Prescriptions

Protein complexes, big data, machine learning and integrative proteomics: lessons learned over a decade of systematic analysis of protein interaction networks.

Elucidation of the networks of physical (functional) interactions present in cells and tissues is fundamental for understanding the molecular organization of biological systems, the mechanistic basis of essential and disease-related processes, and for functional annotation of previously uncharacterized proteins (via guilt-by-association or -correlation). After a decade in the field, we felt it tim...

A Computational-Based Method for Predicting Drug-Target Interactions by Using Stacked Autoencoder Deep Neural Network.

Identifying the interaction between drugs and target proteins is an important area of drug research, which provides a broad prospect for low-risk and faster drug development. However, due to the limitations of traditional experiments when revealing drug-protein interactions (DTIs), the screening of targets not only takes a lot of time and money but also has high false-positive and false-negative r...

From machine learning to deep learning: progress in machine intelligence for rational drug discovery.

Machine intelligence, which is normally presented as artificial intelligence, refers to the intelligence exhibited by computers. In the history of rat...

An artificial neural network to predict resting energy expenditure in obesity.

BACKGROUND & AIMS: The resting energy expenditure (REE) determination is important in nutrition for adequate dietary prescription. The gold standard i...

Protein-protein interaction site predictions with minimum covariance determinant and Mahalanobis distance.

Protein-protein interaction site (PPIS) prediction must deal with the diversity of interaction sites that limits their prediction accuracy. Use of pro...

Intelligent visual localization of wireless capsule endoscopes enhanced by color information.

Wireless capsule endoscopy (WCE) is performed with a miniature swallowable endoscope enabling the visualization of the whole gastrointestinal (GI) tra...

Managing Drug Interactions in Cancer Therapy: A Guide for the Advanced Practitioner.

Mrs. P is a 30-year-old woman who presented to our bone marrow transplant program with myelodysplastic syndrome (MDS). She received a haploidentical a...

Novel Method Proposing Chemical Structures with Desirable Profile of Activities Based on Chemical and Protein Spaces.

Active molecules among numerous chemical structures in a chemical database can be searched easily by statistical prediction of compound-protein intera...

Nonparametric Online Learning Control for Soft Continuum Robot: An Enabling Technique for Effective Endoscopic Navigation.

Bioinspired robotic structures comprising soft actuation units have attracted increasing research interest. Taking advantage of its inherent complianc...

Interaction between SELP genetic polymorphisms with inflammatory cytokine interleukin-6 (IL-6) gene variants on cardiovascular disease in Chinese Han population.

The aim of the study is to investigate the impact of SELP and IL-6 genetic single-nucleotide polymorphisms (SNPs) and its gene-gene interaction on car...

An Ameliorated Prediction of Drug-Target Interactions Based on Multi-Scale Discrete Wavelet Transform and Network Features.

The prediction of drug-target interactions (DTIs) via computational technology plays a crucial role in reducing the experimental cost. A variety of st...

Generic, scalable and decentralized fault detection for robot swarms.

Robot swarms are large-scale multirobot systems with decentralized control which means that each robot acts based only on local perception and on loca...

Human interaction with robotic systems: performance and workload evaluations.

We first tested the effect of differing tactile informational forms (i.e. directional cues vs. static cues vs. dynamic cues) on objective performance ...

Medical capsule robots: A renaissance for diagnostics, drug delivery and surgical treatment.

The advancements in electronics and the progress in nanotechnology have resulted in path breaking development that will transform the way diagnosis an...

A Novel Approach towards Medical Entity Recognition in Chinese Clinical Text.

Medical entity recognition, a basic task in the language processing of clinical data, has been extensively studied in analyzing admission notes in alp...

Using a social robot to teach gestural recognition and production in children with autism spectrum disorders.

While it has been argued that children with autism spectrum disorders are responsive to robot-like toys, very little research has examined the impact ...

Prescription extraction using CRFs and word embeddings.

In medical practices, doctors detail patients' care plan via discharge summaries written in the form of unstructured free texts, which among the other...

Counterfeit Electronic Cigarette Products with Mislabeled Nicotine Concentrations.

OBJECTIVES: We compared nicotine concentrations in one brand of refill fluids that were purchased in 4 countries and labeled 0 mg of nicotine/mL. We t...

A Type-2 fuzzy data fusion approach for building reliable weighted protein interaction networks with application in protein complex detection.

Detecting the protein complexes is an important task in analyzing the protein interaction networks. Although many algorithms predict protein complexes...

Diagnosis of Alzheimer's Disease Based on Structural MRI Images Using a Regularized Extreme Learning Machine and PCA Features.

Alzheimer's disease (AD) is a progressive, neurodegenerative brain disorder that attacks neurotransmitters, brain cells, and nerves, affecting brain f...