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Relevant bibliographies by topics / New Chemical Entity

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Academic literature on the topic 'New Chemical Entity'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "New Chemical Entity"

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Branch, Sarah K., and Israel Agranat. "“New Drug” Designations for New Therapeutic Entities: New Active Substance, New Chemical Entity, New Biological Entity, New Molecular Entity." Journal of Medicinal Chemistry 57, no. 21 (2014): 8729–65. http://dx.doi.org/10.1021/jm402001w.

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Fortes, Amanda C., Antonia Amanda C. Almeida, Francisco Jaime B. Mendonça-Júnior, Rivelilson M. Freitas, José Lamartine Soares-Sobrinho, and Monica Felts de La Roca Soares. "Anxiolytic Properties of New Chemical Entity, 5TIO1." Neurochemical Research 38, no. 4 (2013): 726–31. http://dx.doi.org/10.1007/s11064-013-0970-y.

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Bernard, Bruno A. "Adapalene, a New Chemical Entity with Retinoid Activity." Skin Pharmacology and Physiology 6, no. 1 (1993): 61–69. http://dx.doi.org/10.1159/000211165.

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Colburn, Wayne A. "New Chemical Entity Update: Products Approved for Marketing During 1996." Journal of Clinical Pharmacology 37, no. 3 (1997): 258–60. http://dx.doi.org/10.1002/j.1552-4604.1997.tb04789.x.

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McAfee, Donald A., Jonathan Hadgraft, and Majella E. Lane. "Rotigotine: The first new chemical entity for transdermal drug delivery." European Journal of Pharmaceutics and Biopharmaceutics 88, no. 3 (2014): 586–93. http://dx.doi.org/10.1016/j.ejpb.2014.08.007.

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NOGUCHI, Hideyo, and Yoji TOKUMA. "Toxicology Support ADME Studies for Safety Evaluation of New Chemical Entity." Drug Metabolism and Pharmacokinetics 13, no. 2 (1998): 182–89. http://dx.doi.org/10.2133/dmpk.13.182.

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Akkasi, Abbas, Ekrem Varoğlu, and Nazife Dimililer. "ChemTok: A New Rule Based Tokenizer for Chemical Named Entity Recognition." BioMed Research International 2016 (2016): 1–9. http://dx.doi.org/10.1155/2016/4248026.

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Named Entity Recognition (NER) from text constitutes the first step in many text mining applications. The most important preliminary step for NER systems using machine learning approaches is tokenization where raw text is segmented into tokens. This study proposes an enhanced rule based tokenizer, ChemTok, which utilizes rules extracted mainly from the train data set. The main novelty of ChemTok is the use of the extracted rules in order to merge the tokens split in the previous steps, thus producing longer and more discriminative tokens. ChemTok is compared to the tokenization methods utilize

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Negi, Sakshi, and Ashutosh Badola. "Role of preclinical pharmacokinetics in New Chemical Entity (NCE) development: A review." Asian Journal of Pharmacy and Pharmacology 4, no. 5 (2018): 563–69. http://dx.doi.org/10.31024/ajpp.2018.4.5.4.

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Costa, Salvana Priscylla Manso, Keyla Emanuelle Ramos da Silva, Giovanna Christinne Rocha de Medeiros, et al. "Thermal behavior and compatibility analysis of the new chemical entity LPSF/FZ4." Thermochimica Acta 562 (June 2013): 29–34. http://dx.doi.org/10.1016/j.tca.2013.03.003.

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Tang, Yun, Weiliang Zhu, Kaixian Chen, and Hualiang Jiang. "New technologies in computer-aided drug design: Toward target identification and new chemical entity discovery." Drug Discovery Today: Technologies 3, no. 3 (2006): 307–13. http://dx.doi.org/10.1016/j.ddtec.2006.09.004.

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Dissertations / Theses on the topic "New Chemical Entity"

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Herrmann, Andrea [Verfasser]. "Comparison of a global submission of new biological entity and a new chemical entity – strategic decisions and criteria for implementation / Andrea Herrmann." Bonn : Universitäts- und Landesbibliothek Bonn, 2011. http://d-nb.info/101615612X/34.

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Books on the topic "New Chemical Entity"

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Kettler, Hannah E. Updating the cost of a new chemical entity. Office of Health Economics, 1999.

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Hibbert, D. Brynn, and J. Justin Gooding. Data Analysis for Chemistry. Oxford University Press, 2005. http://dx.doi.org/10.1093/oso/9780195162103.001.0001.

