scholarly journals 3DBIONOTES v3.0: crossing molecular and structural biology data with genomic variations

2019 ◽  
Vol 35 (18) ◽  
pp. 3512-3513 ◽  
Author(s):  
Joan Segura ◽  
Ruben Sanchez-Garcia ◽  
C O S Sorzano ◽  
J M Carazo

Abstract Motivation Many diseases are associated to single nucleotide polymorphisms that affect critical regions of proteins as binding sites or post translational modifications. Therefore, analysing genomic variants with structural and molecular biology data is a powerful framework in order to elucidate the potential causes of such diseases. Results A new version of our web framework 3DBIONOTES is presented. This version offers new tools to analyse and visualize protein annotations and genomic variants, including a contingency analysis of variants and amino acid features by means of a Fisher exact test, the integration of a gene annotation viewer to highlight protein features on gene sequences and a protein–protein interaction viewer to display protein annotations at network level. Availability and implementation The web server is available at https://3dbionotes.cnb.csic.es Supplementary information Supplementary data are available at Bioinformatics online. Contact Spanish National Institute for Bioinformatics (INB ELIXIR-ES) and Biocomputing Unit, National Centre of Biotechnology (CSIC)/Instruct Image Processing Centre, C/ Darwin nº 3, Campus of Cantoblanco, 28049 Madrid, Spain.

2019 ◽  
Vol 35 (21) ◽  
pp. 4442-4444 ◽  
Author(s):  
Jia-Xing Yue ◽  
Gianni Liti

Abstract Summary Simulated genomes with pre-defined and random genomic variants can be very useful for benchmarking genomic and bioinformatics analyses. Here we introduce simuG, a lightweight tool for simulating the full-spectrum of genomic variants (single nucleotide polymorphisms, Insertions/Deletions, copy number variants, inversions and translocations) for any organisms (including human). The simplicity and versatility of simuG make it a unique general-purpose genome simulator for a wide-range of simulation-based applications. Availability and implementation Code in Perl along with user manual and testing data is available at https://github.com/yjx1217/simuG. This software is free for use under the MIT license. Supplementary information Supplementary data are available at Bioinformatics online.


2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e14082-e14082
Author(s):  
Abdoulaye Karaboue ◽  
Raphael Saffroy ◽  
Christophe Desterke ◽  
Mohamed Bouchahda ◽  
Pasquale Innominato ◽  
...  

e14082 Background: Triplet HAI with IV-Cet achieved 29.7% complete uLM-CRC resections (R0+R1) and an overall median survival (OS) of 25.7 months in previously treated pts. While the high antitumour efficacy of this new regimen involved direct exposure of LM to the HAI drugs and their potentiation by cetuximab, haematological and intestinal toxicities mostly related to systemic exposure (Lévi, Ann Oncol 2016; Clin Pharmacokin 2016). Methods: To identify potential pharmacogenomics (PG) determinants of toxicity-related systemic exposure to the HAI drugs, 207 single nucleotide polymorphisms (SNPs) from 34 pharmacology genes were analysed in blood mononuclear cells (ADME PGx, MassArray platform, Sequenom, USA) from 11 pts undergoing a first course of chronomodulated triplet HAI and iv-CET (Levi et al. Clin Pharmacokinet 2016). Relations between SNPs and main pharmacokinetics parameters and toxicities were determined using ANOVA or Fisher Exact test. Results: Nine toxicity-related polymorphic genes were identified in the 52 pts of the PG study (ASCO, submitted). Here we investigated whether any of these polymorphic genes modified PK in 4F and 7M (33-72 yo) with WHO performance status 0-1. ABCB1 (rs1045642) was the only polymorphic gene that was significantly associated with both pharmacokinetics and toxicity in this study population. Conclusions: ABCB1 polymorphisms might contribute to the systemic hematologic toxicity of the combined IV-HAI regimen through altering cetuximab and oxaliplatin disposition, yet without affecting efficacy. Consideration of ABCB1 polymorphism could help optimize OPTILIV delivery in individual patients. Clinical trial information: NCT00852228. [Table: see text]


1993 ◽  
Vol 70 (03) ◽  
pp. 393-396 ◽  
Author(s):  
Mandeep S Dhami ◽  
Robert D Bona ◽  
John A Calogero ◽  
Richard M Hellman

