scholarly journals DrugComb update: a more comprehensive drug sensitivity data repository and analysis portal

2021 ◽  
Author(s):  
Shuyu Zheng ◽  
Jehad Aldahdooh ◽  
Tolou Shadbahr ◽  
Yinyin Wang ◽  
Dalal Aldahdooh ◽  
...  
Keyword(s):  
Drug Combination ◽  
Drug Combinations ◽  
Data Repository ◽  
Graphical Interface ◽  
Network Modelling ◽  
Web Based ◽  
Manual Curation ◽  
Cancer Sample ◽  
Sensitivity Data ◽  
User Friendly

Combinatorial therapies that target multiple pathways have shown great promises for treating complex diseases. DrugComb (https://drugcomb.org/) is a web-based portal for the deposition and analysis of drug combination screening datasets. Since its first release, DrugComb has received continuous updates on the coverage of data resources, as well as on the functionality of the web server to improve the analysis, visualization and interpretation of drug combination screens. Here we report significant updates of DrugComb, including: 1) manual curation and harmonization of more comprehensive drug combination and monotherapy screening data, not only for cancers but also for other diseases such as malaria and COVID-19; 2) enhanced algorithms for assessing the sensitivity and synergy of drug combinations; 3) network modelling tools to visualize the mechanisms of action of drugs or drug combinations for a given cancer sample; and 4) state-of-the-art machine learning models to predict drug combination sensitivity and synergy. These improvements have been provided with more user-friendly graphical interface and faster database infrastructure, which make DrugComb the most comprehensive web-based resources for the study of drug sensitivities for multiple diseases.

scholarly journals LIONESS Lab: a free web-based platform for conducting interactive experiments online

2020 ◽  
Vol 6 (1) ◽  
pp. 95-111 ◽  
Author(s):  
Marcus Giamattei ◽  
Kyanoush Seyed Yahosseini ◽  
Simon Gächter ◽  
Lucas Molleman
Keyword(s):  
Waiting Time ◽  
Graphical Interface ◽  
Online Experiments ◽  
Web Based ◽  
Methodological Challenges ◽  
Online Experimentation ◽  
Key Features ◽  
User Friendly ◽  
Time Form

Abstract LIONESS Lab is a free web-based platform for interactive online experiments. An intuitive, user-friendly graphical interface enables researchers to develop, test, and share experiments online, with minimal need for programming experience. LIONESS Lab provides solutions for the methodological challenges of interactive online experimentation, including ways to reduce waiting time, form groups on-the-fly, and deal with participant dropout. We highlight key features of the software, and show how it meets the challenges of conducting interactive experiments online.

scholarly journals SynToxProfiler: an approach for top drug combination selection based on integrated profiling of synergy, toxicity and efficacy

2019 ◽  
Author(s):  
Aleksandr Ianevski ◽  
Alexander Kononov ◽  
Sanna Timonen ◽  
Tero Aittokallio ◽  
Anil K Giri
Keyword(s):  
Drug Combination ◽  
Ebola Virus ◽  
Clinical Success ◽  
Drug Combinations ◽  
Cancer Drug ◽  
Integrated Analysis ◽  
Web Based ◽  
Prolymphocytic Leukemia ◽  
Anti Cancer ◽  
Healthy Control

AbstractDrug combinations are becoming a standard treatment of many complex diseases due to their capability to overcome resistance to monotherapy. Currently, in the preclinical drug combination screening, the top hits for further study are often selected based on synergy alone, without considering the combination efficacy and toxicity effects, even though these are critical determinants for the clinical success of a therapy. To promote the prioritization of drug combinations based on integrated analysis of synergy, efficacy and toxicity profiles, we implemented a web-based open-source tool, SynToxProfiler (Synergy-Toxicity-Profiler). When applied to 20 anti-cancer drug combinations tested both in healthy control and T-cell prolymphocytic leukemia (T-PLL) patient cells, as well as to 77 anti-viral drug pairs tested on Huh7 liver cell line with and without Ebola virus infection, SynToxProfiler was shown to prioritize synergistic drug pairs with higher selective efficacy (difference between efficacy and toxicity level) as top hits, which offers improved likelihood for clinical success.

