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Drug clustering
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We present Beyondcell, a computational methodology for identifying tumour cell subpopulations with distinct drug responses in single-cell RNA-seq data and proposing cancer-specific treatments. Our method calculates an enrichment score in a collection of drug signatures, delineating therapeutic clusters (TCs) within cellular populations.
15p
vibransone
28-03-2024
2
1
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Ebook "Pattern recognition in bioinformatics: 5th IAPR international conference, PRIB 2010 Nijmegen, The Netherlands, September 22-24, 2010 proceedings" has two main objectives: the creation and maintenance of biological databases and the analysis of life sciences data in order to unravel the mysteries of biological function. Computer science methods such as pattern recognition, machine learning, and data mining have a great deal to offer the field of bioinformatics.
458p
tachieuhoa
28-01-2024
4
2
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We aimed to investigate to what extent clustering of related drug interaction alerts (drug-drug and drug-disease interaction alerts) would decrease the alert rate in clinical decision support systems (CDSSs).
6p
visteverogers
24-06-2023
3
2
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Evidence regarding clinically relevant efects of interventions aiming at reducing polypharmacy is weak, especially for the primary care setting. This study was initiated with the objective to achieve clinical benefts for older patients (aged 75+) by means of evidence-based reduction of polypharmacy (defned as ≥8 prescribed drugs) and inappropriate prescribing in general practice.
19p
vinobelprisen
26-03-2022
13
4
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Amplicon deep sequencing permits sensitive detection of minority clones and improves discriminatory power for genotyping multi-clone Plasmodium falciparum infections. New amplicon sequencing and data analysis protocols are needed for genotyping in epidemiological studies and drug efficacy trials of P. falciparum.
13p
vilarryellison
29-10-2021
21
1
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Hepatitis C is a major public health problem in the United States and worldwide. Outbreaks of hepatitis C virus (HCV) infections associated with unsafe injection practices, drug diversion, and other exposures to blood are difficult to detect and investigate. Effective HCV outbreak investigation requires comprehensive surveillance and robust case investigation. We previously developed and validated a methodology for the rapid and cost-effective identification of HCV transmission clusters.
12p
vilarryellison
29-10-2021
13
1
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Ural genetic family is a part of the Euro-American lineage of Mycobacterium tuberculosis and is endemic in Northern Eurasia (former Soviet Union [FSU]). These strains were long described as drug susceptible and of low virulence, but recent studies reported an increasing circulation of the multidrug-resistant (MDR) and extensively drug-resistant (XDR) Ural strains.
9p
vitzuyu2711
29-09-2021
10
1
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The detection of protein complexes is of great significance for researching mechanisms underlying complex diseases and developing new drugs. Thus, various computational algorithms have been proposed for protein complex detection.
28p
visilicon2711
20-08-2021
8
1
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Actinoplanes sp. SE50/110 is the natural producer of the diabetes mellitus drug acarbose, which is highly produced during the growth phase and ceases during the stationary phase. In previous works, the growthdependency of acarbose formation was assumed to be caused by a decreasing transcription of the acarbose biosynthesis genes during transition and stationary growth phase.
21p
vijeeni2711
30-06-2021
14
1
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WHO’s directly observed therapy (DOT) strategy for tuberculosis (TB) treatment depends upon a well– organized healthcare system. This study sought to evaluate the effectiveness of self-administered drug intake supported by a family member versus in-clinic DOT.
10p
vimaine2711
26-03-2021
11
2
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Understanding the binding mechanism between gold nanoparticles and biomolecules is a fundamental step for numerous applications in biosensors and targeted drug delivery. This study aims to clarify the adsorption behaviors of CYS and GSH on the gold surface using a small gold Au8 cluster as a model reactant.
9p
larachdumlanat127
02-01-2021
11
2
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Heterogeneously and differentially expressed genes (hDEG) are a common phenomenon due to bio-logical diversity. A hDEG is often observed in gene expression experiments (with two experimental conditions) where it is highly expressed in a few experimental samples, or in drug trial experiments for cancer studies with drug resistance heterogeneity among the disease group.
10p
viwyoming2711
16-12-2020
9
1
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The development of new therapies for orphan genetic diseases represents an extremely important medical and social challenge. Drug repositioning, i.e. finding new indications for approved drugs, could be one of the most cost- and time-effective strategies to cope with this problem, at least in a subset of cases.
10p
viwyoming2711
16-12-2020
10
1
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The complexity of biological data related to the genetic origins of tumour cells, originates significant challenges to glean valuable knowledge that can be used to predict therapeutic responses. In order to discover a link between gene expression profiles and drug responses, a computational framework based on Consensus p-Median clustering is proposed.
19p
vikentucky2711
26-11-2020
16
1
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In this study, clustering was performed using a bitmap representation of HIV reverse transcriptase and protease sequences, to produce an unsupervised classification of HIV sequences. The classification will aid our understanding of the interactions between mutations and drug resistance.
23p
vikentucky2711
26-11-2020
7
1
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Text mining and data integration methods are gaining ground in the field of health sciences due to the exponential growth of bio-medical literature and information stored in biological databases. While such methods mostly try to extract bioentity associations from PubMed, very few of them are dedicated in mining other types of repositories such as chemical databases.
9p
vioklahoma2711
19-11-2020
16
3
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Disulfide-rich peptides (DRPs) are found throughout nature. They are suitable scaffolds for drug development due to their small cores, whose disulfide bonds impart extraordinary chemical and biological stability. A challenge in developing a DRP therapeutic is to engineer binding to a specific target.
16p
vioklahoma2711
19-11-2020
10
1
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Drug repositioning is the process of identifying new uses for existing drugs. Computational drug repositioning methods can reduce the time, costs and risks of drug development by automating the analysis of the relationships in pharmacology networks.
18p
viconnecticut2711
29-10-2020
29
1
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Network inference is crucial for biomedicine and systems biology. Biological entities and their associations are often modeled as interaction networks. Examples include drug protein interaction or gene regulatory networks.
12p
vicolorado2711
23-10-2020
10
1
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Invasive urothelial carcinoma (iUC) is highly similar between dogs and humans in terms of pathologic presentation, molecular subtypes, response to treatment and age at onset. Thus, the dog is an established and relevant model for testing and development of targeted drugs benefiting both canine and human patients.
12p
vijakarta2711
09-06-2020
9
0
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