SummaryA retrospective study was done to determine the incidence of and the risk factors predisposing to clinical venous thromboembolism (VTE) in patients treated for high grade gliomas. Medical records of 68 consecutive patients diagnosed and treated at Saint Francis Hospital and Medical Center from January 1986 to June 1991 were reviewed. The follow up was to time of death or at least 6 months (up to December 1991). All clinically suspected episodes of VTE were confirmed by objective tests. Sixteen episodes of VTE were detected in 13 patients for an overall episode rate of 23.5%. Administration of chemotherapy (p = 0.027, two tailed Fisher exact test) and presence of paresis (p = 0.031, two tailed Fisher exact test) were statistically significant risk factors for the development of VTE. Thrombotic events were more likely to occur in the paretic limb and this difference was statistically significant (p = 0.00049, chi square test, with Yates correction). No major bleeding complications were seen in the nine episodes treated with long term anticoagulation.We conclude that venous thromboembolic complications are frequently encountered in patients being treated for high grade gliomas and the presence of paresis and the administration of chemotherapy increases the risk of such complications.


2020 ◽  
Vol 41 (3) ◽  
pp. 192-197
Author(s):  
Sherry S. Zhou ◽  
Alan P. Baptist

Background: There has been a striking increase in electronic cigarette (EC) use in the United States. The beliefs and practices toward ECs among physicians are unknown. Objective: The purpose of this study was to investigate EC practice patterns among allergists, pulmonologists, and primary care physicians. Methods: An anonymous survey was sent to physicians. The survey contained 32 questions and addressed issues related to demographics, cessation counseling behaviors, personal use, and knowledge and beliefs about ECs. Statistical analysis was performed by using analysis of variance, the Pearson χ2 test, Fisher exact test, and logistic regression. Results: A total of 291 physicians completed the survey (222 primary care physicians, 33 pulmonologists, and 36 allergists) for a response rate of 46%. The allergists asked about tobacco cigarette use as frequently as did the pulmonologists and more than the primary care physicians (p < 0.001), but they rarely asked about EC use. The pulmonologists scored highest on self-reported knowledge on ECs, although all the groups answered <40% of the questions correctly. The allergists did not feel as comfortable about providing EC cessation counseling as did the pulmonologists and primary care physicians (p < 0.001). All three groups were equally unlikely to recommend ECs as a cessation tool for tobacco cigarette users. Conclusion: Allergists lacked knowledge and confidence in providing education and cessation counseling for EC users. As the number of patients who use these products continues to increase, there is an urgent need for all physicians to be comfortable and knowledgeable with counseling about ECs.


2018 ◽  
Vol 1 (2) ◽  
pp. 166
Author(s):  
Sutriswanto Sutriswanto ◽  
Sugito Sugito

Abstract: Staphylococcus is a cause of infection. Infection can be transmitted from a source by an indirect through fomite. Paper money can act as transmission of infectious agents, money acts as a fomite. Smaller denominations of value have higher contamination. This study aims to analyze differences in contamination bacterial Staphylococcus sp on denomination of paper money Rp.2.000, 5.000, Rp.10,000 and Rp.20.000 that currently shop on Adi Sucipto street town Pontianak. The research method used in this research is in the form of difference and the sample in this research is denomination of paper money curently with sampling technique using cluster sampling. Checkup of Staphylococcus spon denomination of paper money using rinse method. On these result of study, denomination of paper money Rp.2.000 that is contaminated staphylococcus sp is 80%, denomination of paper money Rp.5.000 that is contaminated staphylococcus sp is 70%, denomination of paper money Rp.10.000 and Rp.20.000 that is contaminated staphylococcus sp is 80%. The data from result of study has been obtained were analyzed statistically by using fisher exact test, the result of p (0,477) >α (0,05) which mean as H1 is rejected. So it can be concluded there is no difference of contamination bacteria staphylococcus sp on denominations of paper money rupiah.Abstrak: Staphylococcus merupakan penyebab terjadinya infeksi. Infeksi dapat ditularkan dari suatu sumber dengan mekanisme tidak langsung melalui fomite. Uang kertas dapat bertindak sebagai transmisi agens infeksius ,uang berperan sebagai fomite. Pecahan uang yang lebih kecil nilainya memiliki kontaminasi yang lebih tinggi. Penelitian ini bertujuan untuk menganalisis perbedaan cemaran bakteri Staphylococcus sp pada pecahan uang kertas Rp.2.000, 5.000, Rp.10.000 dan Rp.20.000 yang beredar di warung jalan Adi Sucipto kota Pontianak. Metode penelitian yang digunakan dalam penelitian berbentuk komperatif dan sampel pada penelitian ini adalah pecahan uang kertas rupiah dengan.teknik pengambilan sampel menggunakan purposive sampling. Pemeriksaan Staphylococcus sp pada pecahan uang kertas rupiah menggunakan metode rinse. Pada hasil penelitian pecahan uang kertas Rp.2.000 yang tercemar staphylococcus sp adalah 80%, pecahan uang kertas Rp.5.000 yang tercemar staphylococcus spadalah 70%, pecahan uang kertas Rp.10.000 dan Rp.20.000 yang tercemar staphylococcus spadalah 50%. Berdasarkan data dari hasil penelitian yang telah didapat dianalisis menggunakan uji statistik fisher exact, didapatkan hasil p (0,477) >α (0,05) yang diartikan sebagai H1 ditolak. Sehingga dapat disimpulkan tidak ada perbedaan cemaran bakteri staphylococcus sp pada pecahan uang kertas rupiah.


