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[PMID]:29339162
[Au] Autor:El-Lakkani A; Ibrahim EM
[Ad] Endereço:Biophysics Department, Faculty of Science, Cairo University, Giza, 12613, Egypt. Electronic address: lakkani@netscape.com.
[Ti] Título:A method to improve prediction of secondary structure for large single RNA sequences.
[So] Source:Biochem Biophys Res Commun;496(2):523-528, 2018 02 05.
[Is] ISSN:1090-2104
[Cp] País de publicação:United States
[La] Idioma:eng
[Ab] Resumo:The function of a particular RNA molecule within an organic system is principally determined by its structure. The current physical methods available for structure determination are time consuming and expensive. Hence, computational methods for structure prediction are often used. The prediction of the structure of a large single sequence of RNA needs a lot of research work. In the present work, a method is introduced to improve the prediction of large single sequence RNA secondary structure obtained by Mfold program using the concept of minimum free energy. The Mfold program contains a constraint option that allows forcing some helices in the predicted structure. In our method, some of the firstly formed hairpins that are expected, by a statistical study, to be present in the real structure are forced in the Mfold predicted structure. The results show improvement, toward the real structure, in the Mfold predicted structure and this gives evidence to the RNA kinetic folding.
[Mh] Termos MeSH primário: RNA/química
[Mh] Termos MeSH secundário: Cinética
Modelos Biológicos
Conformação de Ácido Nucleico
Software
Termodinâmica
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Nm] Nome de substância:
63231-63-0 (RNA)
[Em] Mês de entrada:1803
[Cu] Atualização por classe:180309
[Lr] Data última revisão:
180309
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:180118
[St] Status:MEDLINE


  2 / 93847 MEDLINE  
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[PMID]:29202689
[Au] Autor:Jalili V; Matteucci M; Masseroli M; Ceri S
[Ad] Endereço:Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, 20133, Italy. vahid.jalili@polimi.it.
[Ti] Título:Explorative visual analytics on interval-based genomic data and their metadata.
[So] Source:BMC Bioinformatics;18(1):536, 2017 Dec 04.
[Is] ISSN:1471-2105
[Cp] País de publicação:England
[La] Idioma:eng
[Ab] Resumo:BACKGROUND: With the wide-spreading of public repositories of NGS processed data, the availability of user-friendly and effective tools for data exploration, analysis and visualization is becoming very relevant. These tools enable interactive analytics, an exploratory approach for the seamless "sense-making" of data through on-the-fly integration of analysis and visualization phases, suggested not only for evaluating processing results, but also for designing and adapting NGS data analysis pipelines. RESULTS: This paper presents abstractions for supporting the early analysis of NGS processed data and their implementation in an associated tool, named GenoMetric Space Explorer (GeMSE). This tool serves the needs of the GenoMetric Query Language, an innovative cloud-based system for computing complex queries over heterogeneous processed data. It can also be used starting from any text files in standard BED, BroadPeak, NarrowPeak, GTF, or general tab-delimited format, containing numerical features of genomic regions; metadata can be provided as text files in tab-delimited attribute-value format. GeMSE allows interactive analytics, consisting of on-the-fly cycling among steps of data exploration, analysis and visualization that help biologists and bioinformaticians in making sense of heterogeneous genomic datasets. By means of an explorative interaction support, users can trace past activities and quickly recover their results, seamlessly going backward and forward in the analysis steps and comparative visualizations of heatmaps. CONCLUSIONS: GeMSE effective application and practical usefulness is demonstrated through significant use cases of biological interest. GeMSE is available at http://www.bioinformatics.deib.polimi.it/GeMSE/ , and its source code is available at https://github.com/Genometric/GeMSE under GPLv3 open-source license.
