標(biāo)題: Titlebook: Drug Development Supported by Informatics; Hiroko Satoh,Kimito Funatsu,Hiroshi Yamamoto Book 2024 The Editor(s) (if applicable) and The Au [打印本頁] 作者: 乳缽 時間: 2025-3-21 18:19
書目名稱Drug Development Supported by Informatics影響因子(影響力)
書目名稱Drug Development Supported by Informatics影響因子(影響力)學(xué)科排名
書目名稱Drug Development Supported by Informatics網(wǎng)絡(luò)公開度
書目名稱Drug Development Supported by Informatics網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Drug Development Supported by Informatics被引頻次
書目名稱Drug Development Supported by Informatics被引頻次學(xué)科排名
書目名稱Drug Development Supported by Informatics年度引用
書目名稱Drug Development Supported by Informatics年度引用學(xué)科排名
書目名稱Drug Development Supported by Informatics讀者反饋
書目名稱Drug Development Supported by Informatics讀者反饋學(xué)科排名
作者: 惰性氣體 時間: 2025-3-21 21:58
Book 2024drugs with desired activity or physicochemical properties and to optimize the functionality, efficacy, safety and quality of the compounds for drugs. Recently, "AI drug discovery", drug discovery research utilizing artificial intelligence technology such as machine learning, has attracted much atten作者: 方舟 時間: 2025-3-22 00:55
Book 2024from learners to professional scientists in academia and industry. It focuses on the basic research stage of drug development with contributions from experts at the forefront of these fields. The authors hope that this book will be of assistance to explore new opportunities for collaboration between pharmaceutical science and informatics...?.作者: 箴言 時間: 2025-3-22 05:20
Toshiyuki Moriuchi,Toshikazu Hirao self-supervised learning, similar to those used in recent large language models and image AI. This chapter provides an overview of cutting-edge AI research in medicinal chemistry, elucidating the current status and efforts to overcome the challenges in this field.作者: 徹底檢查 時間: 2025-3-22 09:36
. This chapter reviews the recent trends in computational methods for drug discovery and drug repositioning using various big data and machine learning (a fundamental technology of artificial intelligence).作者: ICLE 時間: 2025-3-22 15:32 作者: ICLE 時間: 2025-3-22 18:21 作者: 拉開這車床 時間: 2025-3-23 00:17
Vestibular disorders in (frontal) roll planeristics of raw materials, intermediate products, and intermediates in each process for appropriate control is called Process Analytical Technology (PAT), which is rapidly being globally used. This chapter provides an overview of this approach.作者: ETCH 時間: 2025-3-23 04:47 作者: Commission 時間: 2025-3-23 07:58 作者: 名字的誤用 時間: 2025-3-23 12:21 作者: Adj異類的 時間: 2025-3-23 17:40 作者: myalgia 時間: 2025-3-23 21:34
Monitoring and Controlling in Continuous Manufacturing Process,ristics of raw materials, intermediate products, and intermediates in each process for appropriate control is called Process Analytical Technology (PAT), which is rapidly being globally used. This chapter provides an overview of this approach.作者: 輕打 時間: 2025-3-23 22:26
,Hinweise für den eiligen Leser,unique and theoretically justified descriptors in machine learning, and its role in drug development are explained in detail?in this chapter. Some applications of the .-ESI approach are also introduced in order to demonstrate the usefulness of the .-ESI?method.作者: 注意到 時間: 2025-3-24 05:17
Traumatische Schwindelsyndrome, part of the chapter, we present examples where informatics has been applied to predict protein adsorption onto monolayers and polymer films. We explore topics such as the construction of datasets, the selection of descriptors and algorithms, and the interpretation of data, among others.作者: 躲債 時間: 2025-3-24 10:30
Electronic-Structure Informatics for Drug Development,unique and theoretically justified descriptors in machine learning, and its role in drug development are explained in detail?in this chapter. Some applications of the .-ESI approach are also introduced in order to demonstrate the usefulness of the .-ESI?method.作者: Dappled 時間: 2025-3-24 13:08 作者: 剛開始 時間: 2025-3-24 16:48 作者: Alveolar-Bone 時間: 2025-3-24 22:20 作者: 純樸 時間: 2025-3-25 00:57 作者: insurgent 時間: 2025-3-25 05:06