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Chemical data analysis, with aspects of metrology in chemistry and chemometrics, is an evolving discipline where new and better ways of doing things are constantly being developed. This book makes data analysis simple by demystifying the language and whenever possible giving unambiguous ways of doing things. Based on author D. Brynn Hibberts lectures on data analysis to undergraduates and graduate students, Data Analysis for Chemistry covers topics including measurements, means and confidence intervals, hypothesis testing, analysis of variance, and calibration models. The end result is a compr

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Book chapters on the topic "New Chemical Entity"

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Nahler, Gerhard. "new chemical entity (NCE)." In Dictionary of Pharmaceutical Medicine. Springer Vienna, 2009. http://dx.doi.org/10.1007/978-3-211-89836-9_907.

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Adeniji, Adegoke, and Adeboye Adejare. "Chemical and Physical Characterizations of Potential New Chemical Entity." In Preclinical Development Handbook. John Wiley & Sons, Inc., 2007. http://dx.doi.org/10.1002/9780470249031.ch6.

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Zhang, Fa. "Investigation of Degradation Products and Extractables in Developing Topical OTC (Over the Counter) and NCE (New Chemical Entity) Consumer Healthcare Medication Products." In Characterization of Impurities and Degradants Using Mass Spectrometry. John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9780470921371.ch11.

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R., Hema, and Ajantha Devi. "Chemical Named Entity Recognition Using Deep Learning Techniques." In Advances in Computational Intelligence and Robotics. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-7728-8.ch004.

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Chemical entities can be represented in different forms like chemical names, chemical formulae, and chemical structures. Because of the different classification frameworks for chemical names, the task of distinguishing proof or extraction of chemical elements with less ambiguous is considered a major test. Compound named entity recognition (NER) is the initial phase in any chemical-related data extraction strategy. The majority of the chemical NER is done utilizing dictionary-based, rule-based, and machine learning procedures. Recently, deep learning methods have evolved, and, in this chapter, the authors sketch out the various deep learning techniques applied for chemical NER. First, the authors introduced the fundamental concepts of chemical named entity recognition, the textual contents of chemical documents, and how these chemicals are represented in chemical literature. The chapter concludes with the strengths and weaknesses of the above methods and also the types of the chemical entities extracted.

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Hendry, Robin Findlay. "The Existence of Elements, and the Elements of Existence." In What Is A Chemical Element? Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190933784.003.0008.

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Philosophers sometimes discuss the “ontological status” of this or that kind of entity. They should be addressing one of the following questions, or the word ontological is being misused: 1. Does X exist? 2. Under what conditions can X exist? 3. Do we have good reasons to think that X exists? All three questions can be asked about elements, and have been asked. Aristotle criticized the atomist account of chemical combination, according to which elements survive in their compounds. Eighteenth-century chemists rejected the Aristotelian view, although tacitly; they simply assumed that an element lives on in its compounds. Nineteenth-century chemists gradually adopted (an adapted form of) atomism, according to which an element can exist wherever its characteristic atoms do. The periodic table also allowed them to ask, of its empty spaces, whether they correspond to real but unknown elements. Priority disputes forced them to consider when there is sufficient evidence for the discovery of new elements. In the 1920s, IUPAC proposed a very thin definition of an element, according to which an element exists wherever its characteristic nuclear charge does. But according to some scientists, it is now challenged by the fleeting existence of some superheavy elements; if a nucleus cannot survive long enough to acquire a stable electronic structure, then it cannot be said to have any chemical properties. How then can it be called a chemical element? In this paper I explore this latest ontological question, in the light of a sufficiently nuanced understanding of earlier ones. I then relate this discussion to a more general question about existence: the Special Composition Question.

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Bernstein, Elliot R. "Intermolecular Dynamics and Bimolecular Reactions." In Chemical Reactions in Clusters. Oxford University Press, 1996. http://dx.doi.org/10.1093/oso/9780195090048.003.0008.

