Molecular BioSystems最新文献

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Model system based proteomics to understand the host response during bacterial infections 模型系统为基础的蛋白质组学,以了解宿主在细菌感染期间的反应
IF 3.743
Molecular BioSystems Pub Date : 2017-10-19 DOI: 10.1039/C7MB00372B
Arumugam Kamaladevi, Shanmugam Marudhupandiyan and Krishnaswamy Balamurugan
{"title":"Model system based proteomics to understand the host response during bacterial infections","authors":"Arumugam Kamaladevi, Shanmugam Marudhupandiyan and Krishnaswamy Balamurugan","doi":"10.1039/C7MB00372B","DOIUrl":"https://doi.org/10.1039/C7MB00372B","url":null,"abstract":"<p >Infectious diseases caused by bacterial pathogens pose a major concern to public health and, thus, greater attention must be given to providing insightful knowledge on host–pathogen interactions. There are several theories addressing the dynamics of complex mechanisms of host–pathogen interactions. The availability of an ample number of universally accepted model systems, including vertebrates, invertebrates, and mammalian cells, provides in-depth transcriptomics data to evaluate these complex mechanisms during host–pathogen interactions. Recent model system based proteomic studies have addressed the issues related to human diseases by establishing the protein profile of model animals that closely resemble the environment. As a result, model system based proteomics has been widely accepted as a powerful and effective approach to understand the highly complex host–pathogen interfaces at their protein levels. This review offers a snapshot of the contributions of selective model systems on host–bacterial pathogen interactions through proteomic approaches.</p>","PeriodicalId":90,"journal":{"name":"Molecular BioSystems","volume":" 12","pages":" 2489-2497"},"PeriodicalIF":3.743,"publicationDate":"2017-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1039/C7MB00372B","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"3784099","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
The nucleosomal surface is the main target of histone ADP-ribosylation in response to DNA damage 核小体表面是响应DNA损伤的组蛋白adp核糖基化的主要目标
IF 3.743
Molecular BioSystems Pub Date : 2017-10-16 DOI: 10.1039/C7MB00498B
Kelly R. Karch, Marie-France Langelier, John M. Pascal and Benjamin A. Garcia
{"title":"The nucleosomal surface is the main target of histone ADP-ribosylation in response to DNA damage","authors":"Kelly R. Karch, Marie-France Langelier, John M. Pascal and Benjamin A. Garcia","doi":"10.1039/C7MB00498B","DOIUrl":"https://doi.org/10.1039/C7MB00498B","url":null,"abstract":"<p >ADP-ribosylation is a protein post-translational modification catalyzed by ADP-ribose transferases (ARTs). ART activity is critical in mediating many cellular processes, and is required for DNA damage repair. All five histone proteins are extensively ADP-ribosylated by ARTs upon induction of DNA damage. However, how these modifications aid in repair processes is largely unknown, primarily due to lack of knowledge about where they site-specifically occur on histones. Here, we conduct a comprehensive analysis of histone Asp/Glu ADP-ribosylation sites upon DNA damage induced by dimethyl sulfate (DMS). We also demonstrate that incubation of cell nuclei with NAD<small><sup>+</sup></small>, as has been done previously in the literature, leads to spurious ADP-ribosylation levels of histone proteins. Altogether, we were able to identify 30 modification sites, 20 of which are novel. We also quantify the abundance of these modification sites during the course of DNA damage insult to identify which sites are critical for mediating repair. We found that every quantifiable site increases in abundance over time and that each identified ADP-ribosylation site is located on the surface of the nucleosome. Together, the data suggest specific Asp/Glu residues are unlikely to be critical for DNA damage repair and rather that this process is likely dependent on ADP-ribosylation of the nucleosomal surface in general.</p>","PeriodicalId":90,"journal":{"name":"Molecular BioSystems","volume":" 12","pages":" 2660-2671"},"PeriodicalIF":3.743,"publicationDate":"2017-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1039/C7MB00498B","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"3868191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 22
Prediction of drug–pathway interaction pairs with a disease-combined LSA-PU-KNN method 用疾病联合LSA-PU-KNN方法预测药物通路相互作用对
IF 3.743
Molecular BioSystems Pub Date : 2017-10-12 DOI: 10.1039/C7MB00441A
Fan-Shu Chen, Hui-Yan Jiang and Zhenran Jiang