Web Based User-Friendly Graphical Interface to Control Robots with ROS Environment

2021 ◽  
Author(s):  
Dinodi Divyanjana Rajapaksha ◽  
Mohamed Nafeel Mohamed Nuhuman ◽  
Sewmini Dananji Gunawardhana ◽  
Atchuthan Sivalingam ◽  
Mohamed Nimran Mohamed Hassan ◽  
...  
Keyword(s):  
Graphical Interface ◽  
Web Based ◽  
User Friendly

scholarly journals ECX: An R Package for Studying Sensitivity of Antimicrobial Substances Using Spiral Plating Technology

2016 ◽  
Vol 17 (3) ◽  
pp. 188-194 ◽  
Author(s):  
Gabriel Andrés Torres-Londoño ◽  
Mary Hausbeck ◽  
Jianjun Hao
Keyword(s):  
R Package ◽  
Large Datasets ◽  
Graphical Interface ◽  
Commercial Software ◽  
Web Based ◽  
Plating Technique ◽  
Antimicrobial Substances ◽  
Sensitivity Studies ◽  
R Packages ◽  
User Friendly

Spiral plating technique is reliable, repeatable, and more efficient than dilution plating methods in studying the efficacy of antimicrobial products. In this method, the concentration of chemicals can be varied at different positions on agar plates, but its calculation requires using a commercial software. To establish a user-friendly and cost-free platform, the R package ECX was developed to calculate chemical concentrations in spiral plating technique. Mathematical models were established for calculating dispensed volume on agar plates using variables (molecular weight and agar height) that affect diffusion. In addition to the R packages, the web-based Shiny extensions ECX, multi, and ppm were developed to provide a graphical interface for calculating individual concentrations, multiple concentrations, and stock concentrations, respectively. No significant differences were observed (P > 0.05) when ECX was compared with the commercial software. The ability to import and process large datasets makes the ECX package a better option for spiral plating technique studies. Furthermore, the multiplatform nature of the ECX package overcomes limitations presented in other software. Therefore, these ECX characteristics can increase the use of the spiral plating technique for sensitivity studies. Accepted for publication 21 June 2016.

scholarly journals Personalized anti-cancer drug combination prediction by an Integrated Multi-level Network

2020 ◽  
Author(s):  
Fangyoumin Feng ◽  
Zhengtao Zhang ◽  
Guohui Ding ◽  
Lijian Hui ◽  
Yixue Li ◽  
...  
Keyword(s):  
Drug Combination ◽  
Hepatocellular Cancer ◽  
Drug Combinations ◽  
Cancer Drug ◽  
Candidate Drug ◽  
Anti Cancer ◽  
Cancer Sample ◽  
Auc Value ◽  
Multi Level ◽  
Better Than

AbstractAnti-cancer drug combination is an effective solution to improve treatment efficacy and overcome resistance. Here we propose a network-based method (DComboNet) to prioritize the candidate drug combinations. The level one model is to predict generalized anti-cancer drug combination effectiveness and level two model is to predict personalized drug combinations. By integrating drugs, genes, pathways and their associations, DComboNet achieves better performance than previous methods, with high AUC value of around 0.8. The level two model performs better than level one model by introducing cancer sample specific transcriptome data into network construction. DComboNet is further applied on finding combinable drugs for sorafenib in hepatocellular cancer, and the results are verified with literatures and cell line experiments. More importantly, three potential mechanism modes of combinations were inferred based on network analysis. In summary, DComboNet is valuable for prioritizing drug combination and the network model may facilitate the understanding of the combination mechanisms.