Screening Methods for Drugs Using Chemoinformatics Methods for Beginners,. However, chemoinformatics has not yet been widely used in practical screening studies. The reasons for this include the following. Compounds are diverse and big data do not exist. Chemical data can vary widely in value depending on the data source. Development goals are sometimes vague, such as “m作者: 激怒某人 時間: 2025-3-25 08:56
Data-Driven Molecular Structure Generation for Inverse QSPR/QSAR Problem,/QSAR) problem in molecular design [. (2010), 29:111–125]. While QSPR/QSAR workflow predicts physicochemical properties or biological activities from chemical structures, inverse QSPR/QSAR workflows adopt QSPR/QSAR models to propose novel chemical structures having desired properties or activities. 作者: 對手 時間: 2025-3-25 11:44
Materials Informatics with Limited Data,the next frontier of materials science, substantially reducing the time and costs required in the discovery and development of innovative materials. Material design aims to identify a set of design variables that exhibit the desired properties. To address this, we apply a two-stage workflow consisti作者: 考博 時間: 2025-3-25 16:12 作者: 樹木中 時間: 2025-3-25 23:04 作者: chastise 時間: 2025-3-26 03:41 作者: 胡言亂語 時間: 2025-3-26 07:46 作者: 網(wǎng)絡(luò)添麻煩 時間: 2025-3-26 10:01
Drug Discovery and Drug Repositioning Using Computational Methods,rposing or drug rescue) has been attracting attention. In recent biomedical science, it has become possible to obtain omics information such as the genome, transcriptome, proteome, metabolome, phenome, and interactome, enabling us to comprehensively analyze various molecules and diseases. At the sam作者: Parameter 時間: 2025-3-26 12:51 作者: Constituent 時間: 2025-3-26 19:40 作者: Absenteeism 時間: 2025-3-26 21:36 作者: FIR 時間: 2025-3-27 01:30 作者: ALB 時間: 2025-3-27 06:47
,Toxicity Prediction System for Chemical Substances Based on Toxicity Expression Mechanisms—AI-SHIPSated dose toxicity tests. However, due to the high cost and time required for animal experiments and from the perspective of animal welfare, alternative methods such as (quantitative) structure–activity relationships ((Q)SAR), which predict toxicity from the structure of chemical substances, are bei作者: Trochlea 時間: 2025-3-27 11:31 作者: 枯萎將要 時間: 2025-3-27 17:01
Potential of High-Spatiotemporal Resolution Live Cell Imaging for Drug Discovery and Development,hniques enable researchers to observe and analyze cellular behavior, monitor the effects of drugs on cellular functions, and gain a deeper understanding of the mechanisms underlying diseases and therapeutic interventions. Data science, including artificial intelligence and machine learning, plays a 作者: acrimony 時間: 2025-3-27 19:38
Design of Biomaterials Using Informatics,ntion. However, when compared with areas such as battery technology, catalysis, and magnetic materials, the application of materials informatics within the biomaterials field is less prevalent. In this paper, we first provide an overview of the current status of this field. We introduce representati作者: DEMUR 時間: 2025-3-28 00:40
Monitoring and Controlling in Continuous Manufacturing Process,API) content, API mixing uniformity, moisture content, particle coating content, coating performance, etc. in the pharmaceutical product is monitored in real-time for each process such as grinding, mixing, granulation, drying, granulation, tableting, and coating. Appropriate operations are required 作者: CLASP 時間: 2025-3-28 05:57
Formulation Using Hansen Solubility Parameters,s: dispersion term, polarization term, and hydrogen bonding term. The three terms are regarded as a three-dimensional vector. Solubility is determined according to the similarity of the vectors. HSP can be used to determine how much of a compound (drug) is soluble in a given solvent. Here, I will ex作者: 嫌惡 時間: 2025-3-28 07:35
Tony Bridgeman,P. C. Chatwin,C. Plumptonhe similarity between graphs and can be combined with any kernel methods, and ., which are neural networks designed for machine learning such as classification and regression on graphs. We also review ., which enables us to efficiently search desirable drugs in enormous search space.作者: Derogate 時間: 2025-3-28 13:40