[Mh] Termos MeSH primário: Bases de Dados Genéticas
Genômica/métodos
Metadados
[Mh] Termos MeSH secundário: Células A549
Dexametasona/farmacologia
Etanol/farmacologia
Seres Humanos
Modelos Teóricos
Reconhecimento Automatizado de Padrão
Mapeamento de Interação de Proteínas
Software
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Nm] Nome de substância:
3K9958V90M (Ethanol); 7S5I7G3JQL (Dexamethasone)
[Em] Mês de entrada:1803
[Cu] Atualização por classe:180309
[Lr] Data última revisão:
180309
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:171206
[St] Status:MEDLINE
[do] DOI:10.1186/s12859-017-1945-9


  3 / 93847 MEDLINE  
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[PMID]:29295698
[Au] Autor:Usha T; Shanmugarajan D; Goyal AK; Kumar CS; Middha SK
[Ad] Endereço:Department of Biochemistry, Bangalore University, Bengaluru, Karnataka, India.
[Ti] Título:Recent Updates on Computer-aided Drug Discovery: Time for a Paradigm Shift.
[So] Source:Curr Top Med Chem;17(30):3296-3307, 2017.
[Is] ISSN:1873-4294
[Cp] País de publicação:Netherlands
[La] Idioma:eng
[Ab] Resumo:Computer-Aided Drug Designing (CADD) has gained a wide popularity among biologists and chemists as a part of interdisciplinary drug discovery approach. It plays a vital role in the discovery, design and analysis of drugs in pharmaceutical industry. It is extensively used to reduce cost, time and speed up the early stage development of biologically new active molecules. In the current review we presented a brief review of CADD, merits and demerits, DNA, protein and enzyme as targets, types of CADD: Structure Based Drug Designing (SBDD), Ligand Based Drug Designing (LBDD), Pharmacophore based drug designing (PBDD) and Fragment Based Drug Designing (FBDD), theory behind the types of CADD and their applications. The review also focuses on the in-silico pharmokinetic, pharmacodynamic and toxicity filters or predictions that play a major role in identifying the drug like molecules. Currently in pharmaceutical sciences computational tools and software are exhibiting imperative role in the different stages of drug discovery hence the review throws light on various commercial and freeware available for each step of CADD.
[Mh] Termos MeSH primário: Projeto Auxiliado por Computador
Descoberta de Drogas/métodos
[Mh] Termos MeSH secundário: Animais
Seres Humanos
Preparações Farmacêuticas/metabolismo
Software
[Pt] Tipo de publicação:JOURNAL ARTICLE; REVIEW
[Nm] Nome de substância:
0 (Pharmaceutical Preparations)
[Em] Mês de entrada:1803
[Cu] Atualização por classe:180308
[Lr] Data última revisão:
180308
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:180104
[St] Status:MEDLINE
[do] DOI:10.2174/1568026618666180101163651


  4 / 93847 MEDLINE  
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[PMID]:28451691
[Au] Autor:Zvára K; Tomecková M; Peleska J; Svátek V; Zvárová J
[Ti] Título:Tool-supported Interactive Correction and Semantic Annotation of Narrative Clinical Reports.
[So] Source:Methods Inf Med;56(3):217-229, 2017 May 18.
[Is] ISSN:2511-705X
[Cp] País de publicação:Germany
[La] Idioma:eng
[Ab] Resumo:OBJECTIVES: Our main objective is to design a method of, and supporting software for, interactive correction and semantic annotation of narrative clinical reports, which would allow for their easier and less erroneous processing outside their original context: first, by physicians unfamiliar with the original language (and possibly also the source specialty), and second, by tools requiring structured information, such as decision-support systems. Our additional goal is to gain insights into the process of narrative report creation, including the errors and ambiguities arising therein, and also into the process of report annotation by clinical terms. Finally, we also aim to provide a dataset of ground-truth transformations (specific for Czech as the source language), set up by expert physicians, which can be reused in the future for subsequent analytical studies and for training automated transformation procedures. METHODS: A three-phase preprocessing method has been developed to support secondary use of narrative clinical reports in electronic health record. Narrative clinical reports are narrative texts of healthcare documentation often stored in electronic health records. In the first phase a narrative clinical report is tokenized. In the second phase the tokenized clinical report is normalized. The normalized clinical report is easily readable for health professionals with the knowledge of the language used in the narrative clinical report. In the third phase the normalized clinical report is enriched with extracted structured information. The final result of the third phase is a semi-structured normalized clinical report where the extracted clinical terms are matched to codebook terms. Software tools for interactive correction, expansion and semantic annotation of narrative clinical reports has been developed and the three-phase preprocessing method validated in the cardiology area. RESULTS: The three-phase preprocessing method was validated on 49 anonymous Czech narrative clinical reports in the field of cardiology. Descriptive statistics from the database of accomplished transformations has been calculated. Two cardiologists participated in the annotation phase. The first cardiologist annotated 1500 clinical terms found in 49 narrative clinical reports to codebook terms using the classification systems ICD 10, SNOMED CT, LOINC and LEKY. The second cardiologist validated annotations of the first cardiologist. The correct clinical terms and the codebook terms have been stored in a database. CONCLUSIONS: We extracted structured information from Czech narrative clinical reports by the proposed three-phase preprocessing method and linked it to electronic health records. The software tool, although generic, is tailored for Czech as the specific language of electronic health record pool under study. This will provide a potential etalon for porting this approach to dozens of other less-spoken languages. Structured information can support medical decision making, quality assurance tasks and further medical research.
