標題: Titlebook: Bioinformatics and Drug Discovery; Richard S. Larson,Tudor I. Oprea Book 2019Latest edition Springer Science+Business Media, LLC, part of [打印本頁] 作者: 摩擦 時間: 2025-3-21 19:02
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: linear 時間: 2025-3-21 22:23
Methods in Molecular Biologyhttp://image.papertrans.cn/b/image/187197.jpg作者: FECT 時間: 2025-3-22 00:56 作者: 高度 時間: 2025-3-22 04:42
Springer Science+Business Media, LLC, part of Springer Nature 2019作者: 生來 時間: 2025-3-22 09:53
Miniaturized Checkerboard Assays to Measure Antibiotic Interactionse measurement of drug interactions. Here, we describe a protocol to measure the pairwise interactions among three antibiotics, in duplicate, in 5?days, using only two 96-well microplates and standard laboratory equipment.作者: Cholesterol 時間: 2025-3-22 13:56 作者: 使閉塞 時間: 2025-3-22 18:15 作者: 有斑點 時間: 2025-3-22 22:32 作者: 能得到 時間: 2025-3-23 05:03 作者: aneurysm 時間: 2025-3-23 09:32 作者: Barrister 時間: 2025-3-23 12:46 作者: Glossy 時間: 2025-3-23 17:03
Theorie der prismatischen Kerbwirkung,ta 3:160018, 2016). However, results from bioassay experiments often exist in formats that are difficult to interoperate across and reuse in follow-up research, especially when attempting to combine experimental records from many different sources. This chapter details common issues associated with 作者: ARM 時間: 2025-3-23 20:50
Die Formzahldiagramme und ihre Handhabung,data is becoming available. In accordance with this, there is a lack of conformity in the ways data is interpreted. This era of “big data” provides unprecedented opportunities for data-driven research and “big picture” models. However, in-depth analyses—making use of various data types and data sour作者: 壯觀的游行 時間: 2025-3-23 22:51 作者: Agility 時間: 2025-3-24 05:25
,Theorie der r?umlichen Kerbwirkung,ery. In the current chapter, we outline and detail the various resources and tools one can leverage in order to perform such analyses. We further describe in depth the in silico workflows of two recent studies that have identified possible novel indications of existing drugs. Lastly, we delve into t作者: 轉(zhuǎn)換 時間: 2025-3-24 06:51 作者: 吹牛需要藝術(shù) 時間: 2025-3-24 13:28
Theorie der ebenen Kerbwirkung,onments and to anticipating what is likely to happen in situations where that behavior cannot be measured directly. Quantitative structure-property relationship (QSPR) models provide a way to predict those properties even before a compound has been synthesized simply by knowing what its structure wo作者: Inscrutable 時間: 2025-3-24 17:05
,Theorie der r?umlichen Kerbwirkung,tical applications. A general overview of fundamental ion mobility (IM) theory is provided with descriptions of several contemporary instrument platforms which are available commercially (i.e., drift tube and traveling wave IM). Recent applications of IM-MS toward the evaluation of structural isomer作者: 等級的上升 時間: 2025-3-24 22:28 作者: 含沙射影 時間: 2025-3-25 02:03 作者: Dedication 時間: 2025-3-25 05:59 作者: graphy 時間: 2025-3-25 08:15
,Theorie der r?umlichen Kerbwirkung,. Similar to data set preprocessing in other fields, there is an initial need to complete data quality evaluation; however, with large heterogeneous clinical data sets, it is important to standardize the data in order to facilitate dimensionality reduction. This is particularly important for clinica作者: Concerto 時間: 2025-3-25 12:55
https://doi.org/10.1007/978-3-642-53069-2ges in gene expression and signal transduction. L1000 big datasets provide gene expression profiles induced by over 10,000 compounds, shRNAs, and kinase inhibitors using L1000 platform. We developed a systematic compound signature discovery pipeline named csNMF, which covers from raw L1000 data proc作者: lacrimal-gland 時間: 2025-3-25 17:05
High-Throughput Screening for Drug Combinationsed drugs using a full dose-response matrix scheme using viability as the readout. We provide details of the automation required to run the screen and the informatics required to process data from screening robot and subsequent analysis and visualization of the datasets.作者: Parley 時間: 2025-3-25 20:04
Post-processing of Large Bioactivity Datathe processing of large bioactivity data and methods for handling these issues in a post-processing scenario. Specifically described are observations from a recent effort (Harris, ., 2017) to post-process massive amounts of bioactivity data from the NIH’s PubChem Bioassay repository (Wang et al., Nucleic Acids Res 42:1075–1082, 2014).作者: Explosive 時間: 2025-3-26 00:38
Isomeric and Conformational Analysis of Small Drug and Drug-Like Molecules by Ion Mobility-Mass Specs are highlighted and placed in the context of both a separation and characterization perspective. We conclude this chapter with a guided reference protocol for obtaining routine IM-MS spectra on a commercially available uniform-field IM-MS.作者: Integrate 時間: 2025-3-26 04:20 作者: SOBER 時間: 2025-3-26 10:10
Drug Signature Detection Based on L1000 Genomic and Proteomic Big Dataessing to drug screening and mechanism generation. The discovered compound signatures of breast cancer were consistent with the LINCS KINOMEscan data and were clinically relevant. In this way, the potential mechanisms of compounds’ efficacy are elucidated by our computational model.作者: 角斗士 時間: 2025-3-26 14:18 作者: Coordinate 時間: 2025-3-26 19:20
