標(biāo)題: Titlebook: Bioinformatics and Drug Discovery; Richard S. Larson Book 2006 Humana Press 2006 In silico.Radiologieinformationssystem.bioinformatics.dev [打印本頁] 作者: 古生物學(xué) 時(shí)間: 2025-3-21 16:57
書目名稱Bioinformatics and Drug Discovery影響因子(影響力)
書目名稱Bioinformatics and Drug Discovery影響因子(影響力)學(xué)科排名
書目名稱Bioinformatics and Drug Discovery網(wǎng)絡(luò)公開度
書目名稱Bioinformatics and Drug Discovery網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Bioinformatics and Drug Discovery被引頻次
書目名稱Bioinformatics and Drug Discovery被引頻次學(xué)科排名
書目名稱Bioinformatics and Drug Discovery年度引用
書目名稱Bioinformatics and Drug Discovery年度引用學(xué)科排名
書目名稱Bioinformatics and Drug Discovery讀者反饋
書目名稱Bioinformatics and Drug Discovery讀者反饋學(xué)科排名
作者: Immunization 時(shí)間: 2025-3-21 21:22 作者: disciplined 時(shí)間: 2025-3-22 03:28
Reproducing Kernel Hilbert Space,ut screening by NMR methods has recently received a boost from the introduction of sophisticated computational techniques for reducing the time needed for the acquistion of the primary NMR data for multidimensional studies.作者: 宇宙你 時(shí)間: 2025-3-22 07:58 作者: Overdose 時(shí)間: 2025-3-22 09:51 作者: 微塵 時(shí)間: 2025-3-22 16:46 作者: PIZZA 時(shí)間: 2025-3-22 17:56
From Microarray to Biological Networks,yze microarray time series. Using the parameters from the dynamic model as a metric, two-way hierarchical clustering could be performed to visualize how . affect the expression levels of .. Application of these approaches is demonstrated using gene expression data in yeast cell cycle.作者: Pageant 時(shí)間: 2025-3-23 00:55 作者: Debark 時(shí)間: 2025-3-23 02:34 作者: Jogging 時(shí)間: 2025-3-23 06:57 作者: 舞蹈編排 時(shí)間: 2025-3-23 13:23 作者: conjunctivitis 時(shí)間: 2025-3-23 17:15 作者: 集合 時(shí)間: 2025-3-23 18:09
https://doi.org/10.1007/3-540-31689-2esidues and the selective pressures that have influenced their evolution. In this chapter, we review the most interesting approaches for inferring the evolutionary history of DNA and protein sequences and indicate how these analyses can be useful in the drug discovery process.作者: 我不怕犧牲 時(shí)間: 2025-3-24 01:16
Durdimurod K. Durdiev,Zhanna D. Totievaf modern medicine, broader data representation models have been created, from corepresentation of genomic and clinical data as a framework for drug research and discovery to the modeling of genotyping and pharmacogenomic therapy within the broader process of the delivery of health care.作者: 完成才能戰(zhàn)勝 時(shí)間: 2025-3-24 05:49 作者: 令人心醉 時(shí)間: 2025-3-24 07:53
Jun-Bao Li,Shu-Chuan Chu,Jeng-Shyang Panational changes on binding, to estimate dissociation constants, and to locate the sites of interaction/binding between binding partners. We also discuss more direct MS methods, including the analysis of metal ion complexation with proteins.作者: febrile 時(shí)間: 2025-3-24 11:59 作者: 漂浮 時(shí)間: 2025-3-24 18:43
Te-Ming Huang,Vojislav Kecman,Ivica Koprivao methods for the characterization of genomic information using GO. It discusses methods for measuring functional similarity of gene products, and a tool for supporting gene expression clustering analysis and validation.作者: 罐里有戒指 時(shí)間: 2025-3-24 20:36
Microarray Analysis in Drug Discovery and Clinical Applications,erations for a successful experiment are also discussed with emphasis on drug discovery and clinical applications. Finally, a clinical study is presented as an example to illustrate how DNA microarray technology can be used to identify gene signatures, and to demonstrate the promise of DNA microarray as a clinical tool.作者: 思想上升 時(shí)間: 2025-3-25 00:25 作者: 爵士樂 時(shí)間: 2025-3-25 05:03 作者: 做作 時(shí)間: 2025-3-25 10:52
1064-3745 identification to protein modeling to the identification of specific drug candidates. The authors demonstrate these techniques, including microarray analysis, the analysis of genes as potential drug targets, virtual screening and in silico protein design, and cheminformatics, in a variety of practic作者: promote 時(shí)間: 2025-3-25 12:09
Basic Microarray Analysis,Here, the advantages and pitfalls of utilizing microarrays are discussed, as are practical strategies to help novice users succeed with this method that can empower them with the ability to assay changes in gene expression at the whole-genome level.作者: chemical-peel 時(shí)間: 2025-3-25 19:40 作者: palliative-care 時(shí)間: 2025-3-25 20:01
Standardization of Microarray and Pharmacogenomics Data,f modern medicine, broader data representation models have been created, from corepresentation of genomic and clinical data as a framework for drug research and discovery to the modeling of genotyping and pharmacogenomic therapy within the broader process of the delivery of health care.作者: 臨時(shí)抱佛腳 時(shí)間: 2025-3-26 02:25 作者: 不可思議 時(shí)間: 2025-3-26 07:46 作者: 召集 時(shí)間: 2025-3-26 12:07
1064-3745 al situations. Because these technologies are still emergent, each chapter contains an extended introduction that explains the theory and application of the technology and techniques described.978-1-61737-509-5978-1-59259-964-6Series ISSN 1064-3745 Series E-ISSN 1940-6029 作者: ADORN 時(shí)間: 2025-3-26 16:09 作者: Incumbent 時(shí)間: 2025-3-26 16:55
Reproducing Kernel Hilbert Space,re packages have been developed for . protein design. The methods for selecting the protein structure, defining the portion to be designed, and choosing the input parameters for the software are described in this chapter.作者: 隱語 時(shí)間: 2025-3-26 21:17