[Mh] Termos MeSH primário: Registros Eletrônicos de Saúde/normas
Aprendizado de Máquina
Processamento de Linguagem Natural
Semântica
Vocabulário Controlado
Processamento de Texto/normas
Redação/normas
[Mh] Termos MeSH secundário: Acurácia dos Dados
Guias como Assunto
Classificação Internacional de Doenças
Uso Significativo/normas
Software
Interface Usuário-Computador
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Em] Mês de entrada:1803
[Cu] Atualização por classe:180308
[Lr] Data última revisão:
180308
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:170429
[St] Status:MEDLINE
[do] DOI:10.3414/ME16-01-0083


  5 / 93847 MEDLINE  
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[PMID]:27777275
[Au] Autor:Tamborello FP; Trafton JG
[Ad] Endereço:Cogscent, LLC, Houston, TX.
[Ti] Título:Human Error as an Emergent Property of Action Selection and Task Place-Holding.
[So] Source:Hum Factors;59(3):377-392, 2017 05.
[Is] ISSN:1547-8181
[Cp] País de publicação:United States
[La] Idioma:eng
[Ab] Resumo:OBJECTIVE: A computational process model could explain how the dynamic interaction of human cognitive mechanisms produces each of multiple error types. BACKGROUND: With increasing capability and complexity of technological systems, the potential severity of consequences of human error is magnified. Interruption greatly increases people's error rates, as does the presence of other information to maintain in an active state. METHOD: The model executed as a software-instantiated Monte Carlo simulation. It drew on theoretical constructs such as associative spreading activation for prospective memory, explicit rehearsal strategies as a deliberate cognitive operation to aid retrospective memory, and decay. RESULTS: The model replicated the 30% effect of interruptions on postcompletion error in Ratwani and Trafton's Stock Trader task, the 45% interaction effect on postcompletion error of working memory capacity and working memory load from Byrne and Bovair's Phaser Task, as well as the 5% perseveration and 3% omission effects of interruption from the UNRAVEL Task. CONCLUSION: Error classes including perseveration, omission, and postcompletion error fall naturally out of the theory. APPLICATION: The model explains post-interruption error in terms of task state representation and priming for recall of subsequent steps. Its performance suggests that task environments providing more cues to current task state will mitigate error caused by interruption. For example, interfaces could provide labeled progress indicators or facilities for operators to quickly write notes about their task states when interrupted.
[Mh] Termos MeSH primário: Cognição
Simulação por Computador
Memória de Curto Prazo
Análise e Desempenho de Tarefas
[Mh] Termos MeSH secundário: Seres Humanos
Internet
Software
[Pt] Tipo de publicação:JOURNAL ARTICLE; RESEARCH SUPPORT, U.S. GOV'T, NON-P.H.S.
[Em] Mês de entrada:1802
[Cu] Atualização por classe:180308
[Lr] Data última revisão:
180308
[Sb] Subgrupo de revista:IM; S
[Da] Data de entrada para processamento:161026
[St] Status:MEDLINE
[do] DOI:10.1177/0018720816672529


  6 / 93847 MEDLINE  
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[PMID]:29429183
[Au] Autor:Fu T; Zhang K; Zhang XW; Wang ZY
[Ad] Endereço:Department of Otorhinolaryngology Head and Neck Surgery, Affiliated Hospital of Qingdao University, Qingdao 266003, China.