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The study of clusters has taken the path that is quite typical in physical chemistry research for a newly discovered system or state of matter: (1) elucidation of energy eigenstates, both experimentally and theoretically, (2) elucidation of structure through experiments and calculations of various degrees of sophistication, (3) exploration of system dynamics, and (4) explorations of chemical reactivity within the new system. Indeed, previous review volumes covering cluster research have dealt mostly with eigenstates and structure, with some attention given to the dynamics and reactions of clusters (Bernstein 1990; Halberstadt and Janda 1990; Jena et al. 1987; Weber 1987). The study of all aspects of cluster energy levels, structure, and behavior is both important and useful on a number of different levels. First, cluster research is performed because clusters themselves are a fascinating system in which to study intermolecular interactions and solvation behavior. Second, and perhaps more useful, cluster investigations can lead to a far better understanding of condensed phase and surface systems. With regard to condensed phase dynamics and chemical reactions, clusters provide three very important components for the basic data set: (1) clusters can generate the minimum irreducible set required for a dynamical event or reaction to occur, (2) clusters provide an excellent proving ground for the comparison between experiment and theory because both sets of results can be based on exactly the same systems, and (3) an isolated cluster of minimum size with regard to a dynamical event or reaction is an ideal entity in which to investigate a dynamical or reaction coordinate, its dimensionality, and its dependence on system properties. Of course, clusters are not simply small condensed phase systems: they can express behavior quite different from condensed phase systems. For example, reactions that occur in condensed phases may not occur in clusters; however, these differences can be understood and related to the different properties of the two systems.

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Sivaprakasam, Prathibha, Sureshkumar Anandasadagopan, Tamilselvi Alagumuthu, and Ashok Kumar Pandurangan. "Current Update on Natural Agents Against Triple Negative Breast Cancer." In Advanced Pharmacological Uses of Medicinal Plants and Natural Products. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2094-9.ch005.

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Breast cancer (BC) is sub-categorized into several well-recognized subtypes including estrogen receptor (ER), progesterone receptor (PR), and HER2 triple-negative breast cancer (TNBC). It is a heterogeneous disease entity constituting about 15% of breast cancer cases worldwide. TNBC is associated with poor prognosis and lack of sustained response to conventional chemotherapeutic agents. Although no approved targeted therapy is available for TNBCs, molecular-profiling efforts have revealed promising molecular targets such as the Wnt/β-catenin, STAT3, VEGF, EGFR, polyadenosine ribose polymerase inhibitors (PARPi) and DNA repair pathway, androgen pathway, and NOTCH pathway. Moreover, more research needs to be performed in the area of TNBC aiming at dissecting potential pathways and identifying potential molecular signatures to develop new targeted biologic modifiers. Natural agents are the abundant chemical compounds available from diverse plants. The authors aimed to summarize the current evidence and discuss the natural agents that target TNBC using different pathways.

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Asprion, Norbert, Roger Böttcher, Robert Pack, et al. "Graybox Models - New Opportunities for the Optimization of Entire Processes." In Computer Aided Chemical Engineering. Elsevier, 2017. http://dx.doi.org/10.1016/b978-0-444-63965-3.50018-0.

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Ki Fung, Ho, Christodoulos A. Floudas, Martin S. Taylor, and Robert F.Siliciano. "A new de novo approach for optimizing peptides that inhibit HIV-1 entry." In Computer Aided Chemical Engineering. Elsevier, 2007. http://dx.doi.org/10.1016/s1570-7946(07)80184-2.

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Li, Jie Jack. "Before the Age of Blockbuster Drugs." In Blockbuster Drugs. Oxford University Press, 2014. http://dx.doi.org/10.1093/oso/9780199737680.003.0004.

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Blockbuster drugs are drugs with annual sales over $1 billion these days. As a testimony of changing times, a blockbuster drug was defined as a drug with more than $500 million in annual sales just a decade ago! While these blockbuster drugs save millions of lives and improve the quality of life for millions of others, pharmaceutical companies make considerable profit. In turn, drug makers then spend a tremendous amount of money on research and development of new blockbuster drugs, looking for new ones that will sustain the “life cycle” for the health of both patients (physical and mental) and the drug companies themselves (financial). Pharmaceutical companies are sometimes known as “merchants of life.” Indeed, their products affect people’s lives in many positive ways. But make no mistake; the drug industry is a for-profit entity, responsible to its shareholders. It must make a profit to survive. This is the contradiction of the pharmaceutical industry. However, things were not always like this until the last few decades. The first antihistamine (the substance that counteracts the effects of histamine; see chapter 4 for more details) was discovered by French pharmacologist Daniel Bovet in 1937. Between 1937 and 1941, Bovet conducted more than 3,000 experiments to find the chemical formulas upon which most of the antihistamines now prescribed are based. Antihistamines are effective in treating allergic reactions. His discovery led to development of the first antihistamine drug, diphenhydramine (Antergan), for treating allergies in 1942, but it did not reach the market because of toxicity issues. In 1944, another one of Bovet’s discoveries, pyrilamine (Neoantergan), was produced as a drug. He did not patent it and did not make a penny out of his important discovery. Not all was lost, however; Bovet won the Nobel Prize in Physiology or Medicine in 1957. General Robert Wood Johnson (1845–1910), one of the three brothers who founded Johnson & Johnson, wrote a credo that codified the company’s socially responsible approach to conducting business.

