stable in the system with Ca2+ compared to Mg2+. These results were supported by binding energy calculations, using the MMPBSA method. Overall, this information provides a better understanding of the structural mechanism by which Ca2+ inhibits the activity of protein kinase A and gives new insights into the possible regulatory mechanism of Ca2+ on protein kinases.
蛋白激酶A (PKA)是蛋白激酶大家庭的一员,其作用是催化磷酸基团从ATP分子转移到肽底物。虽然Mg2+是激酶中首选的辅助因子,但实验证明,与其他二价金属(如Ca2+)相比,Mg2+也可以促进磷酸化转移,但效率不如Mg2+。最近的PKA晶体学和动力学数据表明,Ca2+的存在将允许磷酸基团从ATP转移到底物SP20,但产物将被困在酶的活性位点。基于这些实验结果,本研究的主要目标是确定产物的保留是如何发生的,并确定在Ca2+存在下哪些相互作用过度稳定了PKA中催化的最终状态。为了更好地理解这些事件,通过分子动力学模拟评估了PKA的产物状态,使用了两个先前结晶的系统,一个使用离子Mg2+作为辅助因子,另一个使用Ca2+离子。结果表明,Ca2+周围7个配体的稳定配位,不仅使磷酸化底物能够配位Ca1,而且还能与晶体结构中不存在的Ca2相互作用。通过结构分析,证实了在Ca2+的PKA中,富含甘氨酸的环的迁移率降低,该环的功能是通过与磷酸化底物相互作用的氢键覆盖活性位点。通过这种方法,鉴定出位于该环上的残基Thr51和Ser53与底物pSP20形成氢键,与Mg2+相比,在Ca2+体系中更稳定。这些结果得到了MMPBSA方法的结合能计算的支持。总的来说,这些信息提供了Ca2+抑制蛋白激酶a活性的结构机制的更好理解,并为Ca2+对蛋白激酶的可能调节机制提供了新的见解。
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引用次数: 0
Assessing the halophilic character of ADP-dependent sugar kinases from the archeon order Methanosarcinales 甲藻目adp依赖性糖激酶嗜盐性的评价
Pablo A Cea, F. González-Ordenes, V. Castro-Fernández, V. Guixé
Halophilic organisms have evolved to live in environments of high salinity, therefore theirmolecular machinery has adapted to carry out its functions in presence of molar concentrations ofsalt. Most of the work aimed to understand the structural adaptations of these proteins has beendone using proteins from the archeon class Halobacteria. Proteins from these organisms arecharacterized by a low abundance of basic residues and a high amount of acidic residues, whichaccumulate on the protein surface, coupled with a reduction of bulky hydrophobic residues in itscore [1]. Nevertheless, halophilic organisms have been reported in a wide variety of taxa, includingother archaea orders, which their adaptation mechanisms have not been explored. To evaluate theubiquity of the protein structural adaptations found in Halobacteria, we built homology modelsof ADP-dependent kinases from halophilic and non-halophilic organisms of the archaeal orderMethanosarcinales and compared them to models from Halobacterial and Eucariotic proteins.Our results show that proteins from halophilic organisms of the Methanosarcinales order do notshow the classical bias in amino acid composition observed in Halobacteria, like the reduction ofthe hydrophobic core and negative surface charge. However, experimental characterization of theADP-dependent phosphofructokinase of the halophilic organism Methanohalobium evestigatum(from Methanosarcinales order) confirmed that the protein is indeed halotolerant, and thischaracter can be further exacerbated in presence of osmolytes commonly found on halophilicarchaea, like betaine [2]. These results suggest that the adaptations required to maintain thestructure and function of a protein in extreme salt concentrations can vary widely betweendifferent organisms. These adaptations do not rely exclusively on the amino acidic composition,being instead a product of the coevolutionary process between the protein and its intracellularenvironment. Fondecyt 1150460 References [1] Graziano, G., a Merlino, A. (2014). Molecular bases of protein halotolerance. Biochimica et Biophysica Acta(BBA) - Proteins and Proteomics, 1844(4), 850–858[2] Sowers, K. R., a Gunsalus, R. P. (1995). Halotolerance in Methanosarcina spp.: Role of N (sup (epsilon))-Acetyl-(beta)-Lysine,(alpha)-Glutamate, Glycine Betaine, and K (sup+) as Compatible Solutes for OsmoticAdaptation. Applied and environmental microbiology, 61(12), 4382-4388.
