Drug identification by electroanalysis with multiple classification approaches

2021 ◽  
Author(s):  
Isaac Yves Lopes de Macêdo ◽  
Arlindo Rodrigues Galvão Filho ◽  
Eric de Souza Gil
Keyword(s):  
Drug Identification ◽  
Multiple Classification

scholarly journals Seq-SymRF: a random forest model predicts potential miRNA-disease associations based on information of sequences and clinical symptoms

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Jinlong Li ◽  
Xingyu Chen ◽  
Qixing Huang ◽  
Yang Wang ◽  
Yun Xie ◽  
...  
Keyword(s):  
Random Forest ◽  
Breast Neoplasms ◽  
Clinical Symptoms ◽  
Characteristic Curve ◽  
Vital Role ◽  
Sequence Information ◽  
Source Codes ◽  
Drug Identification ◽  
Disease Associations ◽  
Precision Recall Curve

Abstract Increasing evidence indicates that miRNAs play a vital role in biological processes and are closely related to various human diseases. Research on miRNA-disease associations is helpful not only for disease prevention, diagnosis and treatment, but also for new drug identification and lead compound discovery. A novel sequence- and symptom-based random forest algorithm model (Seq-SymRF) was developed to identify potential associations between miRNA and disease. Features derived from sequence information and clinical symptoms were utilized to characterize miRNA and disease, respectively. Moreover, the clustering method by calculating the Euclidean distance was adopted to construct reliable negative samples. Based on the fivefold cross-validation, Seq-SymRF achieved the accuracy of 98.00%, specificity of 99.43%, sensitivity of 96.58%, precision of 99.40% and Matthews correlation coefficient of 0.9604, respectively. The areas under the receiver operating characteristic curve and precision recall curve were 0.9967 and 0.9975, respectively. Additionally, case studies were implemented with leukemia, breast neoplasms and hsa-mir-21. Most of the top-25 predicted disease-related miRNAs (19/25 for leukemia; 20/25 for breast neoplasms) and 15 of top-25 predicted miRNA-related diseases were verified by literature and dbDEMC database. It is anticipated that Seq-SymRF could be regarded as a powerful high-throughput virtual screening tool for drug research and development. All source codes can be downloaded from https://github.com/LeeKamlong/Seq-SymRF.

scholarly journals Tinjauan Desain Interface Website E-Commerce Wisata Mototravel.id Menggunakan Evaluasi Heuristik

2020 ◽  
Vol 2 (1) ◽  
pp. 43-49
Author(s):  
Danang Tejo Kumoro ◽  
Uswatun Hasanah
Keyword(s):  
Website Design ◽  
Heuristic Evaluation ◽  
Easy Method ◽  
Error Prevention ◽  
Travel Agent ◽  
User Recognition ◽  
Aesthetic Values ◽  
Consistency Error ◽  
Principle Of Complementarity ◽  
Do So

This article is an overview of the website design interface of Lombok travel agencymorotravel.id. This review carried out using a heuristic evaluation introduced by Molich andNielsen that evaluates an interface in an information system. Heuristic evaluation is a guidethat can guide the design or used it as a tool for criticizing a decision taken. The aim is toimprove the model effectively. The evaluation includes visibility of system status, compatibilitybetween the system and the real world, control of user freedom, standards, and consistency,error prevention, user recognition of the system, flexibility and efficiency, aesthetic values andminimum values, system help, help features, and documentation. The purpose of thisevaluation is to measure morotravel.id's interface standard as one of the travel agent websitesin Lombok so that it can become a reference for information systems in the world of tourism.Based on the evaluation, it has stated that overall the morotravel.id site interface is feasible touse because it fulfills the completeness of the principles in the heuristic assessment. Still, ithas some things that need to be improved, especially in the help system and documentation.Heuristic evaluation is pragmatic and easy to do so that it gets quick results. Although thismethod does not produce high certainty, it is a relatively easy method to start an analysis ofinterface design. The hope for the next is the use of more than one way to improve the qualityof the analysis results because it meets the principle of complementarity in each evaluationmethod

DRUG IDENTIFICATION USING PUNCHED FEATURE CARDS

The Lancet ◽  
1975 ◽  
Vol 305 (7906) ◽  
pp. 552-553
Author(s):  
Joan Ritchie ◽  
Patricia Brodlie ◽  
RonaldMcg. Harden
Keyword(s):  
Drug Identification

scholarly journals A Fully Automated High-Throughput Flow Cytometry Screening System Enabling Phenotypic Drug Discovery

2018 ◽  
Vol 23 (7) ◽  
pp. 697-707 ◽  
Author(s):  
John Joslin ◽  
James Gilligan ◽  
Paul Anderson ◽  
Catherine Garcia ◽  
Orzala Sharif ◽  
...  
Keyword(s):  
Flow Cytometry ◽  
Drug Discovery ◽  
High Throughput ◽  
High Throughput Screening ◽  
Screening System ◽  
Preclinical Development ◽  
Drug Identification ◽  
Therapeutic Setting ◽  
Compound Libraries ◽  
Automated Platform

The goal of high-throughput screening is to enable screening of compound libraries in an automated manner to identify quality starting points for optimization. This often involves screening a large diversity of compounds in an assay that preserves a connection to the disease pathology. Phenotypic screening is a powerful tool for drug identification, in that assays can be run without prior understanding of the target and with primary cells that closely mimic the therapeutic setting. Advanced automation and high-content imaging have enabled many complex assays, but these are still relatively slow and low throughput. To address this limitation, we have developed an automated workflow that is dedicated to processing complex phenotypic assays for flow cytometry. The system can achieve a throughput of 50,000 wells per day, resulting in a fully automated platform that enables robust phenotypic drug discovery. Over the past 5 years, this screening system has been used for a variety of drug discovery programs, across many disease areas, with many molecules advancing quickly into preclinical development and into the clinic. This report will highlight a diversity of approaches that automated flow cytometry has enabled for phenotypic drug discovery.

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