作者: Gesture 時(shí)間: 2025-3-21 21:12
Edaravone Therapy: From Bench to Bedsideing process. This effort extended the concept of QSAR to quantitative structure in vitro–in vivo relationship (QSIIR). The QSIIR study examples provided in this chapter indicate that the QSIIR models that based on the hybrid (biological and chemical) descriptors are indeed superior to the convention作者: 極大痛苦 時(shí)間: 2025-3-22 01:59 作者: hangdog 時(shí)間: 2025-3-22 05:10
Edaravone Therapy: From Bench to Bedsideknowledge of computational toxicology and some familiarity with the practical use of computational tools. The emphasis is on how to evaluate the data generated by multiple tools, rather than the practical use of any specific tool.作者: 男學(xué)院 時(shí)間: 2025-3-22 11:09 作者: 一窩小鳥 時(shí)間: 2025-3-22 16:22 作者: 一窩小鳥 時(shí)間: 2025-3-22 19:41 作者: finite 時(shí)間: 2025-3-22 22:25 作者: 細(xì)胞 時(shí)間: 2025-3-23 01:58 作者: Barrister 時(shí)間: 2025-3-23 06:40 作者: SKIFF 時(shí)間: 2025-3-23 09:47
Classification Models for Safe Drug Moleculesough there is an increasing use of classification models for prediction of either biological activity or toxicity, the future trend will naturally be towards the development of classification models capable of simultaneous prediction of biological activity, toxicity, and pharmacokinetic parameters s作者: 輕快帶來危險(xiǎn) 時(shí)間: 2025-3-23 16:19 作者: 有組織 時(shí)間: 2025-3-23 19:41
Gene Expression Networksression or protein–protein interaction networks. Also, approaches to reverse engineer gene networks or methods that seek to identify novel interactions between genes are described. Given the relatively small sample numbers typically available, these reverse engineering approaches are generally usefu作者: 枯燥 時(shí)間: 2025-3-23 22:20
Biomarkersargets with perturbed biological pathways. Two examples are given in this chapter: (1) inferring potential human biomarkers from animal toxicogenomics data, and (2) the identification of protein targets through computational means and associating these in one example with potential drug interactions作者: febrile 時(shí)間: 2025-3-24 06:13 作者: obsession 時(shí)間: 2025-3-24 08:01 作者: 同謀 時(shí)間: 2025-3-24 10:54 作者: Nuance 時(shí)間: 2025-3-24 15:50
1064-3745 pproaches used in the analysis of gene, signaling, regulatory, and metabolic networks. The next section focuses on diagnostic and prognostic molecular indicators (biomarkers), fol978-1-4939-6326-3978-1-62703-059-5Series ISSN 1064-3745 Series E-ISSN 1940-6029 作者: palette 時(shí)間: 2025-3-24 20:53
Accessing and Using Chemical Databasesed—identification, structural, and associated data. Functionality of chemical databases is presented, with examples of search and access types. More details are included about the OASIS database and platform and the Danish (Q)SAR Database online. Various types of chemical database resources are discussed, together with a list of examples.作者: 管理員 時(shí)間: 2025-3-25 02:48 作者: 牢騷 時(shí)間: 2025-3-25 05:53 作者: cyanosis 時(shí)間: 2025-3-25 08:47 作者: ACME 時(shí)間: 2025-3-25 12:21 作者: Instinctive 時(shí)間: 2025-3-25 19:02 作者: BRINK 時(shí)間: 2025-3-25 22:09
Iron Metabolism and Oxidative Stresss chapter will provide an overview focused on computational tools using structure–activity relationships and will highlight initiatives for use of computational assessments and realistic applications for predictive modeling in evaluating potential toxicities of drug-related molecules.作者: 約會(huì) 時(shí)間: 2025-3-26 03:33
Construction of Cell Type-Specific Logic Models of Signaling Networks Using ,ented in the freely available tool . (.). We explain the process . uses to train a prior knowledge network to data and illustrate its application with a toy example as well as a realistic case describing signaling networks in the HepG2 liver cancer cell line.作者: Infant 時(shí)間: 2025-3-26 04:31 作者: 流逝 時(shí)間: 2025-3-26 11:06 作者: Abduct 時(shí)間: 2025-3-26 14:37
Predictive Computational Toxicology to Support Drug Safety Assessments chapter will provide an overview focused on computational tools using structure–activity relationships and will highlight initiatives for use of computational assessments and realistic applications for predictive modeling in evaluating potential toxicities of drug-related molecules.作者: Duodenitis 時(shí)間: 2025-3-26 17:14
Brazilian Research on Moral Competenceed—identification, structural, and associated data. Functionality of chemical databases is presented, with examples of search and access types. More details are included about the OASIS database and platform and the Danish (Q)SAR Database online. Various types of chemical database resources are discussed, together with a list of examples.作者: Diatribe 時(shí)間: 2025-3-27 00:33 作者: heterodox 時(shí)間: 2025-3-27 03:17 作者: 羊齒 時(shí)間: 2025-3-27 08:29
