A biased random-key genetic algorithm for data clustering

Cluster analysis aims at finding subsets (clusters) of a given set of entities, which are homogeneous and/or well separated.     

Maps, books and other metaphors for systems biology

We briefly review the use of metaphors in science and progressively focus on fields from biology and molecular biology to genomics and bioinformatics. We discuss how metaphors are both a tool for scientific exploration and a medium for public communication of complex subjects, by various short examples. Finally, we propose a metaphor for systems biology that provides an illuminating perspective for the ambitious goals of this field and delimits its current agenda.     

Individuation of monoclonal anti-HPV16 E7 antibody linear peptide epitope by computational biology

We applied computational biology to identify the linear amino acid sequence recognized by a mouse monoclonal antibody raised against the full length HPV16 E7 oncoprotein. Computer-assisted search for the epitopic peptide used two parameters: the capability of E7 peptides to bind to MHC class II molecules, and the similarity level of the oncoprotein sequence to the mouse proteome. We report that anti-E7 mAb recognized the peptide having both high binding potential to MHC II molecules and low level of molecular mimicry to mouse proteome. Peptide ability to bind to MHC II molecules appears a necessary but not sufficient condition to determine peptide immunodominance, by needing to be supported by a low degree of peptide similarity to the host’s proteome.     

Heat-labile proteases in molecular biology applications

Thermolabile proteases were identified in three Gram-negative psychrotrophic bacteria. The protease from the psychrotrophic strain A9 was purified and its application to common molecular biology techniques was demonstrated. Heat-stable molecular biology enzymes (Taq polymerase and PvuII) were digested by a heat-labile protease, which was then inactivated by a mild heat treatment. The clear benefit of using heat-labile proteases arises in situations where further reactions may be accomplished without an intermediate purification step, thereby saving time and avoiding the possibility of product loss.     

现代分子生物学技术在瘤胃微生态系统研究中的应用

瘤胃中栖息着大量的微生物,由于这些微生物组成复杂且有些细菌在体外无法培养,目前对这些微生物的了解仍然很少。现代分子生物学技术的发展为研究瘤胃微生物提供了有效的方法,利用核酸探针、基因序列分析、遗传指纹技术、全细胞杂交和实时定量PCR等技术可以对瘤胃微生物的分类及进化关系、区系结构图、重要酶的表达以及目的微生物的准确定量进行更为深入和透彻的研究。发展和利用这些技术不仅可以研究微生物之间的关系以及微生物与饲料颗粒之间时间与空间的关系,还能直接在细菌自然生长的环境中对其各种特征进行研究。     

结核分枝杆菌耐药性的分子生物学研究进展

结核病一直是世界性问题,我国其发病情况尤为严重,是亚洲的第二大结核病发病国家。结核病治疗方面常使用抗生素作为首选药物,随着抗菌药的滥用,结核杆菌对多种抗菌药产生耐药性,结核病耐药患者增多,治疗难度增加。因此,结核杆菌耐药分子机制的研究更加重要,新型抗结核药物研制更加迫切。结核分枝杆菌的基因突变是引起耐药的主要分子学依据,因此基于结核分枝杆菌耐药性相关基因的深入探索,对于预防结核病的传播及治疗皆具有深远影响。本文从分子生物学角度分析了近年来结核分枝杆菌耐药性产生的原因及相关研究进展。     

分子生物学方法在HIV-1病毒检测中的应用

人类免疫缺陷病毒（HIV）是获得性免疫缺陷综合征（AIDS）的病原体。根据血清学反应和核酸序列测定将HIV分为HIV-1和HIV-2两型,本研究就HIV-1基因的分子特征、HIV基因分型分类、HIV基因分型常用的方法、HIV-1病毒载量的分子生物学检测方法等方面进行讨论。     

MAMMOTH (matching molecular models obtained from theory): an automated method for model comparison