嗜盐生物已经进化到可以生活在高盐度的环境中,因此它们的分子机制已经适应了在盐的摩尔浓度下执行其功能。大多数旨在了解这些蛋白质的结构适应性的工作都是利用来自嗜盐菌纲的蛋白质完成的。来自这些生物的蛋白质具有低丰度的碱性残基和大量的酸性残基的特征,这些残基在蛋白质表面积累,并且其分数中大量疏水残基的减少[1]。尽管如此,据报道,在包括其他古菌目在内的各种分类群中都发现了嗜盐生物,但它们的适应机制尚未得到探索。为了评估在盐细菌中发现的蛋白质结构适应性的普遍性,我们从嗜盐和非嗜盐的古细菌目methanosarcinales中建立了adp依赖性激酶的同源模型,并将它们与盐细菌和真核细菌的蛋白质模型进行了比较。我们的研究结果表明,来自Methanosarcinales目的嗜盐生物的蛋白质不表现出在盐杆菌中观察到的氨基酸组成的经典偏倚,如疏水核心的减少和表面负电荷的减少。然而,对嗜盐菌Methanohalobium evestiatum(来自Methanosarcinales目)的adp依赖性磷酸果糖激酶的实验表征证实,该蛋白确实具有耐盐性,并且在嗜盐古菌中常见的渗透物(如甜菜碱)存在时,这种特性会进一步加剧[2]。这些结果表明,在极端盐浓度下维持蛋白质结构和功能所需的适应性在不同的生物体之间差异很大。这些适应并不完全依赖于氨基酸组成,而是蛋白质与其细胞内环境共同进化过程的产物。[1] Graziano, G., a . Merlino, a .(2014)。蛋白质耐盐性的分子基础。[2]张建军,张建军,张建军,等(1995).生物化学与生物物理学报,1844(4),850-858。Methanosarcina的耐盐性:N (sup (epsilon))-乙酰-(β)-赖氨酸,(α)-谷氨酸,甘氨酸甜菜碱和K (sup+)作为渗透适应的相容溶质的作用。微生物学通报,2011(6),482 - 488。
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引用次数: 0
A review of some methods that incorporate decision-maker preferences in multi-objective evolutionary optimization using a multi-criteria classification method 综述了基于多准则分类的多目标进化优化中包含决策者偏好的几种方法
J. P. Sánchez-Solís, E. Fernández, L. Cruz-Reyes, Gilberto Rivera-Zarate, Luis Cisneros
In the real world there are many problems which involve the optimization of multiple objective functions at the same time. These are known as Multi-objective Optimization Problems (MOPs). Solving this kind of problems implies generating a set of good solutions, commonly known as Pareto-optimal solutions. The Multi-Objective Evolutionary Algorithms (MOEAs) have been extensively used to address this type of problems, since it allowing to get a set of the Pareto solutions in a particular run. Nevertheless, finding this solution set does not resolve the problem since the Decision-Maker (DM) still must select from that set the solution that matches more with his/her preferences. Determine the Region of Interest (RoI), in accordance with the DM’s preferences, is an option that would make easy the selection process. The RoI has been defined as the region on the Pareto frontier which suits better to the DM's preferences. In order to help the DM in the selection process, different approaches in literature have added preferential information into the optimization process to lead the search towards the RoI. Such is the case of the approach presented by (Cruz-Reyes et al., 2017) called Hybrid Multi-Criteria Sorting Genetic Algorithm (H-MCSGA). This method addresses the preferences incorporation a priori into a MOEA to characterize the RoI by a multicriteria sorting method called THESEUS (Fernandez et al., 2011). H-MCSGA consists by two phases. First, a metaheuristic is used to create a set of solutions (reference set) that are assigned to ordered classes by the DM. The objective of this process is that the DM's preferences are indirectly reflected in this set. In the second phase, THESEUS is incorporated into an evolutionary