Die Formzahldiagramme und ihre Handhabung,zed by computationally ranking the closeness between a disease network and a drug’s signaling network. Furthermore, we describe the use of the most perturbed HLA genes to assess the safety risk for immune-mediated adverse reactions such as Stevens-Johnson syndrome/toxic epidermal necrolysis.作者: 可忽略 時間: 2025-3-26 21:02
Building a Quantitative Structure-Property Relationship (QSPR) Model performance, and then analyzing the predictive errors with an eye toward identifying systematic errors in the input data. The focus here is on models for the absorption, distribution, metabolism, and excretion (ADME) properties of drugs and toxins, but the considerations explored are general and applicable to any QSPR.作者: Infinitesimal 時間: 2025-3-27 04:14 作者: 責(zé)怪 時間: 2025-3-27 08:26
1064-3745 ation advice from the expertsThis third edition volume expands on the previous editions with new topics that cover drug discovery through translational bioinformatics, informatics, clinical research informatics, as well as clinical informatics. The chapters discuss new methods to study target identi作者: 可忽略 時間: 2025-3-27 13:18
,Theorie der r?umlichen Kerbwirkung,ribe in depth the in silico workflows of two recent studies that have identified possible novel indications of existing drugs. Lastly, we delve into the caveats and considerations of this process to enable other researchers to perform rigorous computational drug discovery experiments of their own.作者: 同音 時間: 2025-3-27 16:41
Leveraging Big Data to Transform Drug Discoveryribe in depth the in silico workflows of two recent studies that have identified possible novel indications of existing drugs. Lastly, we delve into the caveats and considerations of this process to enable other researchers to perform rigorous computational drug discovery experiments of their own.作者: 悅耳 時間: 2025-3-27 19:31
,Theorie der r?umlichen Kerbwirkung,ed drugs using a full dose-response matrix scheme using viability as the readout. We provide details of the automation required to run the screen and the informatics required to process data from screening robot and subsequent analysis and visualization of the datasets.作者: gusher 時間: 2025-3-28 00:31 作者: dura-mater 時間: 2025-3-28 03:51
,Theorie der r?umlichen Kerbwirkung,s are highlighted and placed in the context of both a separation and characterization perspective. We conclude this chapter with a guided reference protocol for obtaining routine IM-MS spectra on a commercially available uniform-field IM-MS.作者: 極小量 時間: 2025-3-28 09:17
,Theorie der r?umlichen Kerbwirkung, chapter serves as an introduction to the applications of various text mining approaches in drug discovery. It is divided into two parts with the first half as an overview of text mining in the biosciences. The second half of the chapter reviews strategies and methods for four unique applications of text mining in drug discovery.作者: Somber 時間: 2025-3-28 13:58
https://doi.org/10.1007/978-3-642-53069-2essing to drug screening and mechanism generation. The discovered compound signatures of breast cancer were consistent with the LINCS KINOMEscan data and were clinically relevant. In this way, the potential mechanisms of compounds’ efficacy are elucidated by our computational model.作者: narcissism 時間: 2025-3-28 15:15 作者: neologism 時間: 2025-3-28 21:09 作者: 大暴雨 時間: 2025-3-28 23:01 作者: intertwine 時間: 2025-3-29 04:30
Book 2019Latest edition, clinical research informatics, as well as clinical informatics. The chapters discuss new methods to study target identification, genome analysis, cheminformatics, protein analysis, and text mining. Written in the highly successful .Methods in Molecular Biology. series format, chapters include intr作者: Antimicrobial 時間: 2025-3-29 08:04
Omics Data Integration and Analysis for Systems Pharmacology作者: 不安 時間: 2025-3-29 14:29 作者: 以煙熏消毒 時間: 2025-3-29 19:08
,Theorie der r?umlichen Kerbwirkung,proaches to these tasks and then goes into detail on how to prepare data for use specifically with the JensenLab tagger. This software uses a dictionary-based approach and provides the text mining evidence for STRING and several other databases.作者: Mammal 時間: 2025-3-29 20:35
https://doi.org/10.1007/978-3-642-53069-2 drug standardization, as well as food products. Due to rapidly increasing commercial interest, currently probiotic-based industries are flooding the market with a range of probiotic products under the banner of dietary supplements, natural health products, food supplements, or functional foods. Mos作者: Aboveboard 時間: 2025-3-30 02:29
1064-3745 utting-edge and thorough, .Bioinformatics and Drug Discovery, Third Edition. is a valuable resource for anyone interested in drug design, including academicians (biologists, informaticists and data scientists, chemists, and biochemists), clinicians, and pharmaceutical scientists..978-1-4939-9089-4Series ISSN 1064-3745 Series E-ISSN 1940-6029 作者: Polydipsia 時間: 2025-3-30 07:41 作者: 深陷 時間: 2025-3-30 11:12 作者: 雄辯 時間: 2025-3-30 16:13 作者: agonist 時間: 2025-3-30 19:06 作者: MAIM 時間: 2025-3-30 23:28
High-Throughput Screening for Drug Combinationst 10?years, high-throughput screening platforms have been developed that enable routine screening of thousands of drug pairs in an in vitro setting. In this chapter, we describe the workflow involved in screening a single agent versus a library of mechanistically annotated, investigation, and approv
