scholarly journals Taking Aim at the Undruggable

Author(s):  
Niamh Coleman ◽  
Jordi Rodon

The term “undruggable” is used to describe a protein that is not pharmacologically capable of being targeted; recently, however, substantial efforts have been made to turn these proteins into “druggable” targets. Thus, “difficult to drug” or “yet to be drugged” are perhaps more appropriate terms. In cancer, a number of elusive targets fall into this category, including transcription factors such as STAT3, TP53, and MYC. Pharmacologically targeting these intractable proteins is now a key challenge of modern drug development, requiring innovation and the development of new technologies. In this article, we discuss some of the recent technologic and pharmacologic advances that have underpinned the erosion of the concept of undruggability. We describe recent successes in drugging the undruggable RAS ( KRAS G12C and HRAS), and discuss the advances that have led to the validation of further targets previously believed to be undruggable, such as HIF-2α, BCL-2, MDM2, and MLL. Finally, we look to the future and describe important advances that are likely to have a major impact on targeting undruggable targets, such as the advent of proteolysis-targeting chimeras and protein-protein modulators, which are leading to considerable excitement surrounding the development of cancer targets.

2021 ◽  
Vol 14 (4) ◽  
pp. 1781-1790
Author(s):  
Dalia Zaafar ◽  
Toka Elemary ◽  
Yara Abdel Hady ◽  
Aya Essawy

The term "non-druggable" refers to a protein that cannot be targeted pharmacologically; recently, significant efforts have been made to convert these proteins into targets that are reachable or "druggable." Pharmacologically targeting these difficult proteins has emerged as a major challenge in modern drug development, necessitating the innovation and development of new technologies. The idea of using RNA-targeting therapeutics as a platform to reach unreachable targets is very appealing. Antisense oligonucleotides, nucleic acid or aptamers, RNA interference therapeutics, microRNA, and synthetic RNA are examples of RNA-targeting therapeutics. Many of these agents were FDA-approved for the treatment of rare or genetic diseases, as well as molecular markers for disease diagnosis. As a promising type of therapeutic, many studies are being conducted in order for more and more of them to be approved and used in different disease treatments and to shift them from treating rare diseases only to being used as more specific targeting agents in the treatment of various common diseases. This article will look at some of the most recent technological and pharmaceutical advances that have contributed to the erosion of the concept of undruggability.


2000 ◽  
Vol 45 (4) ◽  
pp. 437-439
Author(s):  
Michele Knobel
Keyword(s):  

2021 ◽  
Vol 13 (4) ◽  
pp. 92
Author(s):  
Agnese Augello ◽  
Ignazio Infantino ◽  
Giovanni Pilato ◽  
Gianpaolo Vitale

This paper deals with innovative fruition modalities of cultural heritage sites. Based on two ongoing experiments, four pillars are considered, that is, User Localization, Multimodal Interaction, User Understanding and Gamification. A survey of the existing literature regarding one or more issues related to the four pillars is proposed. It aims to put in evidence the exploitation of these contributions to cultural heritage. It is discussed how a cultural site can be enriched, extended and transformed into an intelligent multimodal environment in this perspective. This new augmented environment can focus on the visitor, analyze his activity and behavior, and make his experience more satisfying, fulfilling and unique. After an in-depth overview of the existing technologies and methodologies for the fruition of cultural interest sites, the two experiments are described in detail and the authors’ vision of the future is proposed.


2021 ◽  
pp. 1-27
Author(s):  
Tiberiu Dragu ◽  
Yonatan Lupu

Abstract How will advances in digital technology affect the future of human rights and authoritarian rule? Media figures, public intellectuals, and scholars have debated this relationship for decades, with some arguing that new technologies facilitate mobilization against the state and others countering that the same technologies allow authoritarians to strengthen their grip on power. We address this issue by analyzing the first game-theoretic model that accounts for the dual effects of technology within the strategic context of preventive repression. Our game-theoretical analysis suggests that technological developments may not be detrimental to authoritarian control and may, in fact, strengthen authoritarian control by facilitating a wide range of human rights abuses. We show that technological innovation leads to greater levels of abuses to prevent opposition groups from mobilizing and increases the likelihood that authoritarians will succeed in preventing such mobilization. These results have broad implications for the human rights regime, democratization efforts, and the interpretation of recent declines in violent human rights abuses.


2000 ◽  
Vol 1 (2) ◽  
pp. 183-190
Author(s):  
Douglas M. Sweeny
Keyword(s):  

2018 ◽  
Vol 108 (09) ◽  
pp. 611-616
Author(s):  
S. F. Schäfer ◽  
U. Bracht

Zukünftige Antriebstechnologien sowie neue Fabrik- und Logistikkonzepte verändern die Rahmenbedingungen der Automobilproduktion grundlegend. Schon heute muss die Strukturlayoutplanung Innovationen und Unsicherheiten in Form von mehr Varianten, abgestimmt in sehr kurzer Zeit, durch die Einbeziehung von weiteren Know-how-Trägern berücksichtigen. Neue Herausforderungen, wie die Planung der Batteriefertigungen, müssen schnell und intuitiv gelöst werden. Einen Beitrag dafür liefert dieser Artikel.   Future technologies in automotive mobility as well as new factory and logistic concepts are changing the framework in car production. Innovations and uncertainties (e. g. the impact of new technologies) have to be taken in consideration for the factory of the future. New tasks, such as planning the assembly of batteries, need to be solved fast and intuitively. This paper presents an approach to this topic.


2021 ◽  
Author(s):  
Armstrong Lee Agbaji

Abstract Historically, the oil and gas industry has been slow and extremely cautious to adopt emerging technologies. But in the Age of Artificial Intelligence (AI), the industry has broken from tradition. It has not only embraced AI; it is leading the pack. AI has not only changed what it now means to work in the oil industry, it has changed how companies create, capture, and deliver value. Thanks, or no thanks to automation, traditional oil industry skills and talents are now being threatened, and in most cases, rendered obsolete. Oil and gas industry day-to-day work is progressively gravitating towards software and algorithms, and today’s workers are resigning themselves to the fact that computers and robots will one day "take over" and do much of their work. The adoption of AI and how it might affect career prospects is currently causing a lot of anxiety among industry professionals. This paper details how artificial intelligence, automation, and robotics has redefined what it now means to work in the oil industry, as well as the new challenges and responsibilities that the AI revolution presents. It takes a deep-dive into human-robot interaction, and underscores what AI can, and cannot do. It also identifies several traditional oilfield positions that have become endangered by automation, addresses the premonitions of professionals in these endangered roles, and lays out a roadmap on how to survive and thrive in a digitally transformed world. The future of work is evolving, and new technologies are changing how talent is acquired, developed, and retained. That robots will someday "take our jobs" is not an impossible possibility. It is more of a reality than an exaggeration. Automation in the oil industry has achieved outcomes that go beyond human capabilities. In fact, the odds are overwhelming that AI that functions at a comparable level to humans will soon become ubiquitous in the industry. The big question is: How long will it take? The oil industry of the future will not need large office complexes or a large workforce. Most of the work will be automated. Drilling rigs, production platforms, refineries, and petrochemical plants will not go away, but how work is done at these locations will be totally different. While the industry will never entirely lose its human touch, AI will be the foundation of the workforce of the future. How we react to the AI revolution today will shape the industry for generations to come. What should we do when AI changes our job functions and workforce? Should we be training AI, or should we be training humans?


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