Identification of Yeast’s Interactome Using Neural Networks

An important aspect for designing precise medical therapies is to have an accurate knowledge of protein protein interactions involved in the process. Next generation sequencing technologies for discovering novel genes are fuelling an information explosion that allows researchers to study these molecules in previously unimagined ways. A profound understanding of these biological components promises great leaps for the field of medical sciences, i.e., by designing personalized/preventive medicines, or by curing the life threatening diseases including many types of cancers etc. However, experimental techniques are slow and noisy; and usually report false interactions. These limitations prompted a surge of interest in computational techniques to infer the true interactions. In this paper, we propose and evaluate a Neural Network based approach for deciphering the interactions of Saccharomyces cerevisiae species proteins. The novelty of this approach lies in integrating the evidences (broadly classified as structural and non-structural) in a hybrid fashion. The structure-based evidences include, geometrical features extracted from individual homolog templates, e.g., interacting residues, interfacing residues, binding sites of proteins etc., while the non-structural evidences include, biological process, molecular function, cellular component and motif based similarities. These features are combined using Neural Network based classifier to predict true interactions. The algorithm showed encouraging results, when benchmarked for Saccharomyces cerevisiae’s interactome, retrieved from the STRING database; with an accuracy of 92% for functional association networks, while on protein interaction networks the accuracy remained 83%

Perspectives of Entrepreneurial Orientation with the Quality of Life

The characteristics of entrepreneurial orientation is played important role in business. How do an entrepreneurial firms and individuals have taken the advantage in industry? This study explores the dynamic capabilities of the organization according to international performance. Our findings indicates the positive impact on dynamic capabilities of the business with perfectly use of this research framework. The main aspect of this paper is to analyse the impact of entrepreneurial orientation with the quality of life. Distinctive features of entrepreneurs and their contribution to the economy can make it possible for third world countries to grow their economies faster and provide financial means to enhance social, health, and environmental well-being (basic dimensions of quality of life), along with products and services that the poor need in these countries. Entrepreneurial orientation combined with organization learning and Quality of life (QOL) are enhanced the dynamic capability of the organization. Present conceptual research will provide the source of competitive advantage and mainstream line for further development of the business .We suggest that existing literature reconfiguring the different approaches for the entrepreneurial to capture the opportunities in world business. First, quality of life cannot possibly improve in inactive or weakening economic conditions; second, economic development in the third world countries cannot advance in a balanced and desirable manner without a major domestic entrepreneurship movement (Samli 2004, 2008a)

Perspectives of Entrepreneurial Orientation with the Quality of Life

The characteristics of entrepreneurial orientation is played important role in business. How do an entrepreneurial firms and individuals have taken the advantage in industry? This study explores the dynamic capabilities of the organization according to international performance. Our findings indicates the positive impact on dynamic capabilities of the business with perfectly use of this research framework. The main aspect of this paper is to analyse the impact of entrepreneurial orientation with the quality of life. Distinctive features of entrepreneurs and their contribution to the economy can make it possible for third world countries to grow their economies faster and provide financial means to enhance social, health, and environmental well-being (basic dimensions of quality of life), along with products and services that the poor need in these countries. Entrepreneurial orientation combined with organization learning and Quality of life (QOL) are enhanced the dynamic capability of the organization. Present conceptual research will provide the source of competitive advantage and mainstream line for further development of the business .We suggest that existing literature reconfiguring the different approaches for the entrepreneurial to capture the opportunities in world business. First, quality of life cannot possibly improve in inactive or weakening economic conditions; second, economic development in the third world countries cannot advance in a balanced and desirable manner without a major domestic entrepreneurship movement (Samli 2004, 2008a)

Perspectives of entrepreneurial orientation with the quality of life

The characteristics of entrepreneurial orientation is played important role in business. How do an entrepreneurial firms and individuals have taken the advantage in industry? This study explores the dynamic capabilities of the organization according to international performance. Our findings indicates the positive impact on dynamic capabilities of the business with perfectly use of this research framework. The main aspect of this paper is to analyse the impact of entrepreneurial orientation with the quality of life. Distinctive features of entrepreneurs and their contribution to the economy can make it possible for third world countries to grow their economies faster and provide financial means to enhance social, health, and environmental well-being (basic dimensions of quality of life), along with products and services that the poor need in these countries. Entrepreneurial orientation combined with organization learning and Quality of life (QOL) are enhanced the dynamic capability of the organization. Present conceptual research will provide the source of competitive advantage and mainstream line for further development of the business .We suggest that existing literature reconfiguring the different approaches for the entrepreneurial to capture the opportunities in world business. First, quality of life cannot possibly improve in inactive or weakening economic conditions; second, economic development in the third world countries cannot advance in a balanced and desirable manner without a major domestic entrepreneurship movement (Samli 2004, 2008a)

Microalgae-based biofuels, resource recovery and wastewater treatment: a pathway towards sustainable biorefinery

Intense utilization of natural fuel resources is threatening the global environment and societal sustainability. It triggers up the need for finding environmental-friendly and sustainable sources of energy. In this perspective, microalgae have emerged as a potential alternative. Microalgae are featured with distinct ability to provide ecological services and respond to the sustainability challenges simultaneously. Microalgae can fix atmospheric CO2, valorize waste resources and can produce a wide variety of bio-products. The promising features of microalgae pitch the idea of establishing a sustainable bio-refinery to draw multifaceted benefits and reinforce the objectives of resource efficient bio-economy. Unfortunately, in the last few years, preferential studies have been carried out to assess the potential of microalgae-based integrated bio-refinery. This review critically discussed the recent developments, opportunities, and barriers in the microalgae bio-industry and wastewater treatment. Particularly, microalgae potentials for biofuels and resources recovery are addressed towards sustainable biorefinery. Moreover, techno-economic and commercial viability of microalgae-led bio-refinery is reviewed to drive this technology towards practicality

