scholarly journals dbCRSR: a manually curated database for regulation of cancer radiosensitivity

Database ◽  
2018 ◽  
Vol 2018 ◽  
Author(s):  
Pengbo Wen ◽  
Junfeng Xia ◽  
Xianbin Cao ◽  
Bin Chen ◽  
Yinping Tao ◽  
...  
Keyword(s):  
Data Mining ◽  
Functional Annotation ◽  
Relevant Literature ◽  
Chemical Compounds ◽  
Multiple Strategies ◽  
The Past ◽  
Intrinsic Radiosensitivity ◽  
Pubmed Database ◽  
Non Coding Rnas ◽  
Radiotherapy Treatment

AbstractRadiotherapy is used to treat approximately 50% of all cancer patients, with varying prognoses. Intrinsic radiosensitivity is an important factor underlying the radiotherapeutic efficacy of this precise treatment. During the past decades, great efforts have been made to improve radiotherapy treatment through multiple strategies. However, invaluable data remains buried in the extensive radiotherapy literature, making it difficult to obtain an overall view of the detailed mechanisms leading to radiosensitivity, thus limiting advances in radiotherapy. To address this issue, we collected data from the relevant literature contained in the PubMed database and developed a literature-based database that we term the cancer radiosensitivity regulation factors database (dbCRSR). dbCRSR is a manually curated catalogue of radiosensitivity, containing multiple radiosensitivity regulation factors (395 coding genes, 119 non-coding RNAs and 306 chemical compounds) with appropriate annotation. To illustrate the value of the data we collected, data mining was performed including functional annotation and network analysis. In summary, dbCRSR is the first literature-based database to focus on radiosensitivity and provides a resource to better understand the detailed mechanisms of radiosensitivity. We anticipate dbCRSR will be a useful resource to enrich our knowledge and to promote further study of radiosensitivity.Database URL: http://bioinfo.ahu.edu.cn:8080/dbCRSR/

scholarly journals 3-Phenylcoumarins as a Privileged Scaffold in Medicinal Chemistry: The Landmarks of the Past Decade

Molecules ◽  
2021 ◽  
Vol 26 (21) ◽  
pp. 6755
Author(s):  
Maria J. Matos ◽  
Eugenio Uriarte ◽  
Lourdes Santana
Keyword(s):  
Medicinal Chemistry ◽  
Review Paper ◽  
Relevant Literature ◽  
Natural Origin ◽  
Drug Candidates ◽  
Heterocyclic Molecules ◽  
The Past ◽  
New Drug ◽  
Privileged Scaffold

3-Phenylcoumarins are a family of heterocyclic molecules that are widely used in both organic and medicinal chemistry. In this overview, research on this scaffold, since 2010, is included and discussed, focusing on aspects related to its natural origin, synthetic procedures and pharmacological applications. This review paper is based on the most relevant literature related to the role of 3-phenylcoumarins in the design of new drug candidates. The references presented in this review have been collected from multiple electronic databases, including SciFinder, Pubmed and Mendeley.

scholarly journals Paradigmaváltás szükségessége a sugárterápiában

2015 ◽  
Vol 156 (44) ◽  
pp. 1763-1768
Author(s):  
Árpád Mayer ◽  
Csilla Katona ◽  
Róbert Farkas ◽  
Zsuzsa Póti
Keyword(s):  
Spinal Cord ◽  
Radiation Injury ◽  
Volumetric Modulated Arc Therapy ◽  
Target Volume ◽  
Intensity Modulated ◽  
The Past ◽  
Arc Therapy ◽  
Intracranial Metastases ◽  
The Status ◽  
Radiotherapy Treatment

The status and indications of radiotherapy have significantly changed in the past decade because novel techniques, radiobiological research and major advances in informatics have made better local control possible. Using supplemented marking of the target volume with computer tomography based other image-making methods adapted made it possible to define the tumor and intact surrounding tissues more precisely. With novel radiotherapy techniques the dosage of the homogenity and the covering in the target volume can be raised optimally, especially with intensity modulated arc radiotherapy (volumetric modulated arc therapy) without causing radiation injury or damage to intact surrounding tissues. Furthermore, with novel techniques and target volume marking, new indications have appeared in clinical practice and besides sterotactic radiotherapy for intracranial metastases, the extracranial so-called oligometastic conditions can be maintained close to a curative state (or in remission) for many years. Among these, perhaps the most striking is the stereotactic radiotherapy treatment of liver, lung and spinal cord metastases in one or more fractions, for which the indispensable condition is the image or respiratory guided technique. Orv. Hetil., 2015, 156(44), 1763–1768.