{"title":"Prediction of drug–pathway interaction pairs with a disease-combined LSA-PU-KNN method","authors":"Fan-Shu Chen, Hui-Yan Jiang and Zhenran Jiang","doi":"10.1039/C7MB00441A","DOIUrl":"https://doi.org/10.1039/C7MB00441A","url":null,"abstract":"<p >Prediction of new associations between drugs and targeting pathways can provide valuable clues for drug discovery &amp; development. However, information integration and a class-imbalance problem are important challenges for available prediction methods. This paper proposes a prediction of potential associations between drugs and pathways based on a disease-related LSA-PU-KNN method. Firstly, we built a drug–disease–pathway network and combined the drug–disease and pathway–disease features obtained by different types of feature profiles. Then we applied a latent semantic analysis (LSA) method to perform dimension reduction by combining positive-unlabeled (PU) learning and k nearest neighbors (KNN) method. The experimental results showed that our method can achieve a higher AUC (the area under the ROC curve) and AUPR (the area under the PR curve) than other typical methods. Furthermore, some interesting drug–pathway interaction pairs were identified and validated.</p>","PeriodicalId":90,"journal":{"name":"Molecular BioSystems","volume":" 12","pages":" 2583-2591"},"PeriodicalIF":3.743,"publicationDate":"2017-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1039/C7MB00441A","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"3771723","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Methods for monitoring and measurement of protein translation in time and space 在时间和空间上监测和测量蛋白质翻译的方法
IF 3.743
Molecular BioSystems Pub Date : 2017-10-12 DOI: 10.1039/C7MB00476A
Maria Dermit, Martin Dodel and Faraz K. Mardakheh
{"title":"Methods for monitoring and measurement of protein translation in time and space","authors":"Maria Dermit, Martin Dodel and Faraz K. Mardakheh","doi":"10.1039/C7MB00476A","DOIUrl":"https://doi.org/10.1039/C7MB00476A","url":null,"abstract":"<p >Regulation of protein translation constitutes a crucial step in control of gene expression. In comparison to transcriptional regulation, however, translational control has remained a significantly under-studied layer of gene expression. This trend is now beginning to shift thanks to recent advances in next-generation sequencing, proteomics, and microscopy based methodologies which allow accurate monitoring of protein translation rates, from single target messenger RNA molecules to genome-wide scale studies. In this review, we summarize these recent advances, and discuss how they are enabling researchers to study translational regulation in a wide variety of <em>in vitro</em> and <em>in vivo</em> biological systems, with unprecedented depth and spatiotemporal resolution.</p>","PeriodicalId":90,"journal":{"name":"Molecular BioSystems","volume":" 12","pages":" 2477-2488"},"PeriodicalIF":3.743,"publicationDate":"2017-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1039/C7MB00476A","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"3784098","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 21
Pre-steady-state kinetic analysis of damage recognition by human single-strand selective monofunctional uracil-DNA glycosylase SMUG1† 人单链选择性单功能尿嘧啶- dna糖基酶SMUG1†损伤识别的预稳态动力学分析
IF 3.743
Molecular BioSystems Pub Date : 2017-10-11 DOI: 10.1039/C7MB00457E
Alexandra A. Kuznetsova, Danila A. Iakovlev, Inna V. Misovets, Alexander A. Ishchenko, Murat K. Saparbaev, Nikita A. Kuznetsov and Olga S. Fedorova
{"title":"Pre-steady-state kinetic analysis of damage recognition by human single-strand selective monofunctional uracil-DNA glycosylase SMUG1†","authors":"Alexandra A. Kuznetsova, Danila A. Iakovlev, Inna V. Misovets, Alexander A. Ishchenko, Murat K. Saparbaev, Nikita A. Kuznetsov and Olga S. Fedorova","doi":"10.1039/C7MB00457E","DOIUrl":"https://doi.org/10.1039/C7MB00457E","url":null,"abstract":"<p >In all organisms, DNA glycosylases initiate base excision repair pathways resulting in removal of aberrant bases from DNA. Human SMUG1 belongs to the superfamily of uracil-DNA glycosylases catalyzing the hydrolysis of the <em>N</em>-glycosidic bond of uridine and uridine lesions bearing oxidized groups at C5: 5-hydroxymethyluridine (5hmU), 5-formyluridine (5fU), and 5-hydroxyuridine (5hoU). An apurinic/apyrimidinic (AP) site formed as the product of an <em>N</em>-glycosylase reaction is tightly bound to hSMUG1, thus inhibiting the downstream action of AP-endonuclease APE1. The steady-state kinetic parameters (<em>k</em><small><sub>cat</sub></small> and <em>K</em><small><sub>M</sub></small>; obtained from the