Progress report no. 7

Statement of responsibility on title-page reads: editor: M.J. Driscoll; contributors: D.C. Aldrich, M.J. Driscoll, O.K. Kadiroglu, S. Keyvan, H.U.R. Khan, D.D. Lanning, R. Morton, J. Pasztor, T.J. Reckart, A.A. Salehi, J.I. Shin, A.T. Supple, D.J. Wargo, and S.S. WuIncludes bibliographical referencesProgress report; September 30, 1976U.S. Atomic Energy Commission contracts: E(11-1) 225

An Expanded Evaluation of Protein Function Prediction Methods Shows an Improvement In Accuracy

Background: A major bottleneck in our understanding of the molecular underpinnings of life is the assignment of function to proteins. While molecular experiments provide the most reliable annotation of proteins, their relatively low throughput and restricted purview have led to an increasing role for computational function prediction. However, assessing methods for protein function prediction and tracking progress in the field remain challenging. Results: We conducted the second critical assessment of functional annotation (CAFA), a timed challenge to assess computational methods that automatically assign protein function. We evaluated 126 methods from 56 research groups for their ability to predict biological functions using Gene Ontology and gene-disease associations using Human Phenotype Ontology on a set of 3681 proteins from 18 species. CAFA2 featured expanded analysis compared with CAFA1, with regards to data set size, variety, and assessment metrics. To review progress in the field, the analysis compared the best methods from CAFA1 to those of CAFA2. Conclusions: The top-performing methods in CAFA2 outperformed those from CAFA1. This increased accuracy can be attributed to a combination of the growing number of experimental annotations and improved methods for function prediction. The assessment also revealed that the definition of top-performing algorithms is ontology specific, that different performance metrics can be used to probe the nature of accurate predictions, and the relative diversity of predictions in the biological process and human phenotype ontologies. While there was methodological improvement between CAFA1 and CAFA2, the interpretation of results and usefulness of individual methods remain context-dependent

An expanded evaluation of protein function prediction methods shows an improvement in accuracy

Background: A major bottleneck in our understanding of the molecular underpinnings of life is the assignment of function to proteins. While molecular experiments provide the most reliable annotation of proteins, their relatively low throughput and restricted purview have led to an increasing role for computational function prediction. However, assessing methods for protein function prediction and tracking progress in the field remain challenging. Results: We conducted the second critical assessment of functional annotation (CAFA), a timed challenge to assess computational methods that automatically assign protein function. We evaluated 126 methods from 56 research groups for their ability to predict biological functions using Gene Ontology and gene-disease associations using Human Phenotype Ontology on a set of 3681 proteins from 18 species. CAFA2 featured expanded analysis compared with CAFA1, with regards to data set size, variety, and assessment metrics. To review progress in the field, the analysis compared the best methods from CAFA1 to those of CAFA2. Conclusions: The top-performing methods in CAFA2 outperformed those from CAFA1. This increased accuracy can be attributed to a combination of the growing number of experimental annotations and improved methods for function prediction. The assessment also revealed that the definition of top-performing algorithms is ontology specific, that different performance metrics can be used to probe the nature of accurate predictions, and the relative diversity of predictions in the biological process and human phenotype ontologies. While there was methodological improvement between CAFA1 and CAFA2, the interpretation of results and usefulness of individual methods remain context-dependent. Keywords: Protein function prediction, Disease gene prioritizationpublishedVersio

Impact of opioid-free analgesia on pain severity and patient satisfaction after discharge from surgery: multispecialty, prospective cohort study in 25 countries

Background: Balancing opioid stewardship and the need for adequate analgesia following discharge after surgery is challenging. This study aimed to compare the outcomes for patients discharged with opioid versus opioid-free analgesia after common surgical procedures.Methods: This international, multicentre, prospective cohort study collected data from patients undergoing common acute and elective general surgical, urological, gynaecological, and orthopaedic procedures. The primary outcomes were patient-reported time in severe pain measured on a numerical analogue scale from 0 to 100% and patient-reported satisfaction with pain relief during the first week following discharge. Data were collected by in-hospital chart review and patient telephone interview 1 week after discharge.Results: The study recruited 4273 patients from 144 centres in 25 countries; 1311 patients (30.7%) were prescribed opioid analgesia at discharge. Patients reported being in severe pain for 10 (i.q.r. 1-30)% of the first week after discharge and rated satisfaction with analgesia as 90 (i.q.r. 80-100) of 100. After adjustment for confounders, opioid analgesia on discharge was independently associated with increased pain severity (risk ratio 1.52, 95% c.i. 1.31 to 1.76; P < 0.001) and re-presentation to healthcare providers owing to side-effects of medication (OR 2.38, 95% c.i. 1.36 to 4.17; P = 0.004), but not with satisfaction with analgesia (beta coefficient 0.92, 95% c.i. -1.52 to 3.36; P = 0.468) compared with opioid-free analgesia. Although opioid prescribing varied greatly between high-income and low- and middle-income countries, patient-reported outcomes did not.Conclusion: Opioid analgesia prescription on surgical discharge is associated with a higher risk of re-presentation owing to side-effects of medication and increased patient-reported pain, but not with changes in patient-reported satisfaction. Opioid-free discharge analgesia should be adopted routinely