https://doi.org/10.1007/978-981-97-4828-0Chemoinformatics; Bioinformatics; Materials informatics; Clinical informatics; Artificial Intelligence作者: 召集 時間: 2025-3-28 14:55
978-981-97-4830-3The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor作者: 植物學(xué) 時間: 2025-3-28 19:08 作者: Conflagration 時間: 2025-3-28 23:25 作者: 紋章 時間: 2025-3-29 04:46 作者: ULCER 時間: 2025-3-29 07:26
,Model — Interactive Variogram Modeling,the next frontier of materials science, substantially reducing the time and costs required in the discovery and development of innovative materials. Material design aims to identify a set of design variables that exhibit the desired properties. To address this, we apply a two-stage workflow consisti作者: 搖擺 時間: 2025-3-29 12:52
Tony Bridgeman,P. C. Chatwin,C. Plumptonhe similarity between graphs and can be combined with any kernel methods, and ., which are neural networks designed for machine learning such as classification and regression on graphs. We also review ., which enables us to efficiently search desirable drugs in enormous search space.作者: 大量殺死 時間: 2025-3-29 17:28 作者: 審問 時間: 2025-3-29 21:37 作者: crumble 時間: 2025-3-30 02:57
Ute Winkels,Yoko Schlütermann-Sugiyamalds of machine learning, including breakthroughs in chemistry and biology. In this chapter, we explore how analogies between chemical and natural language have inspired the use of Transformers to tackle important bottlenecks in the drug discovery process, such as retrosynthetic planning and chemical作者: 記成螞蟻 時間: 2025-3-30 05:44 作者: Adornment 時間: 2025-3-30 09:51 作者: 摻和 時間: 2025-3-30 15:57
,Hinweise für den eiligen Leser,matics (ESI), informatics at the electronic-structure level, is discussed with particular emphasis on the unique definition of descriptors for machine learning. Since the time-independent Schr?dinger equation describes the information at this level, three ESI methodologies can be suggested: (i) Hami作者: antidepressant 時間: 2025-3-30 19:34
Sofortiger Vollzug und Bekanntmachungeoretical calculations. This method called the data-driven synthesis route development, consists of (i) creating synthetic routes by SRDS and (ii) verifying their feasibility on the basis of transition state (TS) searches using QC calculations. We adopt the AIPHOS/TOSP developed by Funatsu et al. as作者: Extemporize 時間: 2025-3-30 23:33
https://doi.org/10.1007/978-3-7091-5824-1rs on the basis of theoretical chemistry, especially quantum chemistry (QC) and ab initio molecular dynamics (MD) simulations. We focus especially on quantum-chemoinformatics for chemical reaction design and prediction, which is one of the important processes in basic research of drug development. T作者: 不愛防注射 時間: 2025-3-31 03:59 作者: Hangar 時間: 2025-3-31 05:32 作者: 數(shù)量 時間: 2025-3-31 11:23 作者: extinguish 時間: 2025-3-31 16:31
Traumatische Schwindelsyndrome,ntion. However, when compared with areas such as battery technology, catalysis, and magnetic materials, the application of materials informatics within the biomaterials field is less prevalent. In this paper, we first provide an overview of the current status of this field. We introduce representati作者: zonules 時間: 2025-3-31 19:28 作者: 大包裹 時間: 2025-4-1 00:35
Benign Paroxysmal Positional Vertigo (BPPV)s: dispersion term, polarization term, and hydrogen bonding term. The three terms are regarded as a three-dimensional vector. Solubility is determined according to the similarity of the vectors. HSP can be used to determine how much of a compound (drug) is soluble in a given solvent. Here, I will ex作者: nautical 時間: 2025-4-1 03:10
Hiroko Satoh,Kimito Funatsu,Hiroshi YamamotoCovers all aspects of drug development supported by informatics.Shares state-of-the-art knowledge and future directions on the topic.Presents four types of information science and technology in a volu作者: cunning 時間: 2025-4-1 07:14
http://image.papertrans.cn/e/image/284831.jpg作者: Fissure 時間: 2025-4-1 11:56 作者: 新手 時間: 2025-4-1 14:54
pound design. In this chapter, the author shows step-by-step how cheminformatics methods can be used in the screening of candidate compounds for inhaled anesthetics. The first step is to estimate physical properties from molecular structures. These physical properties are then used to screen drug ca