algorithm to sort the new solutions created during optimization process. For this, THESEUS uses the reference set, generating selective pressure in the direction of the RoI. The performance of H-MCSGA was verified using nine instances of a public project portfolio problem. The achieve results show that H-MCSGA reach a good definition of the RoI and outperforms the well-known NSGA-II (Deb et al., 2002). A first interactive version of the H-MCSGA is presented in (Cruz-Reyes et al., 2014), where the reference set is updated, only once, while exploration process. Consequently, the DM’s preferences are updated. In examples on the portfolio problem, this proposal maintains its superiority over the NSGAII. Finally, an interactive method more robust is proposed in (Cruz-Reyes et al., 2016) called the Interactive Multi-Criteria Sorting Genetic Algorithm (I-MCSGA). This method allows the DM to assimilate progressively respecting the problem and to clarify his/her preferences. I-MCSGA was assessed on project portfolio optimization problems. This algorithm was measure against with NSGA-II in three and four objectives problems and in nine and sixteen objectives problems with A2-NSGA-III (Jain, Deb, 2013). I-MCSGA presented better outcomes than
在现实世界中,有许多问题同时涉及多个目标函数的优化问题。这就是所谓的多目标优化问题(MOPs)。解决这类问题意味着产生一组好的解决方案,通常被称为帕累托最优解决方案。多目标进化算法(moea)已被广泛用于解决这类问题,因为它允许在特定运行中获得一组Pareto解。然而,找到这个解决方案集并不能解决问题,因为决策者(DM)仍然必须从这个解决方案集中选择更符合他/她偏好的解决方案。根据DM的偏好确定感兴趣的区域(RoI),这是一个可以简化选择过程的选项。投资回报率被定义为帕累托边界上更适合决策制定者偏好的区域。为了在选择过程中帮助决策制定者,文献中不同的方法在优化过程中加入了优先信息,从而引导搜索向RoI方向发展。这就是(Cruz-Reyes等人,2017)提出的称为混合多标准排序遗传算法(H-MCSGA)的方法的情况。该方法通过称为THESEUS的多标准分类方法,解决了将先验偏好纳入MOEA以表征RoI的问题(Fernandez等人,2011)。H-MCSGA由两个阶段组成。首先,使用元启发式方法创建一组解决方案(参考集),这些解决方案(参考集)由DM分配给有序类。此过程的目标是DM的偏好间接反映在该集合中。在第二阶段,THESEUS被整合到一个进化算法中,对优化过程中产生的新解进行排序。为此,THESEUS使用参考集,在RoI方向上产生选择性压力。使用9个公共项目组合问题实例验证了H-MCSGA的性能。研究结果表明,H-MCSGA对RoI的定义很好,优于著名的NSGA-II (Deb et al., 2002)。在(Cruz-Reyes et al., 2014)中提出了H-MCSGA的第一个交互式版本,其中参考集在探索过程中仅更新一次。因此,DM的首选项被更新。在投资组合问题的实例中,该方法保持了相对于NSGAII的优越性。最后,在(Cruz-Reyes et al., 2016)中提出了一种更鲁棒的交互式方法,称为交互式多标准排序遗传算法(I-MCSGA)。这种方法可以让DM逐渐理解问题,并澄清他/她的偏好。对项目组合优化问题进行了I-MCSGA评估。该算法在3个和4个目标问题中与NSGA-II进行了比较,在9个和16个目标问题中与A2-NSGA-III进行了比较(Jain, Deb, 2013)。I-MCSGA在帕累托优势及其实现RoI的能力方面表现出比这些算法更好的结果。自动增强过程有效地将新解纳入参考集,帮助THESEUS提出更合适的分配。此外,当实际决策被(Fernandez et al., 2011)提出的偏好模型所取代时,所提出的交互更新偏好的过程仍然有效地验证了增强的参考集。因此,I-MCSGA显示了其识别RoI的能力,并有效地解决了具有少量和大量目标的优化问题。未来的研究方向应该是将实验扩展到真正的帕累托边界已知的问题,使用其他多标准分类方法,并与其他最新的moea进行比较。这样做的目的是更确定地验证这些方法的结果。
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引用次数: 0
Synthesis of some new diarylmethanes by McMurry coupling reaction: characterization and antibacterial activity McMurry偶联反应合成新二芳基甲烷:表征及抑菌活性
Ameni Hadj Mohamed, Meral Görmen, M. E. Arbi, Moncef Msaddek, M. S. Veitía