[Ti] Título:[Correlation between patulous Eustachian tube with habitual nasal extraction and acquired middle ear cholesteatoma].
[So] Source:Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi;53(2):131-133, 2018 Feb 07.
[Is] ISSN:1673-0860
[Cp] País de publicação:China
[La] Idioma:chi
[Ab] Resumo:By comparing the clinical characteristics of patulous Eustachian tube with habitual nasal extraction and those of non-Eustachian tube abnormalities, we aimed to investigate the relationship between patulous Eustachian tube and acquired cholesteatoma of middle ear. A total of 218 patients in Affiliated Hospital of Qingdao University from November 2011 to November 2016 who underwent surgical treatment and with complete data of acquired cholesteatoma of middle ear were enrolled. The patients were divided into two groups: patulous Eustachian tube with habitual nasal extraction and non-Patulous Eustachian tube. Their ages of onset , sides, characteristics of acoustic immitance, clinical manifestations, prognosis and complications were compared. The statistical analysis was carried out with SPSS 19.0 software. Among the 218 cases of acquired cholesteatoma of the middle ear, 22 cases were diagnosed as patulous Eustachian tube with habitual nasal extraction [with average age of (35.7±7.5) years]; 196 cases were diagnosed as non-patulous Eustachian tube [with average age of (47.8±20.1) years]. The average age of the patulous Eustachian tube with habitual nasal extraction was significantly lower than that of the non-patulous Eustachian tube group ( =4.25, <0.01). Ratio of bilateral middle ear cholesteatoma in patulous Eustachian tube [68.2%(15/22)] was significantly higher than that of the non-patulous Eustachian tube group [18.9%(37/196)] (χ(2)=26.47, <0.01). Some acquired cholesteatoma patients are associated with the patulous Eustachian tube with habitual nasal extraction. The patients have a lower age, and are susceptible for bilateral middle ear cholesteatoma.
[Mh] Termos MeSH primário: Colesteatoma da Orelha Média/diagnóstico
Tuba Auditiva
[Mh] Termos MeSH secundário: Acústica
Adulto
Idade de Início
Colesteatoma da Orelha Média/etiologia
Seres Humanos
Nariz
Otite Média/diagnóstico
Prognóstico
Software
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Em] Mês de entrada:1803
[Cu] Atualização por classe:180307
[Lr] Data última revisão:
180307
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:180213
[St] Status:MEDLINE
[do] DOI:10.3760/cma.j.issn.1673-0860.2018.02.009


  7 / 93847 MEDLINE  
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[PMID]:29422654
[Au] Autor:Marcou Q; Mora T; Walczak AM
[Ad] Endereço:Laboratoire de Physique Théorique, CNRS, Sorbonne Université and École Normale Supérieure (PSL), 24, Rue Lhomond, 75005, Paris, France.
[Ti] Título:High-throughput immune repertoire analysis with IGoR.
[So] Source:Nat Commun;9(1):561, 2018 02 08.
[Is] ISSN:2041-1723
[Cp] País de publicação:England
[La] Idioma:eng
[Ab] Resumo:High-throughput immune repertoire sequencing is promising to lead to new statistical diagnostic tools for medicine and biology. Successful implementations of these methods require a correct characterization, analysis, and interpretation of these data sets. We present IGoR (Inference and Generation Of Repertoires)-a comprehensive tool that takes B or T cell receptor sequence reads and quantitatively characterizes the statistics of receptor generation from both cDNA and gDNA. It probabilistically annotates sequences and its modular structure can be used to investigate models of increasing biological complexity for different organisms. For B cells, IGoR returns the hypermutation statistics, which we use to reveal co-localization of hypermutations along the sequence. We demonstrate that IGoR outperforms existing tools in accuracy and estimate the sample sizes needed for reliable repertoire characterization.