scholarly journals Interactive Web-based Annotation of Plant MicroRNAs with iwa-miRNA

2020 ◽  
Author(s):  
Ting Zhang ◽  
Jingjing Zhai ◽  
Xiaorong Zhang ◽  
Lei Ling ◽  
Menghan Li ◽  
...  
Keyword(s):  
Plant Species ◽  
Web Application ◽  
Large Scale ◽  
Small Rna Sequencing ◽  
Web Based ◽  
Interactive Mode ◽  
Manual Curation ◽  
Intrinsic Complexity ◽  
Scale Detection ◽  
User Friendly

AbstractMicroRNAs (miRNAs) are important regulators of gene expression. The large-scale detection and profiling of miRNAs has accelerated with the development of high-throughput small RNA sequencing (sRNA-Seq) techniques and bioinformatics tools. However, generating high-quality comprehensive miRNA annotations remains challenging, due to the intrinsic complexity of sRNA-Seq data and inherent limitations of existing miRNA predictions. Here, we present iwa-miRNA, a Galaxy-based framework that can facilitate miRNA annotation in plant species by combining computational analysis and manual curation. iwa-miRNA is specifically designed to generate a comprehensive list of miRNA candidates, bridging the gap between already annotated miRNAs provided by public miRNA databases and new predictions from sRNA-Seq datasets. It can also assist users to select promising miRNA candidates in an interactive mode through the automated and manual steps, contributing to the accessibility and reproducibility of genome-wide miRNA annotation. iwa-miRNA is user-friendly and can be easily deployed as a web application for researchers without programming experience. With flexible, interactive, and easy-to-use features, iwa-miRNA is a valuable tool for annotation of miRNAs in plant species with reference genomes. We illustrated the application of iwa-miRNA for miRNA annotation of plant species with varying complexity. The sources codes and web server of iwa-miRNA is freely accessible at: http://iwa-miRNA.omicstudio.cloud/.

scholarly journals DrugComb: an integrative cancer drug combination data portal

2019 ◽  
Vol 47 (W1) ◽  
pp. W43-W51 ◽  
Author(s):  
Bulat Zagidullin ◽  
Jehad Aldahdooh ◽  
Shuyu Zheng ◽  
Wenyu Wang ◽  
Yinyin Wang ◽  
...  
Keyword(s):  
Drug Combination ◽  
Drug Combinations ◽  
Cancer Drug ◽  
Data Repository ◽  
High Throughput Drug Screening ◽  
Chemical Fingerprints ◽  
Level Data ◽  
Future Drug ◽  
Data Portal ◽  
Informatics Tools

AbstractDrug combination therapy has the potential to enhance efficacy, reduce dose-dependent toxicity and prevent the emergence of drug resistance. However, discovery of synergistic and effective drug combinations has been a laborious and often serendipitous process. In recent years, identification of combination therapies has been accelerated due to the advances in high-throughput drug screening, but informatics approaches for systems-level data management and analysis are needed. To contribute toward this goal, we created an open-access data portal called DrugComb (https://drugcomb.fimm.fi) where the results of drug combination screening studies are accumulated, standardized and harmonized. Through the data portal, we provided a web server to analyze and visualize users’ own drug combination screening data. The users can also effectively participate a crowdsourcing data curation effect by depositing their data at DrugComb. To initiate the data repository, we collected 437 932 drug combinations tested on a variety of cancer cell lines. We showed that linear regression approaches, when considering chemical fingerprints as predictors, have the potential to achieve high accuracy of predicting the sensitivity of drug combinations. All the data and informatics tools are freely available in DrugComb to enable a more efficient utilization of data resources for future drug combination discovery.