literature) correspond to the enzyme turnover process limited by the release of hSMUG1 from the complex with the AP-site. In the present study, our objective was to carry out a stopped-flow fluorescence analysis of the interaction of hSMUG1 with a DNA substrate containing a dU:dG base pair to follow the pre-steady-state kinetics of conformational changes in both molecules. A comparison of kinetic data obtained by means of Trp and 2-aminopurine fluorescence and F?rster resonance energy transfer (FRET) detection allowed us to elucidate the stages of specific and nonspecific DNA binding, to propose the mechanism of damaged base recognition by hSMUG1, and to determine the true rate of the catalytic step. Our results shed light on the kinetic mechanism underlying the initiation of base excision repair by hSMUG1 using the “wedge” strategy for DNA lesion search.</p>","PeriodicalId":90,"journal":{"name":"Molecular BioSystems","volume":" 12","pages":" 2638-2649"},"PeriodicalIF":3.743,"publicationDate":"2017-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1039/C7MB00457E","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"3771728","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 22
Insights into human intrinsically disordered proteins from their gene expression profile† 从基因表达谱了解人类内在无序蛋白†
IF 3.743
Molecular BioSystems Pub Date : 2017-10-11 DOI: 10.1039/C7MB00311K
Arup Panda, Debarun Acharya and Tapash Chandra Ghosh
{"title":"Insights into human intrinsically disordered proteins from their gene expression profile†","authors":"Arup Panda, Debarun Acharya and Tapash Chandra Ghosh","doi":"10.1039/C7MB00311K","DOIUrl":"https://doi.org/10.1039/C7MB00311K","url":null,"abstract":"<p >Expression level provides important clues about gene function. Previously, various efforts have been undertaken to profile human genes according to their expression level. Intrinsically disordered proteins (IDPs) do not adopt any rigid conformation under physiological conditions, however, are considered as an important functional class in all domains of life. Based on a human tissue-averaged gene expression level, previous studies showed that IDPs are expressed at a lower level than ordered globular proteins. Here, we examined the gene expression pattern of human ordered and disordered proteins in 32 normal tissues. We noticed that in most of the tissues, ordered and disordered proteins are expressed at a similar level. Moreover, in a number of tissues IDPs were found to be expressed at a higher level than ordered proteins. Rigorous statistical analyses suggested that the lower tissue-averaged gene expression level of IDPs (reported earlier) may be the consequence of their biased gene expression in some specific tissues and higher protein length. When we considered the gene repertory of each tissue we noticed that a number of human tissues (brain, testes, <em>etc.</em>) selectively express a higher fraction of disordered proteins, which help them to maintain higher protein connectivity by forming disordered binding motifs and to sustain their functional specificities. Our results demonstrated that the disordered proteins are indispensable in these tissues for their functional advantages.</p>","PeriodicalId":90,"journal":{"name":"Molecular BioSystems","volume":" 12","pages":" 2521-2530"},"PeriodicalIF":3.743,"publicationDate":"2017-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1039/C7MB00311K","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"3784102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
NARRMDA: negative-aware and rating-based recommendation algorithm for miRNA–disease association prediction† NARRMDA:用于mirna -疾病关联预测的负面感知和基于评级的推荐算法
IF 3.743
Molecular BioSystems Pub Date : 2017-10-11 DOI: 10.1039/C7MB00499K
Lihong Peng, Yeqing Chen, Ning Ma and Xing Chen
{"title":"NARRMDA: negative-aware and rating-based recommendation algorithm for miRNA–disease association prediction†","authors":"Lihong Peng, Yeqing Chen, Ning Ma and Xing Chen","doi":"10.1039/C7MB00499K","DOIUrl":"https://doi.org/10.1039/C7MB00499K","url":null,"abstract":"<p >An increasing amount of evidence indicates that microRNAs (miRNAs) are closely related to many important biological processes and play a significant role in various human diseases. More and more researchers have begun to seek effective methods to predict potential miRNA–disease associations. However, reliable computational methods to predict potential disease-related miRNAs are lacking. In this study, we developed a new miRNA–disease association prediction model called Negative-Aware and rating-based Recommendation algorithm for miRNA–Disease