Methods for Building QSARsr, the design of such models has many traps for unwary practitioners. Consequently, the purpose of this chapter is to give a practical guide for the computation of SAR and QSAR models, point out problems that may be encountered, and suggest ways of solving them. Attempts are also made to see how these models can be validated and interpreted.作者: notification 時(shí)間: 2025-3-27 10:48 作者: Generosity 時(shí)間: 2025-3-27 15:45
Methods for Building QSARsy, and pharmacology for predicting the activity of the molecules from their physicochemical properties and/or their structural characteristics. However, the design of such models has many traps for unwary practitioners. Consequently, the purpose of this chapter is to give a practical guide for the c作者: BOOST 時(shí)間: 2025-3-27 17:50
Accessing and Using Chemical Databasesproperties. Databases are widely used wherever efficient processing of chemical information is needed, including search, storage, retrieval, and dissemination. Structure and functionality of chemical databases are considered. The typical kinds of information found in a chemical database are consider作者: Dna262 時(shí)間: 2025-3-28 00:42 作者: 生來 時(shí)間: 2025-3-28 03:29
Mutagenicity, Carcinogenicity, and Other End pointsships has seen dramatic progress in the last decades. Coarse-grain, qualitative approaches (e.g., the structural alerts), and fine-tuned quantitative structure–activity relationship models have been developed and used to predict the toxicological properties of untested chemicals. More recently, a nu作者: 無力更進(jìn) 時(shí)間: 2025-3-28 08:49 作者: Traumatic-Grief 時(shí)間: 2025-3-28 11:44
QSAR and Metabolic Assessment Tools in the Assessment of Genotoxicityutational assessment of genotoxicity is illustrated through the application of selected tools to two case-study compounds—2-amino-9H-pyrido[2,3-b]indole (AαC) and 2-aminoacetophenone (2-AAP). The first case study compound (AαC) is an environment pollutant and a food contaminant that can be formed du作者: 脖子 時(shí)間: 2025-3-28 15:12
Gene Expression Networkspotential drawback of these data is that they are very rich in features or genes though cost considerations allow for the use of only relatively small sample sizes. A useful way of getting at biologically meaningful interpretations of the environmental or toxicological condition of interest would be作者: breadth 時(shí)間: 2025-3-28 21:51 作者: extinct 時(shí)間: 2025-3-29 02:06
Regulatory Networkshypotheses and suitable biological experiments. All mathematical frameworks dedicated to biological regulatory networks must manage a large number of ., which are not directly measurable in the cell. The cornerstone to establish predictive models is the . of the possible parameter values. Formal fra作者: DUST 時(shí)間: 2025-3-29 05:45 作者: AV-node 時(shí)間: 2025-3-29 08:53 作者: 線 時(shí)間: 2025-3-29 12:28
Biomonitoring-based Environmental Public Health Indicatorsatrices for biomonitoring, organization and standardization of surveillance programs, the use of intake and body burden data, and the interpretation of surveillance data are discussed. The concept of environmental public health indicators is demonstrated using the “Persistent organic pollutants in h作者: menopause 時(shí)間: 2025-3-29 16:05 作者: 不可侵犯 時(shí)間: 2025-3-29 23:38 作者: PAGAN 時(shí)間: 2025-3-30 03:44 作者: 違法事實(shí) 時(shí)間: 2025-3-30 05:50 作者: 言外之意 時(shí)間: 2025-3-30 08:50
Brazilian Research on Moral Competenceproperties. Databases are widely used wherever efficient processing of chemical information is needed, including search, storage, retrieval, and dissemination. Structure and functionality of chemical databases are considered. The typical kinds of information found in a chemical database are consider作者: commodity 時(shí)間: 2025-3-30 13:10
Edaravone Therapy: From Bench to Bedsideal, or other types of activities/properties of chemicals on their molecular features. In the past two decades, QSAR modeling has been used extensively in drug discovery process. However, the predictive models resulted from QSAR studies have limited use for chemical risk assessment, especially for an作者: 發(fā)牢騷 時(shí)間: 2025-3-30 16:34
Toru Yamashita,Koji Abe M.D., Ph.D.ships has seen dramatic progress in the last decades. Coarse-grain, qualitative approaches (e.g., the structural alerts), and fine-tuned quantitative structure–activity relationship models have been developed and used to predict the toxicological properties of untested chemicals. More recently, a nu作者: Gentry 時(shí)間: 2025-3-30 21:24 作者: 加花粗鄙人 時(shí)間: 2025-3-31 03:41 作者: 懶惰民族 時(shí)間: 2025-3-31 07:19 作者: Detain 時(shí)間: 2025-3-31 10:01