scholarly journals Regulatory Role of N6-methyladenosine (m6A) Modification in Osteosarcoma

2021 ◽  
Vol 11 ◽  
Author(s):  
Yujie Zhang ◽  
Yanyan Wang ◽  
Liwei Ying ◽  
Sifeng Tao ◽  
Mingmin Shi ◽  
...  
Keyword(s):  
Molecular Mechanism ◽  
Research Trends ◽  
Rna Modification ◽  
Future Research ◽  
Related Factors ◽  
The Past ◽  
Pathophysiological Role ◽  
Primary Bone ◽  
Non Coding Rnas

Osteosarcoma is the most common primary bone malignancy, typically occurring in childhood or adolescence. Unfortunately, the clinical outcomes of patients with osteosarcoma are usually poor because of the aggressive nature of this disease and few treatment advances in the past four decades. N6-methyladenosine (m6A) is one of the most extensive forms of RNA modification in eukaryotes found both in coding and non-coding RNAs. Accumulating evidence suggests that m6A-related factors are dysregulated in multiple osteosarcoma processes. In this review, we highlight m6A modification implicated in osteosarcoma, describing its pathophysiological role and molecular mechanism, as well as future research trends and potential clinical application in osteosarcoma.

Thematic Review of Trends in Inclusive Urban Development Studies (2000- 2020)

2021 ◽  
pp. 362-372
Author(s):  
Samuel Medayese ◽  
Hangwelani Hope Magidimisha-Chipungu ◽  
Ayobami Abayomi Popoola ◽  
Lovemore Chipungu ◽  
Bamiji Michael Adeleye
Keyword(s):  
Urban Development ◽  
Urban Space ◽  
Relevant Literature ◽  
Physical Development ◽  
City Development ◽  
The Past ◽  
Thematic Review ◽  
Definition Of ◽  
The City ◽  
Best Parameters

This study followed a chronological review of literature over the past 20 years. This was able to show relationship between inclusivity and physical development. A variety of discussions were looked into including dimension of inclusivity, definition of inclusivity, scales for measurement of inclusivity, methodology for appraising inclusivity, protagonists of inclusivity, and antagonists of inclusivity. The intricacy of the correlations between inclusive physical development and life expectations of residents are improved upon so as to show the similarities of these parameters. The analysis of the relevant literature indicated the process of enhancing the urban space and ensuring that all interest and strata of groups in the human composition are adequately cared for by employing the best parameters from the conceptualization of the city development, all the indicators of inclusiveness are well thought out.

Combination of Forecasts in Data Mining

2011 ◽  
pp. 589-593
Author(s):  
Chi Kin Chan
Keyword(s):  
Data Mining ◽  
Traditional Approach ◽  
Forecast Accuracy ◽  
Performance Improvements ◽  
The Past ◽  
Aggregate Information ◽  
Forecasting Methods ◽  
Forecasting Method ◽  
Combination Of Forecasts ◽  
Single Method

The traditional approach to forecasting involves choosing the forecasting method judged most appropriate of the available methods and applying it to some specific situations. The choice of a method depends upon the characteristics of the series and the type of application. The rationale behind such an approach is the notion that a “best” method exists and can be identified. Further that the “best” method for the past will continue to be the best for the future. An alternative to the traditional approach is to aggregate information from different forecasting methods by aggregating forecasts. This eliminates the problem of having to select a single method and rely exclusively on its forecasts. Considerable literature has accumulated over the years regarding the combination of forecasts. The primary conclusion of this line of research is that combining multiple forecasts leads to increased forecast accuracy. This has been the result whether the forecasts are judgmental or statistical, econometric or extrapolation. Furthermore, in many cases one can make dramatic performance improvements by simply averaging the forecasts.