Discovering New Drug-Targeting Sites on Flexible Multidomain Protein Kinases,ts and crevices detected around the dynamic domain-domain interface provide new targeting sites for tethered-based extension of current small-molecule lead compounds to produce more potent and selective pharmaceutical agents.作者: gout109 時(shí)間: 2025-3-27 01:59
, Protein Design,re packages have been developed for . protein design. The methods for selecting the protein structure, defining the portion to be designed, and choosing the input parameters for the software are described in this chapter.作者: JOT 時(shí)間: 2025-3-27 06:30
New Strategies in Drug Discovery,central to the drug discovery process. The ability to associate a specific gene with a disease can be attributed primarily to the extraordinary progress that has been made in the areas of gene sequencing and information technologies. Selection and validation of novel molecular targets have become of作者: 運(yùn)動(dòng)性 時(shí)間: 2025-3-27 10:54 作者: GENRE 時(shí)間: 2025-3-27 13:45
From Microarray to Biological Networks,ety of metabolic, xenobiotic, or pathogenic challenges. This potentially vast quantity of data enables, in principle, the dissection of the complex genetic networks that control the patterns and rhythms of gene expression in the cell. Here we present a general approach to developing dynamic models f作者: 極小 時(shí)間: 2025-3-27 20:53
Microarray Analysis in Drug Discovery and Clinical Applications,r summarizes some of these applications such as identification and validation of anti-infective drug target, study mechanisms of drug action and drug metabolism, classification of different types of tumors, and use of molecular signatures for prediction of disease outcome. A step-by-step protocol is作者: PLE 時(shí)間: 2025-3-28 01:34 作者: etidronate 時(shí)間: 2025-3-28 06:08 作者: 大氣層 時(shí)間: 2025-3-28 07:42
Standardization of Microarray and Pharmacogenomics Data,andards. Various file format standards were soon developed to convey increasingly complex and voluminous data that nomenclature alone could not effectively organize without additional structure and annotation. As areas of biochemistry and molecular biology have become more integral to the practice o作者: 殘忍 時(shí)間: 2025-3-28 11:40 作者: intolerance 時(shí)間: 2025-3-28 16:50 作者: IVORY 時(shí)間: 2025-3-28 20:54 作者: 入伍儀式 時(shí)間: 2025-3-29 00:35
Nuclear Magnetic Resonance-Based Screening Methods for Drug Discovery,e large difference in mass between drugs and receptors (usually proteins) and the effect that this has on the rotational or translational correlation times for drugs bound to their targets. Many NMR parameters, such as the diffusion coefficient, spin diffusion, nuclear Overhauser enhancement, and tr作者: Dysarthria 時(shí)間: 2025-3-29 05:31
Receptor-Binding Sites,ntal of all biological mechanisms and lie at the conceptual heart of protein function. In particular, the protein-binding site is the most fascinating and important mechanistic arbiter of protein function. In this review, I examine the nature of protein-binding sites found in both ligand-binding rec作者: 印第安人 時(shí)間: 2025-3-29 10:27
, Protein Design,ools for the rational mutagenesis and functional modification of proteins. These approaches use analysis of the three-dimensional structure of a protein to guide the selection of appropriate amino acid sequences to create desired properties or functions. The convergence of low-cost, high-speed compu作者: 良心 時(shí)間: 2025-3-29 12:23 作者: 謙卑 時(shí)間: 2025-3-29 18:02
Bioinformatics Platform Development,ent of novel bioinformatics and experimental approaches to predict the functions and metabolic role of the new proteins. The main application of the work is to search, validate, and prioritize new targets for designing a new generation of drugs. Modern computer and experimental methods for discovery作者: 夸張 時(shí)間: 2025-3-29 21:57
Chemical Database Preparation for Compound Acquisition or Virtual Screening,ve molecules. Both methods require the ability to aptly handle large numbers of chemicals prior to an experiment or acquisition. We describe a step-by-step preparation procedure for handling large collections of existing or virtual compounds prior to virtual screening or acquisition.作者: Morsel 時(shí)間: 2025-3-30 03:56 作者: Agility 時(shí)間: 2025-3-30 07:42 作者: jealousy 時(shí)間: 2025-3-30 08:13 作者: 血統(tǒng) 時(shí)間: 2025-3-30 14:16
Studies in Computational Intelligenceety of metabolic, xenobiotic, or pathogenic challenges. This potentially vast quantity of data enables, in principle, the dissection of the complex genetic networks that control the patterns and rhythms of gene expression in the cell. Here we present a general approach to developing dynamic models f作者: 逃避現(xiàn)實(shí) 時(shí)間: 2025-3-30 19:40 作者: Volatile-Oils 時(shí)間: 2025-3-30 23:57
Te-Ming Huang,Vojislav Kecman,Ivica Koprivabasis for implementing functional classification and interpretation models. This chapter discusses the application of gene ontology (GO) for predictive tasks in functional genomics. It focuses on the problem of analyzing functional patterns associated with gene products. This chapter is divided into作者: 喊叫 時(shí)間: 2025-3-31 02:50 作者: 偏離 時(shí)間: 2025-3-31 06:44
