Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen

The effectiveness of most cancer targeted therapies is short-lived. Tumors often develop resistance that might be overcome with drug combinations. However, the number of possible combinations is vast, necessitating data-driven approaches to find optimal patient-specific treatments. Here we report AstraZeneca's large drug combination dataset, consisting of 11,576 experiments from 910 combinations across 85 molecularly characterized cancer cell lines, and results of a DREAM Challenge to evaluate computational strategies for predicting synergistic drug pairs and biomarkers. 160 teams participated to provide a comprehensive methodological development and benchmarking. Winning methods incorporate prior knowledge of drug-target interactions. Synergy is predicted with an accuracy matching biological replicates for >60% of combinations. However, 20% of drug combinations are poorly predicted by all methods. Genomic rationale for synergy predictions are identified, including ADAM17 inhibitor antagonism when combined with PIK3CB/D inhibition contrasting to synergy when combined with other PI3K-pathway inhibitors in PIK3CA mutant cells

Lessons Learned from Creating a Mobile Version of an Educational Board Game to Increase Situational Awareness

This paper reports on an iterative design process for a serious game, which aims to raise situational awareness among different stakeholders in a logistics value chain by introducing multi-user role-playing games. It does so in several phases: After introducing the field of logistics as a problem domain for an educational challenge, it firstly describes the design of an educational board game for the field of disruption handling in logistics processes. Secondly, it de-scribes how the board game can be realized in an open-source mobile serious games platform and identifies lessons learned based on advantages and issues found. Thirdly, it derives requirements for a re-design of the mobile game and finally draws conclusions.SALOM

Priority control of berth allocation problem in container terminals

This paper presents a decision support system for the core problem of berth allocation decision in a container terminal. The allocation of berths to the calling vessels is complex with the fact that different service level requirements are required for different vessels. Terminal managers demand for effective decision support systems that would aid them with the allocation problem considering service priorities. Consequently, this study provides a DSS, built by a dynamic discrete-event simulation model embedded with an optimization tool that determines the priority controls for the berth allocation to the calling vessels. To show the practical application of the DSS, a comprehensive case study from a Turkish container terminal considering the current state and future expansion plans that also provides an indication of the usability aspect of the program on other ports around the world has been conducted. Further experiments are conducted based on data from the Port of Rotterdam. The DSS presented in this study may help port authorities in determining more efficient allocation decisions within a container terminal

Supply Chain Planning of Off-Shores Winds Farms Operations: A Review

Conference paperInternational audienceThe development of renewable marine energy at sea is at the mind of the energy transition and blue growth in which France is committed. The domain includes the component manufacturing, assembly, installation and maintenance of the offshore wind farm (OWF). However, the global supply chain of the OWF is very complicated. This complexity is due to the size of wind turbine components. Indeed, this latter is very large: a total height of 150 m and a diameter of 120 m and therefore, require special handling and logistics. To avoid disruption of the global supply chain process of offshore wind, all aspects that can impact the latter must be analyzed. Disturbances can range from capacity problems to quality problems via different weather conditions. Between production and offshore installation phase, the supply chain includes onshore transportation, port handling and shipping. For example, any delay in supply will be fundamentally disrupting the production or installation process of the farm. The produced components from a wind turbine cannot be transported as standard components because they are for the most part very bulky and heavy. To take into account these specificities, transport can be made for example at night when it is possible to use exclusive roads. The purpose of this paper aims to realize a review of logistics planning for OWF operations. A classification according to strategic, tactical and operational decision of logistics planning for the OWF operations was conducted

A novel approach to yard planning under vessel arrival uncertainty

10.1007/s10696-011-9124-1Flexible Services and Manufacturing Journal243274-29