2009 ◽  
Vol 95 (1) ◽  
pp. 6-12
Author(s):  
Kusuma Madamala ◽  
Claudia R. Campbell ◽  
Edbert B. Hsu ◽  
Yu-Hsiang Hsieh ◽  
James James

ABSTRACT Introduction: On Aug. 29, 2005, Hurricane Katrina made landfall along the Gulf Coast of the United States, resulting in the evacuation of more than 1.5 million people, including nearly 6000 physicians. This article examines the relocation patterns of physicians following the storm, determines the impact that the disaster had on their lives and practices, and identifies lessons learned. Methods: An Internet-based survey was conducted among licensed physicians reporting addresses within Federal Emergency Management Agency-designated disaster zones in Louisiana and Mississippi. Descriptive data analysis was used to describe respondent characteristics. Multivariate logistic regression was performed to identify the factors associated with physician nonreturn to original practice. For those remaining relocated out of state, bivariate analysis with x2 or Fisher exact test was used to determine factors associated with plans to return to original practice. Results: A total of 312 eligible responses were collected. Among disaster zone respondents, 85.6 percent lived in Louisiana and 14.4 percent resided in Mississippi before the hurricane struck. By spring 2006, 75.6 percent (n = 236) of the respondents had returned to their original homes, whereas 24.4 percent (n = 76) remained displaced. Factors associated with nonreturn to original employment included family or general medicine practice (OR 0.42, 95 percent CI 0.17–1.04; P = .059) and severe or complete damage to the workplace (OR 0.24, 95 percent CI 0.13–0.42; P &lt; .001). Conclusions: A sizeable proportion of physicians remain displaced after Hurricane Katrina, along with a lasting decrease in the number of physicians serving in the areas affected by the disaster. Programs designed to address identified physician needs in the aftermath of the storm may give confidence to displaced physicians to return.


2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
Y Krasko ◽  
J Marianowska ◽  
M Duplaga

Abstract Background According to recent projections, even 10% of Polish gross domestic product is contributed by Ukrainian immigrants. There is also a considerable number of Ukrainians continuing university education in Poland. The level of health literacy in Ukrainian society has not been studied so far. The aim of the study was the comparison of health literacy (HL) and e-health literacy (eHL) of young adult Ukrainian (UA) women with their Polish (PL) counterparts Methods A snowball technique was used to recruit a sample of UA women working or studying in Poland to the Internet-based survey. The questionnaire used in the study consisted of the 16-item European HL Survey questionnaire (HLS-EU-16), eHealth Literacy Scale (eHEALS), the set of the questions asking about health behaviours (HB), self-assessment of health status (HS) and items exploring sociodemographic variables. For comparison, the data of an age-matched sample of 100 respondents was extracted from the online survey performed in a representative sample of PL women. Results The mean age (standard deviation, SD) of 57 UA respondents was 20.23 (1.78) years and in Polish sample 20.25 (1.79). HL did not differ between both groups (11.06 (4.22) vs 11.44 (4.34), respectively, p = 0.53), but eHL was significantly lower in UA group (25.91 (5.36) vs 28.17 (5.37), U Mann-Whitney test, p = 0.01). Only 58.5% of UA respondents vs 80.5% of PL ones assessed their HS as at least good (Fisher exact test, p &lt; 0.001). The rates of active smoking (34.6% vs. 35.0%, p = 0.55), using e-cigarettes (35.3% vs 34.0%, p = 0.99), frequent alcohol consumption (26.9% vs. 20%, p = 0.41), and intensive physical activity (49.0% vs. 38.0%, p = 0.22) did not differ between study groups. Conclusions Young UA women show lower eHL than PL counterparts. Although HL and HB in both groups did not differ significantly, UA respondents have assessed their HS much lower than PL participants. Key messages E-health literacy and self-assessed health status were significantly lower among young Ukrainian than among Polish women. Both groups did not differ for health literacy and health behaviours.