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Conference papers on the topic "New Chemical Entity"

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Reddy, D. Siva, and Krishnendu Sinha. "Effect of Chemical Reaction Rates on Aero-Heating Predictions of Re-Entry Flows." In 48th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition. American Institute of Aeronautics and Astronautics, 2010. http://dx.doi.org/10.2514/6.2010-630.

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Aadnøy, Bernt S. "Increasing Performance of Smart Well Systems by Downhole Chemical Injection." In ASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/omae2018-78580.

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There are many different types of smart well systems such as Inflow Control Valves, Inflow Control Devices and autonomous devices of various designs. The most common inflow system is blank pipe, producing through a screen and into the control valve at the connection sub. To control the functionalities one may use surface control lines, dropping balls or darts or simply let the valves react autonomously to changes downhole. These tools can be deteriorated by erosion, plugging of fines, plugging of of heavy oil residue or by scaling. Scaling is a complicated issue as it often builds up near crit

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De Souza, João Vitor Andrioli, Yohan Bonescki Gumiel, Lucas Emanuel Silva e. Oliveira, and Claudia Maria Cabral Moro. "Named Entity Recognition for Clinical Portuguese Corpus with Conditional Random Fields and Semantic Groups." In Anais do Simpósio Brasileiro de Computação Aplicada à Saúde. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/sbcas.2019.6269.

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Considering the difficulties of extracting entities from Electronic Health Records (EHR) texts in Portuguese, we explore the Conditional Random Fields (CRF) algorithm to build a Named Entity Recognition (NER) system based on a corpus of clinical Portuguese data annotated by experts. We acquaint the challenges and methods to classify Abbreviations, Disorders, Procedures and Chemicals within the texts. By selecting a meaningful set of features, and parameters with the best performance the results demonstrate that the method is promising and may support other biomedical tasks, nonetheless, furthe

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Grelle, Austin L., Young S. Park, and Richard B. Vilim. "Development and Testing of Fault-Diagnosis Algorithms for Reactor Plant Systems." In 2016 24th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/icone24-61024.

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Argonne National Laboratory is further developing fault diagnosis algorithms for use by the operator of a nuclear plant to aid in improved monitoring of overall plant condition and performance. The objective is better management of plant upsets through more timely, informed decisions on control actions with the ultimate goal of improved plant safety, production, and cost management. Integration of these algorithms with visual aids for operators is taking place through a collaboration under the concept of an operator advisory system. This is a software entity whose purpose is to manage and dist

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Cowart, Jim S., Warren Fischer, Len J. Hamilton, Patrick A. Caton, S. Mani Sarathy, and William J. Pitz. "Hydrotreated Renewable Jet Fuel Ignition Delay Performance in a Military Diesel Engine: An Experimental and Modeling Study." In ASME 2012 Internal Combustion Engine Division Fall Technical Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/icef2012-92117.

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In an effort towards predicting the combustion behavior of a new fuel in a conventional diesel engine, Hydrotreated Renewable Jet (HRJ) fuel was first run in a military diesel engine across the entire speed-load operating range. Ignition delay was characterized for this fuel at each operating condition. Next, a HRJ surrogate fuel was developed in order to predict the combustion performance of this new renewable fuel. A chemical ignition delay was then predicted across the speed-load range using a detailed chemical kinetic mechanism model based on an 8-component surrogate representative of HRJ.

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Martocchia, F., S. Baretti, L. Farina, et al. "Efficient Proppant Flowback Prevention Strategy Allows Production of a Multi Fractured Offshore Horizontal Well Equipped with ESP and Screenless Completion." In SPE Energy Resources Conference. SPE, 2014. http://dx.doi.org/10.2118/spe-169959-ms.

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Abstract When production facilities are not equipped with a solid control device, proppant flowback becomes an issue throughout the entire productive life of a screenless multi fractured well. The challenge of minimizing proppant flowback is even more critical when dealing with offshore horizontal wells with ESP systems installed. A wide selection of proppant flowback prevention additives is now available in the industry: most of them work either chemically or mechanically. At low formation temperature (150 F), the effectiveness of some additives such as resin coated proppant or fiber can be l

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Dagaut, Philippe, Guillaume Dayma, Florent Karsenty, and Zeynep Serinyel. "The Combustion of Synthetic Jet Fuels (Gas to Liquid and Coal to Liquid) and Multi-Component Surrogates: Experimental and Modeling Study." In ASME Turbo Expo 2015: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/gt2015-42004.

