Advanced Screening Strategies for Biocatalyst Discovery

2003 ◽  
pp. 159-175 ◽  
Author(s):  
Andreas Schwienhorst
Keyword(s):  
Screening Strategies

INDIVIDUALS' PREFERENCES FOR ESOPHAGEAL CANCER SCREENING STRATEGIES: A DISCRETE CHOICE EXPERIMENT

2019 ◽  
Author(s):  
Y Peters ◽  
E van Grinsven ◽  
M van de Haterd ◽  
D van Lankveld ◽  
J Verbakel ◽  
...  
Keyword(s):  
Esophageal Cancer ◽  
Cancer Screening ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Choice Experiment ◽  
Screening Strategies

Understanding Socially Responsible Investing and Its Implications for Islamic Investment Industry

2019 ◽  
Vol 7 (1) ◽  
pp. 1
Author(s):  
Mohd Nizam Barom
Keyword(s):  
Investment Decision ◽  
Socially Responsible Investing ◽  
Clear Understanding ◽  
Socially Responsible ◽  
Responsible Investment ◽  
Developed Economies ◽  
Responsible Investing ◽  
Screening Strategies ◽  
Investment Process ◽  
Islamic Investment

Understanding Socially Responsible Investing and Its Implications for Islamic Investment Industry // // // // // Social, ethical and environmental concerns have been used as important consideration for investment decision by an increasing number of investors. This can be seen by the size and growth of the socially responsible investment (SRI) industry in the developed economies. At the same time, scholars and commentators of Islamic finance have also called for Islamic investment industry to learn from the experience of SRI in incorporating social responsibility issues in the investment process, in line with the ethical principles of Islam and the overall objective of the Shari’ah (Maqasid al-Shari’ah). This would require Islamic investment sector to have a clear understanding of the SRI industry in order to effectively benefit from its experience. This is particularly critical due to the significant diversity of investors and complexity in the issues and strategies adopted in the SRI industry. Hence, this paper adds to the Islamic investment literature by providing an extensive  and systematic survey of SRI industry in terms of its (i) underlying motivations and values; (ii) issues of concerns; (iii) types of investors; and (iv) screening strategies. It then synthesizes these components within the context of the ‘value-based’ investors. This synthesized framework offers a useful tool for Islamic investment practitioners to understand the theoretical and practical aspects of SRI. Subsequently, the paper highlights important implications of the findings for Islamic investment industry in terms of the issues that it needs to consider in emulating SRI practices and a number of lessons that it can learn from the SRI experience.  

Latest Advances in OBOC Peptide Libraries. Improvements in Screening Strategies and Enlarging the Family From Linear to Cyclic Libraries

2016 ◽  
Vol 17 (5) ◽  
pp. 449-457 ◽  
Author(s):  
Maria C. Martínez-Ceron ◽  
Silvana L. Giudicessi ◽  
Soledad L. Saavedra ◽  
Juan M. Gurevich-Messina ◽  
Rosa Erra-Balsells ◽  
...  
Keyword(s):  
Peptide Libraries ◽  
Screening Strategies ◽  
The Family

Virtual Screening Meets Deep Learning

2018 ◽  
Vol 15 (1) ◽  
pp. 6-28 ◽  
Author(s):  
Javier Pérez-Sianes ◽  
Horacio Pérez-Sánchez ◽  
Fernando Díaz
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Deep Learning ◽  
Virtual Screening ◽  
Great Increase ◽  
New Drugs ◽  
Learning Approach ◽  
Screening Strategies ◽  
Computer Aided ◽  
Recent Developments

Background: Automated compound testing is currently the de facto standard method for drug screening, but it has not brought the great increase in the number of new drugs that was expected. Computer- aided compounds search, known as Virtual Screening, has shown the benefits to this field as a complement or even alternative to the robotic drug discovery. There are different methods and approaches to address this problem and most of them are often included in one of the main screening strategies. Machine learning, however, has established itself as a virtual screening methodology in its own right and it may grow in popularity with the new trends on artificial intelligence. Objective: This paper will attempt to provide a comprehensive and structured review that collects the most important proposals made so far in this area of research. Particular attention is given to some recent developments carried out in the machine learning field: the deep learning approach, which is pointed out as a future key player in the virtual screening landscape.

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