Advances in structural genomics and protein structure prediction require the design of automatic, fast, objective, and well benchmarked methods capable of comparing and assessing the similarity of low-resolution three-dimensional structures, via experimental or theoretical approaches. Here, a new method for sequence-independent structural alignment is presented that allows comparison of an experimental protein structure with an arbitrary low-resolution protein tertiary model. The heuristic algorithm is given and then used to show that it can describe random structural alignments of proteins with different folds with good accuracy by an extreme value distribution. From this observation, a structural similarity score between two proteins or two different conformations of the same protein is derived from the likelihood of obtaining a given structural alignment by chance. The performance of the derived score is then compared with well established, consensus manual-based scores and data sets. We found that the new approach correlates better than other tools with the gold standard provided by a human evaluator. Timings indicate that the algorithm is fast enough for routine use with large databases of protein models. Overall, our results indicate that the new program (MAMMOTH) will be a good tool for protein structure comparisons in structural genomics applications. MAMMOTH is available from our web site at http://physbio.mssm.edu/~ortizg/.     

Marine molecular biology: an emerging field of biological sciences

An appreciation of the potential applications of molecular biology is of growing importance in many areas of life sciences, including marine biology. During the past two decades, the development of sophisticated molecular technologies and instruments for biomedical research has resulted in significant advances in the biological sciences. However, the value of molecular techniques for addressing problems in marine biology has only recently begun to be cherished. It has been proven that the exploitation of molecular biological techniques will allow difficult research questions about marine organisms and ocean processes to be addressed. Marine molecular biology is a discipline, which strives to define and solve the problems regarding the sustainable exploration of marine life for human health and welfare, through the cooperation between scientists working in marine biology, molecular biology, microbiology and chemistry disciplines. Several success stories of the applications of molecular techniques in the field of marine biology are guiding further research in this area. In this review different molecular techniques are discussed, which have application in marine microbiology, marine invertebrate biology, marine ecology, marine natural products, material sciences, fisheries, conservation and bio-invasion etc. In summary, if marine biologists and molecular biologists continue to work towards strong partnership during the next decade and recognize intellectual and technological advantages and benefits of such partnership, an exciting new frontier of marine molecular biology will emerge in the future.     

Structure-based systems biology: a zoom lens for the cell

Systems biology seeks to explain complex biological systems, such as the cell, through the integration of many different types of information. Here, we discuss how the incorporation of high-resolution structural data can provide key molecular details often necessary to understand the complex connection between individual molecules and cell behavior. We suggest a process of zooming on the cell, from global networks through pathways to the precise atomic contacts at the interfaces of interacting proteins.     

From proteomes to complexomes in the era of systems biology

Protein complexes carry out almost the entire signaling and functional processes in the cell. The protein complex complement of a cell, and its network of complex–complex interactions, is referred to here as the complexome. Computational methods to predict protein complexes from proteomics data, resulting in network representations of complexomes, have recently being developed. In addition, key advances have been made toward understanding the network and structural organization of complexomes. We review these bioinformatics advances, and their discovery‐potential, as well as the merits of integrating proteomics data with emerging methods in systems biology to study protein complex signaling. It is envisioned that improved integration of proteomics and systems biology, incorporating the dynamics of protein complexes in space and time, may lead to more predictive models of cell signaling networks for effective modulation.     

Recent applications of Hidden Markov Models in computational biology

This paper examines recent developments and applications of Hidden Markov Models (HMMs) to various problems in computational biology, including multiple sequence alignment, homology detection, protein sequences classification, and genomic annotation.     

Studying populations without molecular biology: Aster Models and a new argument against reductionism

During the past few decades, philosophers of biology have debated the issue of reductionism versus anti-reductionism, with both sides often claiming a 'pluralist' position. However, both sides also tend to focus on a single research paradigm, which analyzes living things in terms of certain macromolecular components. I offer a case study where biologists pursue other analytic pathways, in a tradition of quantitative genetics that originates with the initially purely mathematical theories of R. A. Fisher, J. B. S. Haldane, and Sewall Wright in the 1930s. Aster Models (developed by Ruth Shaw and Charles Geyer) offers a class of statistical models designed for studying the fitness of plant and animal populations, by integrating the measurements of separate, sequential, non-normally distributed fitness components in novel ways. Their work generates important theoretical and practical results that do not require elaboration by molecular biology, and thus serves as a counterexample to the claims of philosophers whose 'pluralism' still harbors reductionist assumptions.     