[Mh] Termos MeSH primário: Linfócitos B/imunologia
Receptores de Antígenos de Linfócitos B/genética
Receptores de Antígenos de Linfócitos T/genética
Software
Linfócitos T/imunologia
Recombinação V(D)J
[Mh] Termos MeSH secundário: Linfócitos B/citologia
Sequência de Bases
Benchmarking
DNA Complementar/genética
DNA Complementar/imunologia
Expressão Gênica
Sequenciamento de Nucleotídeos em Larga Escala
Seres Humanos
Imunidade Inata
Anotação de Sequência Molecular
Receptores de Antígenos de Linfócitos B/imunologia
Receptores de Antígenos de Linfócitos T/imunologia
Linfócitos T/citologia
[Pt] Tipo de publicação:JOURNAL ARTICLE; RESEARCH SUPPORT, NON-U.S. GOV'T
[Nm] Nome de substância:
0 (DNA, Complementary); 0 (Receptors, Antigen, B-Cell); 0 (Receptors, Antigen, T-Cell)
[Em] Mês de entrada:1803
[Cu] Atualização por classe:180307
[Lr] Data última revisão:
180307
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:180210
[St] Status:MEDLINE
[do] DOI:10.1038/s41467-018-02832-w


  8 / 93847 MEDLINE  
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[PMID]:29244014
[Au] Autor:Aganezov SS; Alekseyev MA
[Ad] Endereço:Princeton University, 35 Olden St., Princeton, 08450, NJ, USA. aganezov@cs.princeton.edu.
[Ti] Título:CAMSA: a tool for comparative analysis and merging of scaffold assemblies.
[So] Source:BMC Bioinformatics;18(Suppl 15):496, 2017 Dec 06.
[Is] ISSN:1471-2105
[Cp] País de publicação:England
[La] Idioma:eng
[Ab] Resumo:BACKGROUND: Despite the recent progress in genome sequencing and assembly, many of the currently available assembled genomes come in a draft form. Such draft genomes consist of a large number of genomic fragments (scaffolds), whose positions and orientations along the genome are unknown. While there exists a number of methods for reconstruction of the genome from its scaffolds, utilizing various computational and wet-lab techniques, they often can produce only partial error-prone scaffold assemblies. It therefore becomes important to compare and merge scaffold assemblies produced by different methods, thus combining their advantages and highlighting present conflicts for further investigation. These tasks may be labor intensive if performed manually. RESULTS: We present CAMSA-a tool for comparative analysis and merging of two or more given scaffold assemblies. The tool (i) creates an extensive report with several comparative quality metrics; (ii) constructs the most confident merged scaffold assembly; and (iii) provides an interactive framework for a visual comparative analysis of the given assemblies. Among the CAMSA features, only scaffold merging can be evaluated in comparison to existing methods. Namely, it resembles the functionality of assembly reconciliation tools, although their primary targets are somewhat different. Our evaluations show that CAMSA produces merged assemblies of comparable or better quality than existing assembly reconciliation tools while being the fastest in terms of the total running time. CONCLUSIONS: CAMSA addresses the current deficiency of tools for automated comparison and analysis of multiple assemblies of the same set scaffolds. Since there exist numerous methods and techniques for scaffold assembly, identifying similarities and dissimilarities across assemblies produced by different methods is beneficial both for the developers of scaffold assembly algorithms and for the researchers focused on improving draft assemblies of specific organisms.
[Mh] Termos MeSH primário: Mapeamento Cromossômico/métodos
Genômica/métodos
Software
[Mh] Termos MeSH secundário: Algoritmos
Genoma
Alinhamento de Sequência
Análise de Sequência de DNA
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Em] Mês de entrada:1803
[Cu] Atualização por classe:180307
[Lr] Data última revisão:
180307
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:171216
[St] Status:MEDLINE
[do] DOI:10.1186/s12859-017-1919-y


  9 / 93847 MEDLINE  
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[PMID]:29244015
[Au] Autor:Crosby RW; Williams TL
[Ad] Endereço:Department of Computer Science, College of Charleston, Charleston, SC, USA. crosbyrw@cofc.edu.
[Ti] Título:Fast algorithms for computing phylogenetic divergence time.
[So] Source:BMC Bioinformatics;18(Suppl 15):514, 2017 Dec 06.
