VII Conference of the Spanish Pharmacogenetics and Pharmacogenomics Society (SEFF). “The role of pharmacogenetics and pharmacogenomics in the XXI century medicine: current state of the art and new challenges”

2018 ◽  
Author(s):  
John P Wilson

This paper summarizes the current state-of-the-art in geomorphometry and describes the innovations that are close at hand and will be required to push digital terrain modeling forward in the future. These innovations will draw on concepts and methods from computer science and the spatial sciences and require greater collaboration to produce “actionable” knowledge and outcomes. The key innovations include rediscovering and using what we already know, developing new digital terrain modeling methods, clarifying and strengthening the role of theory, developing high-fidelity DEMs, developing and embracing new visualization methods, adopting new computational approaches, and making better use of provenance, credibility, and application-content knowledge.


The Analyst ◽  
2018 ◽  
Vol 143 (11) ◽  
pp. 2459-2468 ◽  
Author(s):  
Yuwei Tian ◽  
Brandon T. Ruotolo

The comprehensive structural characterization of therapeutic antibodies is of critical importance for the successful discovery and development of such biopharmaceuticals, yet poses many challenges to modern measurement science. Here, we review the current state-of-the-art mass spectrometry technologies focusing on the characterization of antibody-based therapeutics.


2011 ◽  
Vol 68 (16) ◽  
pp. 2667-2688 ◽  
Author(s):  
Bence György ◽  
Tamás G. Szabó ◽  
Mária Pásztói ◽  
Zsuzsanna Pál ◽  
Petra Misják ◽  
...  

2021 ◽  
Vol 22 (17) ◽  
pp. 9264
Author(s):  
Kinga Piorecka ◽  
Jan Kurjata ◽  
Wlodzimierz A. Stanczyk

The development in the area of novel anticancer prodrugs (conjugates and complexes) has attracted growing attention from many research groups. The dangerous side effects of currently used anticancer drugs, including cisplatin and other platinum based drugs, as well their systemic toxicity is a driving force for intensive search and presents a safer way in delivery platform of active molecules. Silicon based nanocarriers play an important role in achieving the goal of synthesis of the more effective prodrugs. It is worth to underline that silicon based platform including silica and silsesquioxane nanocarriers offers higher stability, biocompatibility of such the materials and pro-longed release of active platinum drugs. Silicon nanomaterials themselves are well-known for improving drug delivery, being themselves non-toxic, and versatile, and tailored surface chemistry. This review summarizes the current state-of-the-art within constructs of silicon-containing nano-carriers conjugated and complexed with platinum based drugs. Contrary to a number of other reviews, it stresses the role of nano-chemistry as a primary tool in the development of novel prodrugs.


2018 ◽  
Vol 17 (1) ◽  
pp. 85-91 ◽  
Author(s):  
Giuseppe Dattilo ◽  
Francesco Borgia ◽  
Claudio Guarneri ◽  
Matteo Casale ◽  
Roberto Bitto ◽  
...  

Psoriasis (Pso) is a chronic inflammatory immune-mediated skin disease associated with several comorbidities. Despite the growing number of studies providing evidence for the link between Pso and Cardiovascular (CV) disorders, there are still many unsolved questions, dealing with the role of the skin disease as an independent risk factor for CV events, the influence of Pso severity and duration on CV damage, the presence of Psoriatic Arthritis (PsA) as a predictor of increased CV mortality and morbidity and the detection of reliable clinical, laboratory and/or instrumental parameters to stratify CV risk in psoriatic patients. Moreover, it remains to clarify if the early treatment of the dermatosis may lower CV risk. In this paper we will try to provide answers to these queries in the light of the updated data of the literature.


PEDIATRICS ◽  
1979 ◽  
Vol 64 (1) ◽  
pp. 125-125
Author(s):  
Miles Weinberger

The excellent review article by Leffert1 and the accompanying commentary by Bergner2 made important points regarding the changing role of the pediatric allergist and the broad requirements for knowledge of any physicians who are to provide specialty care for children with asthma. While the current state of the art allows a high degree of control for this disease,3 considerable morbidity from inadequately treated asthma persists. This situation is unlikely to change rapidly unless departments of pediatrics place a high priority on ensuring that the modern allergist described by Dr. Bergner is on their faculty to teach the current housestaff and provide continuing education for the practitioner; only then will most general pediatricians be able to assume the role envisioned by Dr. Leffert.


2020 ◽  
Vol 34 (01) ◽  
pp. 1169-1176
Author(s):  
Huangzhao Zhang ◽  
Zhuo Li ◽  
Ge Li ◽  
Lei Ma ◽  
Yang Liu ◽  
...  

Automated processing, analysis, and generation of source code are among the key activities in software and system lifecycle. To this end, while deep learning (DL) exhibits a certain level of capability in handling these tasks, the current state-of-the-art DL models still suffer from non-robust issues and can be easily fooled by adversarial attacks.Different from adversarial attacks for image, audio, and natural languages, the structured nature of programming languages brings new challenges. In this paper, we propose a Metropolis-Hastings sampling-based identifier renaming technique, named \fullmethod (\method), which generates adversarial examples for DL models specialized for source code processing. Our in-depth evaluation on a functionality classification benchmark demonstrates the effectiveness of \method in generating adversarial examples of source code. The higher robustness and performance enhanced through our adversarial training with \method further confirms the usefulness of DL models-based method for future fully automated source code processing.


2014 ◽  
Vol 70 (12) ◽  
pp. 1576-1583 ◽  
Author(s):  
Patrick J. Loll

At the time when the first membrane-protein crystal structure was determined, crystallization of these molecules was widely perceived as extremely arduous. Today, that perception has changed drastically, and the process is regarded as routine (or nearly so). On the occasion of the International Year of Crystallography 2014, this review presents a snapshot of the current state of the art, with an emphasis on the role of detergents in this process. A survey of membrane-protein crystal structures published since 2012 reveals that the direct crystallization of protein–detergent complexes remains the dominant methodology; in addition, lipidic mesophases have proven immensely useful, particularly in specific niches, and bicelles, while perhaps undervalued, have provided important contributions as well. Evolving trends include the addition of lipids to protein–detergent complexes and the gradual incorporation of new detergents into the standard repertoire. Stability has emerged as a critical parameter controlling how a membrane protein behaves in the presence of detergent, and efforts to enhance stability are discussed. Finally, although discovery-based screening approaches continue to dwarf mechanistic efforts to unravel crystallization, recent technical advances offer hope that future experiments might incorporate the rational manipulation of crystallization behaviors.


Author(s):  
Benjamin Börschinger ◽  
Mark Johnson

Stress has long been established as a major cue in word segmentation for English infants. We show that enabling a current state-of-the-art Bayesian word segmentation model to take advantage of stress cues noticeably improves its performance. We find that the improvements range from 10 to 4%, depending on both the use of phonotactic cues and, to a lesser extent, the amount of evidence available to the learner. We also find that in particular early on, stress cues are much more useful for our model than phonotactic cues by themselves, consistent with the finding that children do seem to use stress cues before they use phonotactic cues. Finally, we study how the model’s knowledge about stress patterns evolves over time. We not only find that our model correctly acquires the most frequent patterns relatively quickly but also that the Unique Stress Constraint that is at the heart of a previously proposed model does not need to be built in but can be acquired jointly with word segmentation.


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