Search Results - "Binh, P. Nguyen"
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Prediction of FMN Binding Sites in Electron Transport Chains Based on 2-D CNN and PSSM Profiles
Published in IEEE/ACM transactions on computational biology and bioinformatics (01-11-2021)“…Flavin mono-nucleotides (FMNs) are cofactors that hold responsibility for carrying and transferring electrons in the electron transport chain stage of cellular…”
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iEnhancer-ECNN: identifying enhancers and their strength using ensembles of convolutional neural networks
Published in BMC genomics (24-12-2019)“…Enhancers are non-coding DNA fragments which are crucial in gene regulation (e.g. transcription and translation). Having high locational variation and free…”
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Correction: A lightweight classification of adaptor proteins using transformer networks
Published in BMC bioinformatics (11-01-2023)Get full text
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A lightweight classification of adaptor proteins using transformer networks
Published in BMC bioinformatics (04-11-2022)“…Adaptor proteins play a key role in intercellular signal transduction, and dysfunctional adaptor proteins result in diseases. Understanding its structure is…”
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iProDNA-CapsNet: identifying protein-DNA binding residues using capsule neural networks
Published in BMC bioinformatics (27-12-2019)“…Since protein-DNA interactions are highly essential to diverse biological events, accurately positioning the location of the DNA-binding residues is necessary…”
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Classification of adaptor proteins using recurrent neural networks and PSSM profiles
Published in BMC genomics (24-12-2019)“…Adaptor proteins are carrier proteins that play a crucial role in signal transduction. They commonly consist of several modular domains, each having its own…”
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iPromoter-Seqvec: identifying promoters using bidirectional long short-term memory and sequence-embedded features
Published in BMC genomics (03-10-2022)“…Promoters, non-coding DNA sequences located at upstream regions of the transcription start site of genes/gene clusters, are essential regulatory elements for…”
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iPseU-NCP: Identifying RNA pseudouridine sites using random forest and NCP-encoded features
Published in BMC genomics (30-12-2019)“…Pseudouridine modification is most commonly found among various kinds of RNA modification occurred in both prokaryotes and eukaryotes. This biochemical event…”
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iNSP‐GCAAP: Identifying nonclassical secreted proteins using global composition of amino acid properties
Published in Proteomics (Weinheim) (01-01-2023)“…Nonclassical secreted proteins (NSPs) refer to a group of proteins released into the extracellular environment under the facilitation of different biological…”
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Editorial: Prediction of protein-protein interactions (PPIs): the next frontier
Published in Frontiers in molecular biosciences (26-08-2024)Get full text
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Herpes zoster vaccine safety in the Aotearoa New Zealand population: a self-controlled case series study
Published in Nature communications (19-07-2023)“…In Aotearoa New Zealand, zoster vaccine live is used for the prevention of zoster and associated complications in adults. This study assessed the risk of…”
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Predicting Drug-Induced Liver Injury Using Convolutional Neural Network and Molecular Fingerprint-Embedded Features
Published in ACS omega (06-10-2020)“…As a critical issue in drug development and postmarketing safety surveillance, drug-induced liver injury (DILI) leads to failures in clinical trials as well as…”
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Predicting high health-cost users among people with cardiovascular disease using machine learning and nationwide linked social administrative datasets
Published in Health economics review (04-02-2023)“…Objectives To optimise planning of public health services, the impact of high-cost users needs to be considered. However, most of the existing statistical…”
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Postlicensure herpes zoster vaccine effectiveness: systematic review protocol
Published in BMJ open (23-02-2021)“…IntroductionHerpes zoster (HZ) and associated complications inflict substantial morbidity and associated healthcare and socioeconomic burdens. Current…”
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i4mC-GRU: Identifying DNA N4-Methylcytosine sites in mouse genomes using bidirectional gated recurrent unit and sequence-embedded features
Published in Computational and structural biotechnology journal (01-01-2023)“…N4-methylcytosine (4mC) is one of the most common DNA methylation modifications found in both prokaryotic and eukaryotic genomes. Since the 4mC has various…”
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eMIC-AntiKP: Estimating minimum inhibitory concentrations of antibiotics towards Klebsiella pneumoniae using deep learning
Published in Computational and structural biotechnology journal (01-01-2023)“…Nowadays, antibiotic resistance has become one of the most concerning problems that directly affects the recovery process of patients. For years, numerous…”
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COVID-19 vaccine strategies for Aotearoa New Zealand: a mathematical modelling study
Published in The Lancet regional health. Western Pacific (01-10-2021)“…Background: COVID-19 elimination measures, including border closures have been applied in New Zealand. We have modelled the potential effect of vaccination…”
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Robo-advisor using genetic algorithm and BERT sentiments from tweets for hybrid portfolio optimisation
Published in Expert systems with applications (01-10-2021)“…•We proposed two robo-advisors capturing market conditions through Twitter sentiments.•Google’s BERT model was used to convert tweets to sentiments.•Genetic…”
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In silico identification of Histone Deacetylase inhibitors using Streamlined Masked Transformer-based Pretrained features
Published in Methods (San Diego, Calif.) (22-11-2024)“…Histone Deacetylases (HDACs) are enzymes that regulate gene expression by removing acetyl groups from histones. They are involved in various diseases,…”
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Predicting Cardiotoxicity of Molecules Using Attention-Based Graph Neural Networks
Published in Journal of chemical information and modeling (25-03-2024)“…In drug discovery, the search for new and effective medications is often hindered by concerns about toxicity. Numerous promising molecules fail to pass the…”
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