[Is] ISSN:1471-2105
[Cp] País de publicação:England
[La] Idioma:eng
[Ab] Resumo:BACKGROUND: The inference of species divergence time is a key step in most phylogenetic studies. Methods have been available for the last ten years to perform the inference, but the performance of the methods does not yet scale well to studies with hundreds of taxa and thousands of DNA base pairs. For example a study of 349 primate taxa was estimated to require over 9 months of processing time. In this work, we present a new algorithm, AncestralAge, that significantly improves the performance of the divergence time process. RESULTS: As part of AncestralAge, we demonstrate a new method for the computation of phylogenetic likelihood and our experiments show a 90% improvement in likelihood computation time on the aforementioned dataset of 349 primates taxa with over 60,000 DNA base pairs. Additionally, we show that our new method for the computation of the Bayesian prior on node ages reduces the running time for this computation on the 349 taxa dataset by 99%. CONCLUSION: Through the use of these new algorithms we open up the ability to perform divergence time inference on large phylogenetic studies.
[Mh] Termos MeSH primário: Algoritmos
Biologia Computacional/métodos
Filogenia
Análise de Sequência de DNA/métodos
[Mh] Termos MeSH secundário: Animais
Primatas/classificação
Primatas/genética
Software
Fatores de Tempo
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Em] Mês de entrada:1803
[Cu] Atualização por classe:180307
[Lr] Data última revisão:
180307
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:171216
[St] Status:MEDLINE
[do] DOI:10.1186/s12859-017-1916-1


  10 / 93847 MEDLINE  
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[PMID]:29244012
[Au] Autor:Jelínek J; Skoda P; Hoksza D
[Ad] Endereço:Department of Software Engineering, Faculty of Mathematics and Physics, Charles University, Ke Karlovu 3, Prague 2, Czech Republic. jelinek@ksi.mff.cuni.cz.
[Ti] Título:Utilizing knowledge base of amino acids structural neighborhoods to predict protein-protein interaction sites.
[So] Source:BMC Bioinformatics;18(Suppl 15):492, 2017 Dec 06.
[Is] ISSN:1471-2105
[Cp] País de publicação:England
[La] Idioma:eng
[Ab] Resumo:BACKGROUND: Protein-protein interactions (PPI) play a key role in an investigation of various biochemical processes, and their identification is thus of great importance. Although computational prediction of which amino acids take part in a PPI has been an active field of research for some time, the quality of in-silico methods is still far from perfect. RESULTS: We have developed a novel prediction method called INSPiRE which benefits from a knowledge base built from data available in Protein Data Bank. All proteins involved in PPIs were converted into labeled graphs with nodes corresponding to amino acids and edges to pairs of neighboring amino acids. A structural neighborhood of each node was then encoded into a bit string and stored in the knowledge base. When predicting PPIs, INSPiRE labels amino acids of unknown proteins as interface or non-interface based on how often their structural neighborhood appears as interface or non-interface in the knowledge base. We evaluated INSPiRE's behavior with respect to different types and sizes of the structural neighborhood. Furthermore, we examined the suitability of several different features for labeling the nodes. Our evaluations showed that INSPiRE clearly outperforms existing methods with respect to Matthews correlation coefficient. CONCLUSION: In this paper we introduce a new knowledge-based method for identification of protein-protein interaction sites called INSPiRE. Its knowledge base utilizes structural patterns of known interaction sites in the Protein Data Bank which are then used for PPI prediction. Extensive experiments on several well-established datasets show that INSPiRE significantly surpasses existing PPI approaches.
[Mh] Termos MeSH primário: Aminoácidos
Bases de Conhecimento
Mapeamento de Interação de Proteínas/métodos
Proteínas
Software
[Mh] Termos MeSH secundário: Aminoácidos/química
Aminoácidos/metabolismo
Biologia Computacional
Bases de Dados de Proteínas
Modelos Estatísticos
Proteínas/química
Proteínas/metabolismo
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Nm] Nome de substância:
0 (Amino Acids); 0 (Proteins)
[Em] Mês de entrada:1803
[Cu] Atualização por classe:180307
[Lr] Data última revisão:
180307
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:171216
[St] Status:MEDLINE
[do] DOI:10.1186/s12859-017-1921-4



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