Diarylmethanes (DAMs) and triarylmethanes (TAMs), molecules bearing two or three aryl groups (phenyls or heterocycles) bonded to a central carbon atom, have numerous applications. The biological and therapeutic relevancy of this class of molecules has been demonstrated for various applications in the field of antimicrobials, infectious, cardiovascular and nervous system disorders, genital tract diseases, estrogen-related disorders and bone remodeling. These interesting compounds have also been used as starting materials for the development of high value-added molecules. We report here the synthesis of two new diarylmethanes using a McMurry coupling reaction as well as their antibacterial evaluation.
二芳基甲烷(dam)和三芳基甲烷(tam)是由两个或三个芳基(苯基或杂环)与中心碳原子结合而成的分子,具有广泛的应用。这类分子的生物学和治疗相关性已被证明在抗菌剂、传染病、心血管和神经系统疾病、生殖道疾病、雌激素相关疾病和骨重塑领域的各种应用。这些有趣的化合物也被用作开发高附加值分子的起始材料。本文报道了用McMurry偶联反应合成两种新的二芳基甲烷及其抗菌性能。
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引用次数: 1
Identification of new analgesic candidates through virtual in silico screening and in vivo experimental test. 通过虚拟计算机筛选和体内实验试验确定新的候选镇痛药。
Arelys López-Sacerio, Yudith Cañizarez Carmenate, J. Castillo-Garit
Currently, pain is closely linked to pathologies of high incidence worldwide. The in silico methods encompass all computer-aided techniques used in the design of compounds with desired properties, avoiding the high costs for the current tasks of synthesis and bioassays. In this sense, the fundamental objective of the present work is the identification of new analgesic candidates through virtual in silico screening using classification trees. For this purpose, a database of the literature is initially collected, and analgesic activity has been reported experimentally. Through the DRAGON software, a series of molecular descriptors were calculated and a Hierarchical Conglomerate Analysis (CAs) was performed in the STATISTICA software, allowing the separation of the initial database in training series and prediction series. Then we proceeded to obtain and validate the model used (Tree J48) through the WEKA software. Of these three compounds were evaluated experimentally in vivo with excellent results as analgesic drugs. In general, we can conclude that the use of these computational tools generates a great saving of resources with respect to traditional methods of analysis and also allows a rapid identification of compounds with a high probability that they are potential analgesics.
目前,疼痛与世界范围内高发病率的病理密切相关。计算机方法包括所有用于设计具有所需性能的化合物的计算机辅助技术,避免了当前合成和生物分析任务的高成本。从这个意义上说,目前工作的基本目标是通过使用分类树的虚拟计算机筛选来识别新的镇痛候选药物。为此目的,最初收集了文献数据库,并通过实验报道了镇痛活性。通过DRAGON软件计算一系列分子描述符,并在STATISTICA软件中进行分层综合分析(Hierarchical Conglomerate Analysis, CAs),使初始数据库在训练序列和预测序列中分离。然后通过WEKA软件获取并验证所使用的模型(Tree J48)。这三种化合物作为镇痛药物在体内进行了实验评价,效果良好。总的来说,我们可以得出这样的结论:与传统的分析方法相比,使用这些计算工具可以大大节省资源,并且还可以快速识别具有高概率的潜在镇痛药的化合物。
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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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