Association prediction (NARRMDA) based on the known miRNA–disease associations in the HMDD database, miRNA functional similarity, disease semantic similarity and Gaussian interaction profile kernel similarity. NARRMDA combined a rating-based recommendation algorithm and a negative-aware algorithm to score and rank miRNAs without known associations with investigated diseases. Furthermore, we used leave-one-out cross validation to evaluate the accuracy of NARRMDA and compared NARRMDA with four previous classical prediction models (RLSMDA, HDMP, RWRMDA and MCMDA). As it turned out, NARRMDA and the other four prediction models achieved AUCs of 0.8053, 0.6953, 0.7702, 0.7891 and 0.7718, respectively, which proved that NARRMDA has superior performance of prediction accuracy. Furthermore, we verified the prediction results associated with colon neoplasms, esophageal neoplasms, lymphoma and breast neoplasms by two different validation schemas. In these case studies, 92%, 84%, 92%, and 100% of the top 50 potential miRNAs for these four diseases were confirmed by experimental discoveries, respectively. These results further show that NARRMDA has reliable performance of prediction ability.</p>","PeriodicalId":90,"journal":{"name":"Molecular BioSystems","volume":" 12","pages":" 2650-2659"},"PeriodicalIF":3.743,"publicationDate":"2017-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1039/C7MB00499K","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"3868190","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 20
MicroRNA-590-5p regulates cell viability, apoptosis, migration and invasion of renal cell carcinoma cell lines through targeting ARHGAP24 MicroRNA-590-5p通过靶向ARHGAP24调控肾细胞癌细胞系的细胞活力、凋亡、迁移和侵袭
IF 3.743
Molecular BioSystems Pub Date : 2017-10-11 DOI: 10.1039/C7MB00406K
Lei Wang, Wan-qing Wei, Zi-yu Wu and Gong-cheng Wang
{"title":"MicroRNA-590-5p regulates cell viability, apoptosis, migration and invasion of renal cell carcinoma cell lines through targeting ARHGAP24","authors":"Lei Wang, Wan-qing Wei, Zi-yu Wu and Gong-cheng Wang","doi":"10.1039/C7MB00406K","DOIUrl":"https://doi.org/10.1039/C7MB00406K","url":null,"abstract":"<p >Renal cell carcinoma (RCC) is the leading cause of death in renal malignancies. MicroRNA-590-5p (miR-590-5p) is of great importance in the processes of many cancers regarding regulation of cancer cell invasion and proliferation. In our study, alternation of miR-590-5p expression in RCC cell lines through transfection with pre-miR-590-5p (up-regulation) or anti-miR-590-5p (down-regulation) was performed. Apoptosis and viability of RCC cell lines were measured by flow cytometry and CCK-8 analysis, respectively. Cell invasion and migration were estimated by Transwell assay. The association of miR-590-5p with ARHGAP24 expression was evaluated using luciferase assays, real-time PCR and western blot assay. The expressions of apoptosis and migration-related protein were also measured by western blotting. We found that pre-miR-590-5p transfection in Caki-2 and 786-O cells showed significant increases in cell viability, invasion and migration, which were accompanied by decreased cell apoptosis, while anti-miR-590-5p transfection obviously inhibited the cell viability, migration and invasion of Caki-2 and 786-O cells as well as induced apoptosis, compared with the negative control group. Furthermore, bioinformatics combined with luciferase reporter assays indicated that ARHGAP24 is directly targeted by miR-590-5p. ARHGAP24 overexpression in 786-O and Caki-2 cells phenocopied the effects of anti-miR-590-5p transfection along with enhanced expression of active Caspase-3 and Bax/Bcl-2 ratio as well as decreased expression of MMP-2 and MMP-9. These findings suggested that miR-590-5p/ARHGAP24 seems to function as a potentially beneficial target for RCC treatment.</p>","PeriodicalId":90,"journal":{"name":"Molecular BioSystems","volume":" 12","pages":" 2564-2573"},"PeriodicalIF":3.743,"publicationDate":"2017-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1039/C7MB00406K","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"3771721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 17
Molecular dynamics simulations of β2-microglobulin interaction with hydrophobic surfaces β2-微球蛋白与疏水表面相互作用的分子动力学模拟
IF 3.743
Molecular BioSystems Pub Date : 2017-10-09 DOI: 10.1039/C7MB00464H
Cedrix J. Dongmo Foumthuim, Alessandra Corazza, Gennaro Esposito and Federico Fogolari