Marketing Data Mining

2008 ◽  
pp. 2824-2832
Author(s):  
Victor S.Y. Lo
Keyword(s):  
Data Mining ◽  
Important Application ◽  
Application Area ◽  
Customer Data ◽  
Research Opportunities ◽  
The Past ◽  
Future Behavior ◽  
Marketing Data

Data mining has been widely applied over the past two decades. In particular, marketing is an important application area. Many companies collect large amounts of customer data to understand their customers’ needs and predict their future behavior. This article discusses selected data mining problems in marketing and provides solutions and research opportunities.

Data Mining for Combining Forecasts in Inventory Management

2008 ◽  
pp. 2792-2797
Author(s):  
Chi Kin Chan
Keyword(s):  
Data Mining ◽  
Inventory Management ◽  
Traditional Approach ◽  
The Past ◽  
Aggregate Information ◽  
Forecasting Methods ◽  
Combining Forecasts ◽  
Forecasting Method ◽  
The Future ◽  
Single Method

The traditional approach to forecasting involves choosing the forecasting method judged most appropriate of the available methods and applying it to some specific situations. The choice of a method depends upon the characteristics of the series and the type of application. The rationale behind such an approach is the notion that a “best” method exists and can be identified. Further that the “best” method for the past will continue to be the best for the future. An alternative to the traditional approach is to aggregate information from different forecasting methods by aggregating forecasts. This eliminates the problem of having to select a single method and rely exclusively on its forecasts.

scholarly journals Genomic data mining for functional annotation of human long noncoding RNAs

2019 ◽  
Vol 20 (6) ◽  
pp. 476-487 ◽  
Author(s):  
Brian L. Gudenas ◽  
Jun Wang ◽  
Shu-zhen Kuang ◽  
An-qi Wei ◽  
Steven B. Cogill ◽  
...  
Keyword(s):  
Data Mining ◽  
Functional Annotation ◽  
Noncoding Rnas ◽  
Genomic Data ◽  
Long Noncoding Rnas ◽  
Genomic Data Mining

Tree and Graph Mining

2011 ◽  
pp. 1140-1145
Author(s):  
Dimitrios Katsaros ◽  
Yannis Manolopoulos
Keyword(s):  
Data Mining ◽  
Graph Mining ◽  
Data Mining Techniques ◽  
The Past

During the past decade, we have witnessed an explosive growth in our capabilities to both generate and collect data. Various data mining techniques have been proposed and widely employed to discover valid, novel and potentially useful patterns in these data. Data mining involves the discovery of patterns, associations, changes, anomalies, and statistically significant structures and events in huge collections of data.

scholarly journals Small but Smart: On the Diverse Role of Small Proteins in the Regulation of Cyanobacterial Metabolism

Life ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. 322
Author(s):  
Fabian Brandenburg ◽  
Stephan Klähn
Keyword(s):  
Metabolic Pathways ◽  
Chemical Compounds ◽  
Industrial Processes ◽  
Biotechnological Applications ◽  
Major Focus ◽  
The Past ◽  
Metabolic Fluxes ◽  
Reactor Technology ◽  
Small Proteins

Over the past few decades, bioengineered cyanobacteria have become a major focus of research for the production of energy carriers and high value chemical compounds. Besides improvements in cultivation routines and reactor technology, the integral understanding of the regulation of metabolic fluxes is the key to designing production strains that are able to compete with established industrial processes. In cyanobacteria, many enzymes and metabolic pathways are regulated differently compared to other bacteria. For instance, while glutamine synthetase in proteobacteria is mainly regulated by covalent enzyme modifications, the same enzyme in cyanobacteria is controlled by the interaction with unique small proteins. Other prominent examples, such as the small protein CP12 which controls the Calvin–Benson cycle, indicate that the regulation of enzymes and/or pathways via the attachment of small proteins might be a widespread mechanism in cyanobacteria. Accordingly, this review highlights the diverse role of small proteins in the control of cyanobacterial metabolism, focusing on well-studied examples as well as those most recently described. Moreover, it will discuss their potential to implement metabolic engineering strategies in order to make cyanobacteria more definable for biotechnological applications.

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