Author(s):  
Sayoni Das ◽  
Harry M Scholes ◽  
Neeladri Sen ◽  
Christine Orengo

Abstract Motivation Identification of functional sites in proteins is essential for functional characterization, variant interpretation and drug design. Several methods are available for predicting either a generic functional site, or specific types of functional site. Here, we present FunSite, a machine learning predictor that identifies catalytic, ligand-binding and protein–protein interaction functional sites using features derived from protein sequence and structure, and evolutionary data from CATH functional families (FunFams). Results FunSite’s prediction performance was rigorously benchmarked using cross-validation and a holdout dataset. FunSite outperformed other publicly available functional site prediction methods. We show that conserved residues in FunFams are enriched in functional sites. We found FunSite’s performance depends greatly on the quality of functional site annotations and the information content of FunFams in the training data. Finally, we analyze which structural and evolutionary features are most predictive for functional sites. Availabilityand implementation https://github.com/UCL/cath-funsite-predictor. Contact [email protected] or [email protected] Supplementary information Supplementary data are available at Bioinformatics online.


2020 ◽  
Vol 36 (Supplement_2) ◽  
pp. i831-i839
Author(s):  
Dong-gi Lee ◽  
Myungjun Kim ◽  
Sang Joon Son ◽  
Chang Hyung Hong ◽  
Hyunjung Shin

Abstract Motivation Recently, various approaches for diagnosing and treating dementia have received significant attention, especially in identifying key genes that are crucial for dementia. If the mutations of such key genes could be tracked, it would be possible to predict the time of onset of dementia and significantly aid in developing drugs to treat dementia. However, gene finding involves tremendous cost, time and effort. To alleviate these problems, research on utilizing computational biology to decrease the search space of candidate genes is actively conducted. In this study, we propose a framework in which diseases, genes and single-nucleotide polymorphisms are represented by a layered network, and key genes are predicted by a machine learning algorithm. The algorithm utilizes a network-based semi-supervised learning model that can be applied to layered data structures. Results The proposed method was applied to a dataset extracted from public databases related to diseases and genes with data collected from 186 patients. A portion of key genes obtained using the proposed method was verified in silico through PubMed literature, and the remaining genes were left as possible candidate genes. Availability and implementation The code for the framework will be available at http://www.alphaminers.net/. Supplementary information Supplementary data are available at Bioinformatics online.


Author(s):  
Matteo Chiara ◽  
Federico Zambelli ◽  
Marco Antonio Tangaro ◽  
Pietro Mandreoli ◽  
David S Horner ◽  
...  

Abstract Summary While over 200 000 genomic sequences are currently available through dedicated repositories, ad hoc methods for the functional annotation of SARS-CoV-2 genomes do not harness all currently available resources for the annotation of functionally relevant genomic sites. Here, we present CorGAT, a novel tool for the functional annotation of SARS-CoV-2 genomic variants. By comparisons with other state of the art methods we demonstrate that, by providing a more comprehensive and rich annotation, our method can facilitate the identification of evolutionary patterns in the genome of SARS-CoV-2. Availabilityand implementation Galaxy   http://corgat.cloud.ba.infn.it/galaxy; software: https://github.com/matteo14c/CorGAT/tree/Revision_V1; docker: https://hub.docker.com/r/laniakeacloud/galaxy_corgat. Supplementary information Supplementary data are available at Bioinformatics online.


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