蛋白质折叠识别方法综述

蛋白质折叠识别算法是蛋白质三维结构预测的重要方法之一,该方法在生物科学的许多方面得到卓有成效的应用。在过去的十年中,我们见证了一系列基于不同计算方式的蛋白质折叠识别方法。在这些计算方法中,机器学习和序列谱-序列谱比对是两种在蛋白质折叠中应用较为广泛和有效的方法。除了计算方法的进展外,不断增大的蛋白质结构数据库也是蛋白质折叠识别的预测精度不断提高的一个重要因素。在这篇文章中,我们将简要地回顾蛋白质折叠中的先进算法。另外,我们也将讨论一些可能可以应用于改进蛋白质折叠算法的策略。     

Computer modeling studies of the structure of a repressor

Due to advances in molecular biology the DNA sequences of structural genes coding for proteins are often known before a protein is characterized or even isolated. The function of a protein whose amino acid sequence has been deduced from a DNA sequence may not even be known. This has created greater interest in the development of methods to predict the tertiary structures of proteins. The a priori prediction of a protein's structure from its amino acid sequence is not yet possible. However, since proteins with similar amino acid sequences are observed to have similar three-dimensional structures, it is possible to use an analogy with a protein of known structure to draw some conclusions about the structure and properties of an uncharacterized protein. The process of predicting the tertiary structure of a protein relies very much upon computer modeling and analysis of the structure. The prediction of the structure of the bacteriophage 434 cro repressor is used as an example illustrating current procedures.     

Structural biology of mammalian lipoxygenases: enzymatic consequences of targeted alterations of the protein structure

Lipoxygenases form a heterogeneous family of lipid peroxidizing enzymes, which have been implicated in the pathogenesis of diseases with major health political relevance (bronchial asthma, atherosclerosis, cancer, and osteoporosis). The crystal structures of one mammalian lipoxygenase and of two plant isoenzymes have been solved and the structural bases of important enzyme properties (reaction specificity, membrane binding, and suicidal inactivation) have been investigated in the past. This review will briefly summarize our current understanding on the structural biology of the most important mammalian lipoxygenase isoforms and will also address selected mechanistic features of the lipoxygenase reaction.     

Impact of molecular biology on the detection of foodborne pathogens

Molecular biological methods that use antibodies and nucleic acids to detect specific foodborne bacterial pathogens were scarcely known a decade and a half ago. Few scientists could have predicted that these tools of basic research would come to dominate the field of food diagnostics. Today, a large number of cleverly designed assay formats using these technologies are available commercially for the detection in foods of practically all major established pathogens and toxins, as well as of many emerging pathogens. These tests range from very simple antibody-bound latex agglutination assays to very sophisticated DNA amplification methods. Although molecular biological assays are more specific, sensitive, and faster than conventional (often cultural) microbiological methods, the complexities of food matrices continue to offer unique challenges that may preclude the direct application of these molecular biological methods. Consequently, a short cultural enrichment period is still required for food samples prior to analysis with these assays. The greater detection sensitivity of molecular biological methods may also affect existing microbiological specifications for foods; this undoubtedly will have repercussions on the regulatory agencies, food manufacturers, and also consumers. The US government has the right to retain a nonexclusive royalty-free license in and to any copyright covering this article. Use of trade names is for identification only and does not imply an endorsement by the US FDA.     

高等师范院校分子生物学课程教学改革与实践

分子生物学是一门从分子水平研究生命现象、生命本质及其规律的科学,是现代生命科学中最具活力的带头学科,掌握分子生物学的基本理论和基本技能已成为21世纪生物科学对人才发展的一个需求。确定科学、合理的教学改革方案,重组、优化教学内容,精心设计教学方法、教学手段及考核方式,对确保分子生物学课程教学质量具有重要意义。结合近年来的分子生物学教学经验,就教材建设、教学内容整合、教学方法改进、课程考核方式、网络课程建设以及开放实验室管理等方面阐述了一些观点和体会,以期为提高分子生物学教学质量及培养素质型人才提供有益参考。     

线虫的分子生物学研究

线虫在动物发育的研究及生物防治中起着巨大作用。对20世纪80年代以来有关植物寄生线虫、昆虫寄生线虫的分子生物学研究概况进行了综述。