Finding Protein Sequence Motifs--methods And Applications

寻找蛋白质序列基序——方法和应用

• 批准号: 9555730
• 负责人: Eugene V Koonin
• 金额: $ 31.91万
• 依托单位: NATIONAL LIBRARY OF MEDICINE
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/9555730
• 关键词: Actinomyces Infections; Amino Acid Motifs; Amino Acid Sequence; Animals; Antitumor Response; Apoptosis; Archaeal Genome; Architecture; Bacteria; Bacterial Genome; Biological; Capsid Proteins; Censuses; Classification; Clustered Regularly Interspaced Short Palindromic Repeats; Collection; Complex; Custom; DNA; Death Domain; Development; Disease; Dissection; Eukaryota; Evolution; Family; Family member; Generations; Genes; Genome; Genome engineering; Genomics; Goals; Homology Modeling; Human; Individual; Investigation; Lead; Libraries; Life; Methodology; Methods; Mobile Genetic Elements; Nomenclature; Organism; Pattern; Periodicity; Phenotype; Planet Earth; Positioning Attribute; Process; Prokaryotic Cells; Property; Protein Analysis; Protein Family; Protein Structure Initiative; Proteins; RNA Binding; Recruitment Activity; Regulation; Research; Route; SAM Domain; Signal Transduction; Structure; System; Tertiary Protein Structure; Variant; Viral; Viral Genome; Virion; Virus; Work; adaptive immunity; database structure; design; exhaustion; experience; genetic element; genome editing; markov model; microbial; molecular sequence database; novel; nucleoside triphosphatase; polymerization; protein profiling; protein structure; sample fixation; tool; trait

The rapid accumulation of genome sequences and protein structures during the last decade has been paralleled by major advances in sequence database search methods. The powerful Position-Specific Iterating BLAST (PSI-BLAST) method developed at the NCBI forms the basis of our work on protein motif analysis. In addition, Hidden Markov Models (HMM), protein profile-against-profile comparison implemented in the HHSearch method, protein structure comparison methods, homology modeling of protein structure and genome context analysis were extensively and increasingly applied. Furthermore, custom libraries of protein domain profiles as well as computational pipelines for novel domain identification have been developed and applied. The research performed over the last year, has led to further progress in the study of the classification, evolution, and functions of several classes of proteins and domains. In particular, we have performed a comprehensive analysis of the relationships among viral capsid proteins. Viruses are the most abundant biological entities on earth and show remarkable diversity of genome sequences, replication and expression strategies, and virion structures. Evolutionary genomics of viruses revealed many unexpected connections but the general scenario(s) for the evolution of the virosphere remains a matter of intense debate among proponents of the cellular regression, escaped genes, and primordial virus world hypotheses. A comprehensive sequence and structure analysis of major virion proteins indicates that they evolved on about 20 independent occasions, and in some of these cases likely ancestors are identifiable among the proteins of cellular organisms. Virus genomes typically consist of distinct structural and replication modules that recombine frequently and can have different evolutionary trajectories. The results of this analysis suggest that, although the replication modules of at least some classes of viruses might descend from primordial selfish genetic elements, bona fide viruses evolved on multiple, independent occasions throughout the course of evolution by the recruitment of diverse host proteins that became major virion components. In another project, we performed a detailed analysis and classification of the protein domains that comprise the Class 2 CRISPR-Cas systems, the microbial defense machinery that has been recently exploited for development of a new generation of genome editing tools. Class 2 CRISPR-Cas systems are characterized by effector modules that consist of a single multidomain protein, such as Cas9 or Cpf1. We designed a computational pipeline for the discovery of novel class 2 variants and used it to identify six new CRISPR-Cas subtypes. The diverse properties of these new systems provide potential for the development of versatile tools for genome editing and regulation. We performed a comprehensive census of class 2 types and subtypes in complete and draft bacterial and archaeal genomes, outlined evolutionary scenarios for the independent origin of different class 2 CRISPR-Cas systems from mobile genetic elements, and proposed an amended classification and nomenclature of CRISPR-Cas. In a separate development, we performed an exhaustive computational dissection of the domain architecture of the SAMD9 family proteins that are involved in antivirus and antitumor response in humans. We show that the SAMD9 protein family is represented in most animals and also, unexpectedly, in bacteria, in particular actinomycetes. From the N to C terminus, the core SAMD9 family architecture includes DNA/RNA-binding AlbA domain, a variant Sir2-like domain, a STAND-like P-loop NTPase, an array of TPR repeats and an OB-fold domain with predicted RNA-binding properties. Vertebrate SAMD9 family proteins contain the eponymous SAM domain capable of polymerization, whereas some family members from other animals instead contain homotypic adaptor domains of the DEATH superfamily, known as dedicated components of apoptosis networks. Such complex domain architecture is reminiscent of the STAND superfamily NTPases that are involved in various signaling processes, including programmed cell death, in both eukaryotes and prokaryotes. These findings suggest that SAMD9 is a hub of a novel, evolutionarily conserved defense network that remains to be characterized. In a more theoretically oriented project, we performed a genomic census and evolutionary analysis of repeats arrays in diverse protein families. Protein repeats are considered hotspots of protein evolution, associated with acquisition of new functions and novel phenotypic traits, including disease. Paradoxically, however, repeats are often strongly conserved through long spans of evolution. To resolve this conundrum, it is necessary to directly compare paralogous (horizontal) evolution of repeats within proteins with their orthologous (vertical) evolution through speciation. Here we develop a rigorous methodology to identify highly periodic repeats with significant sequence similarity, for which evolutionary rates and selection (dN/dS) can be estimated, and systematically characterize their evolution. We showed that horizontal evolution of repeats is markedly accelerated compared with their divergence from orthologues in closely related species. This observation is universal across the diversity of life forms and implies a biphasic evolutionary regime whereby new copies experience rapid functional divergence under combined effects of strongly relaxed purifying selection and positive selection, followed by fixation and conservation of each individual repeat. Taken together, these studies expand the known repertoire of protein domains with defined functions and lead to the discovery of novel biologically important functional systems in diverse organisms some of which are expected to have practical implications, e.g. in genome engineering. The findings also contribute to the current understanding of the routes of protein evolution.

在过去的十年中，基因组序列和蛋白质结构的快速积累与序列数据库搜索方法的重大进展是并行的。NCBI开发的强大的位置特异性迭代BLAST （PSI-BLAST）方法构成了我们蛋白质基序分析工作的基础。此外，隐马尔可夫模型（HMM）、HHSearch方法中实现的蛋白质谱间比较、蛋白质结构比较方法、蛋白质结构同源性建模和基因组上下文分析等也得到了越来越广泛的应用。此外，还开发和应用了自定义的蛋白质结构域库和用于新型结构域识别的计算管道。