Genetics

Prediction of opioid dose in cancer pain patients using genetic profiling: not yet an option with support vector machine learning.

OBJECTIVE: Use of opioids for pain management has increased over the past decade; however, inadequate analgesic response is common. Genetic variability may be related to opioid efficacy, but due to the many possible combinations and variables, statistical computations may be difficult. This study investigated whether data processing with support vector machine learning could predict required opioi...

Predicting the Effect of Single and Multiple Mutations on Protein Structural Stability.

Predicting how a point mutation alters a protein's stability can guide pharmaceutical drug design initiatives which aim to counter the effects of serious diseases. Conducting mutagenesis studies in physical proteins can give insights about the effects of amino acid substitutions, but such wet-lab work is prohibitive due to the time as well as financial resources needed to assess the effect of even...

Artificial intelligence, physiological genomics, and precision medicine.

Big data are a major driver in the development of precision medicine. Efficient analysis methods are needed to transform big data into clinically-acti...

Prediction of inherited genomic susceptibility to 20 common cancer types by a supervised machine-learning method.

Prevention and early intervention are the most effective ways of avoiding or minimizing psychological, physical, and financial suffering from cancer. ...

A Risk Stratification Model for Lung Cancer Based on Gene Coexpression Network and Deep Learning.

Risk stratification model for lung cancer with gene expression profile is of great interest. Instead of previous models based on individual prognostic...

Enhanced Ant Colony Optimization with Dynamic Mutation and Ad Hoc Initialization for Improving the Design of TSK-Type Fuzzy System.

This paper proposes an enhanced ant colony optimization with dynamic mutation and ad hoc initialization, ACODM-I, for improving the accuracy of Takagi...

Transcriptional Modulation of Penicillin-Binding Protein 1b, Outer Membrane Protein P2 and Efflux Pump (AcrAB-TolC) during Heat Stress Is Correlated to Enhanced Bactericidal Action of Imipenem on Non-typeable .

The purpose of the present study was to investigate the penicillin binding proteins (PBPs), drug influx and efflux modulations during heat stress and...

Graphical classification of DNA sequences of HLA alleles by deep learning.

Alleles of human leukocyte antigen (HLA)-A DNAs are classified and expressed graphically by using artificial intelligence "Deep Learning (Stacked auto...

Meta-Analysis of Expression Datasets: Comparing Virus Infection and Blood-Fed Transcriptomes to Identify Markers of Virus Presence.

The mosquito (L.) is vector of several arboviruses including dengue, yellow fever, chikungunya, and more recently zika. Previous transcriptomic studi...

Revealing Alzheimer's disease genes spectrum in the whole-genome by machine learning.

BACKGROUND: Alzheimer's disease (AD) is an important, progressive neurodegenerative disease, with a complex genetic architecture. A key goal of biomed...

Phytochemicals from Chi Flowers Reduce the Pyocyanin Production and Motility of PAO1.

Chi, known as a medicinal and edible plant in China, exhibits multiple bioactivities, especially antibacterial activity. In this study, we investigat...

A machine learning approach to integrate big data for precision medicine in acute myeloid leukemia.

Cancers that appear pathologically similar often respond differently to the same drug regimens. Methods to better match patients to drugs are in high ...

PlaNC-TE: a comprehensive knowledgebase of non-coding RNAs and transposable elements in plants.

Transposable elements (TEs) play an essential role in the genetic variability of eukaryotic species. In plants, they may comprise up to 90% of the tot...

An end-to-end deep learning architecture for extracting protein-protein interactions affected by genetic mutations.

The BioCreative VI Track IV (mining protein interactions and mutations for precision medicine) challenge was organized in 2017 with the goal of applyi...

Document triage for identifying protein-protein interactions affected by mutations: a neural network ensemble approach.

The precision medicine (PM) initiative promises to identify individualized treatment depending on a patients' genetic profile and their related respon...

AutismKB 2.0: a knowledgebase for the genetic evidence of autism spectrum disorder.

Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder with strong genetic contributions. To provide a comprehensive resource for the...

Gene ontology concept recognition using named concept: understanding the various presentations of the gene functions in biomedical literature.

OBJECTIVE: A major challenge in precision medicine is the development of patient-specific genetic biomarkers or drug targets. The firsthand informatio...

BioCreative VI Precision Medicine Track system performance is constrained by entity recognition and variations in corpus characteristics.

Precision medicine aims to provide personalized treatments based on individual patient profiles. One critical step towards precision medicine is lever...

Combined Activity of Colloid Nanosilver and Essential Oil-Mechanism of Action and Biofilm Removal Activity.

The aim of this study was to investigate antimicrobial and biofilm removal potential of Zataria multiflora essential oil (ZEO) and silver nanoparticl...

Abundance and Species Diversity of Fungi in Rivers with Various Contaminations.

The main objective of this work was to determine the abundance and species diversity of fungi in the waters of selected rivers of Central Europe, NE P...