scholarly journals DrugComb - an integrative cancer drug combination data portal

2019 ◽  
Author(s):  
Bulat Zagidullin ◽  
Jehad Aldahdooh ◽  
Shuyu Zheng ◽  
Wenyu Wang ◽  
Yinyin Wang ◽  
...  
Keyword(s):  
Drug Combination ◽  
Drug Combinations ◽  
Cancer Drug ◽  
Data Repository ◽  
High Throughput Drug Screening ◽  
Chemical Fingerprints ◽  
Level Data ◽  
Future Drug ◽  
Data Portal ◽  
Informatics Tools

ABSTRACTDrug combination therapy has the potential to enhance efficacy, reduce dose-dependent toxicity and prevent the emergence of drug resistance. However, discovery of synergistic and effective drug combinations has been a laborious and often serendipitous process. In recent years, identification of combination therapies has been accelerated due to the advances in high-throughput drug screening, but informatics approaches for systems-level data management and analysis are needed. To contribute toward this goal, we created an open-access data portal (https://drugcomb.fimm.fi) where the results of drug combination screening studies are accumulated, standardized and harmonized. Through the data portal, we provided the web server to analyze and visualize users’ own drug combination screening data. The users have an option to upload their data to DrugComb, as part of a crowdsourcing data curation effort. To initiate the data repository, we collected 437,932 drug combinations tested on a variety of cancer cell lines. We showed that linear regression approaches, when considering chemical fingerprints as predictors, have the potential to achieve high accuracy of predicting the sensitivity and synergy of drug combinations. All the data and informatics tools are freely available in DrugComb to enable a more efficient utilization of data resources for future drug combination discovery.

The Role of Web Based Accounting Online System 2.0 as the Company's Income and Expense Management

2017 ◽  
Vol 1 (1) ◽  
pp. 44-49
Author(s):  
Nur Azizah ◽  
Dedeh Supriyanti ◽  
Siti Fairuz Aminah Mustapha ◽  
Holly Yang
Keyword(s):  
Financial Management ◽  
Accounting System ◽  
Bank Account ◽  
Web Based ◽  
Online System ◽  
Version 2.0 ◽  
User Friendly ◽  
The Impact ◽  
A Company

In a company, the process of income and expense of money must have a profit-generating goal base. The success of financial management within the company, can be monitored from the ability of the financial management in managing the finances and utilize all the opportunities that exist with as much as possible with the aim to control the company's cash (cash flow) and the impact of generating profits in accordance with expectations. With a web-based online accounting system version 2.0, companies can be given the ease to manage money in and out of the company's cash. It has a user friendly system with navigation that makes it easy for the financial management to use it. Starting from the creation of a company's cash account used as a cash account and corporate bank account on the system, deletion or filing of cash accounts, up to the transfer invoice creation feature, receive and send money. Thus, this system is very effective and efficient in the management of income and corporate cash disbursements.   Keywords:​Accounting Online System, Financial Management, Cash and Bank

Web-Based Peer and Self-Assessment System Design and Development for Elementary School Students

2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Mehmet EMIN KORTAK
Keyword(s):  
Elementary School ◽  
Elementary School Students ◽  
Primary Schools ◽  
Peer Assessment ◽  
Assessment System ◽  
Assessment Process ◽  
School Students ◽  
Self Assessment ◽  
Web Based ◽  
User Friendly

This research aimed at designing and improving the web-based integrated peer and self- assessment. WesPASS (web-based peer-assessment system), developed in this research, allows students to assess their own or their peers’ performance and project assignments and to report about the result of these assessments so that they correct their assignments. This study employed design-based research. The participants included 102 fourth grade primary school students and their 4 teachers from 2 state and 2 private primary schools in Ankara, Kecioren (Turkey) who employed the system and were engaged in a questionnaire survey to assess its quality. The findings were analyzed through quantitative data analysis. The findings revealed that the system can be used by elementary school students for peer and self-assessment system. The participants stated that WesPASS is simple and user-friendly, and it accelerates the assessment process by employing information technology and allows to share opinions 

Sign in / Sign up

Export Citation Format

Share Document