{"title":"Molecular dynamics simulations of β2-microglobulin interaction with hydrophobic surfaces","authors":"Cedrix J. Dongmo Foumthuim, Alessandra Corazza, Gennaro Esposito and Federico Fogolari","doi":"10.1039/C7MB00464H","DOIUrl":"https://doi.org/10.1039/C7MB00464H","url":null,"abstract":"<p >Hydrophobic surfaces are known to adsorb and unfold proteins, a process that has been studied only for a few proteins. Here we address the interaction of β2-microglobulin, a paradigmatic protein for the study of amyloidogenesis, with hydrophobic surfaces. A system with 27 copies of the protein surrounded by a model cubic hydrophobic box is studied by implicit solvent molecular dynamics simulations. Most proteins adsorb on the walls of the box without major distortions in local geometry, whereas free molecules maintain proper structures and fluctuations as observed in explicit solvent molecular dynamics simulations. The major conclusions from the simulations are as follows: (i) the adopted implicit solvent model is adequate to describe protein dynamics and thermodynamics; (ii) adsorption occurs readily and is irreversible on the simulated timescale; (iii) the regions most involved in molecular encounters and stable interactions with the walls are the same as those that are important in protein–protein and protein–nanoparticle interactions; (iv) unfolding following adsorption occurs at regions found to be flexible by both experiments and simulations; (v) thermodynamic analysis suggests a very large contribution from van der Waals interactions, whereas unfavorable electrostatic interactions are not found to contribute much to adsorption energy. Surfaces with different degrees of hydrophobicity may occur <em>in vivo</em>. Our simulations show that adsorption is a fast and irreversible process which is accompanied by partial unfolding. The results and the thermodynamic analysis presented here are consistent with and rationalize previous experimental work.</p>","PeriodicalId":90,"journal":{"name":"Molecular BioSystems","volume":" 12","pages":" 2625-2637"},"PeriodicalIF":3.743,"publicationDate":"2017-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1039/C7MB00464H","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"3771727","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
A Bayesian approach for estimating protein–protein interactions by integrating structural and non-structural biological data† 结合结构和非结构生物学数据估计蛋白质相互作用的贝叶斯方法
IF 3.743
Molecular BioSystems Pub Date : 2017-10-05 DOI: 10.1039/C7MB00484B
Hafeez Ur Rehman, Inam Bari, Anwar Ali and Haroon Mahmood
{"title":"A Bayesian approach for estimating protein–protein interactions by integrating structural and non-structural biological data†","authors":"Hafeez Ur Rehman, Inam Bari, Anwar Ali and Haroon Mahmood","doi":"10.1039/C7MB00484B","DOIUrl":"https://doi.org/10.1039/C7MB00484B","url":null,"abstract":"<p >Accurate elucidation of genome wide protein–protein interactions is crucial for understanding the regulatory processes of the cell. High-throughput techniques, such as the yeast-2-hybrid (Y2H) assay, co-immunoprecipitation (co-IP), mass spectrometric (MS) protein complex identification, affinity purification (AP) <em>etc.</em>, are generally relied upon to determine protein interactions. Unfortunately, each type of method is inherently subject to different types of noise and results in false positive interactions. On the other hand, precise understanding of proteins, especially knowledge of their functional associations is necessary for understanding how complex molecular machines function. To solve this problem, computational techniques are generally relied upon to precisely predict protein interactions. In this work, we present a novel method that combines structural and non-structural biological data to precisely predict protein interactions. The conceptual novelty of our approach lies in identifying and precisely associating biological information that provides substantial interaction clues. Our model combines structural and non-structural information using Bayesian statistics to calculate the likelihood of each interaction. The proposed model is tested on <em>Saccharomyces cerevisiae</em>'s interactions extracted from the <em>DIP</em> and <em>IntAct</em> databases and provides substantial improvements in terms of accuracy, precision, recall and F1 score, as compared with the most widely used related state-of-the-art techniques.</p>","PeriodicalId":90,"journal":{"name":"Molecular BioSystems","volume":" 12","pages":" 2592-2602"},"PeriodicalIF":3.743,"publicationDate":"2017-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1039/C7MB00484B","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"3771724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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