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Research on synthetic jet fuels production and combustion has recently gained importance because they could help addressing security of supply and sustainable air transportation challenges. The combustion of a 100% Gas to Liquid from Shell (C10.45H23.06; M=148.44 g.mol−1; H/C=2.20; density=737.7 g L−1), a 100% vol. Coal to Liquid from Sasol (C11.06H21.6; M=154.32 g mol−1; H/C=1.95; density= 815.7 g L−1) and surrogates composed of various concentrations of n-decane iso-octane, n-propylcyclohexane, n-propylbenzene, and decalin, were studied in a jet-stirred reactor under the same conditions (tem

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Carvajal, E. I., Y. Caline, M. Rylance, K. Rice, J. Waters, and S. Wells. "Open-Hole Completion Based Mechanical Diversion of Acid/Chemical Stimulation Operations: Design, Deployment and Field Trial Results." In SPE Hydraulic Fracturing Technology Conference. SPE, 2015. http://dx.doi.org/10.2118/spe-173355-ms.

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Abstract The ubiquitous challenge that is faced by chemical stimulation techniques, of any kind, has always been achieving an economic and efficient distribution of the stimulation solution across the exposed reservoir interval. Many have approached this problem from a chemical perspective and others from the use of additives for mechanical diversion; however the very nature of stimulation itself means that a changing injection profile will make efficient diversion by such techniques uncertain and unpredictable. Instead, rather than relying on serendipitous deployment techniques, the approach

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Dagaut, Philippe, and Pascal Diévart. "Experimental and Modeling Study of the Combustion of Synthetic Jet Fuels: Naphtenic Cut and Blend With a GtL Jet Fuel." In ASME Turbo Expo 2016: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/gt2016-56086.

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Research on the production and combustion of synthetic jet fuels has recently gained importance because of their potential for addressing security of supply and sustainable air transportation challenges. The combustion of a 100% naphtenic cut that fits with typical chemical composition of products coming from biomass or coal liquefaction (C12.64H23.64; M=175.32 g.mol−1; H/C=1.87; DCN=39; density=863.1 g.L−1) and a 50% vol. mixture with Gas to Liquid from Shell (mixture: C11.54H23.35; M=161.83 g.mol−1; H/C=2.02; DCN=46; density=800.3 g.L−1) were studied in a jetstirred reactor under the same co

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Eamkajornsiri, Sutee, Ranga Narayanaswami, and Abhijit Chandra. "Wafer Scale Modeling and Control for Yield Improvement in Wafer Planarization." In ASME 2002 International Mechanical Engineering Congress and Exposition. ASMEDC, 2002. http://dx.doi.org/10.1115/imece2002-33454.

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Chemical mechanical polishing (CMP) is a planarization process that produces high quality surfaces both locally and globally. It is one of the key process steps during the fabrication of very large scale integrated (VLSI) chips in integrated circuit (IC) manufacturing. CMP consists of a chemical process and a mechanical process being performed together to reduce height variation across a wafer. High and reliable wafer yield, which is dependent upon uniformity of the material removal rate across the entire wafer, is of critical importance in the CMP process. In this paper, the variations in mat

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Reports on the topic "New Chemical Entity"

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Borrett, Veronica, Melissa Hanham, Gunnar Jeremias, et al. Science and Technology for WMD Compliance Monitoring and Investigations. The United Nations Institute for Disarmament Research, 2020. http://dx.doi.org/10.37559/wmd/20/wmdce11.

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The integration of novel technologies for monitoring and investigating compliance can enhance the effectiveness of regimes related to weapons of mass destruction (WMD). This report looks at the potential role of four novel approaches based on recent technological advances – remote sensing tools; open-source satellite data; open-source trade data; and artificial intelligence (AI) – in monitoring and investigating compliance with WMD treaties. The report consists of short essays from leading experts that introduce particular technologies, discuss their applications in WMD regimes, and consider s

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Douglas, Thomas, Matthew Sturm, Joel Blum, et al. A pulse of mercury and major ions in snowmelt runoff from a small Arctic Alaska watershed. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41203.

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Atmospheric mercury (Hg) is deposited to Polar Regions during springtime atmospheric mercury depletion events (AMDEs) that require halogens and snow or ice surfaces. The fate of this Hg during and following snowmelt is largely unknown. We measured Hg, major ions, and stable water isotopes from the snowpack through the entire spring melt runoff period for two years. Our small (2.5 ha) watershed is near Barrow (now Utqiaġvik), Alaska. We measured discharge, made 10 000 snow depths, and collected over 100 samples of snow and meltwater for chemical analysis in 2008 and 2009 from the watershed snow

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