Learning on knowledge graph dynamics provides an early warning of impactful research.

The scientific ecosystem relies on citation-based metrics that provide only imperfect, inconsistent and easily manipulated measures of research quality. Here we describe DELPHI (Dynamic Early-warning by Learning to Predict High Impact), a framework that provides an early-warning signal for 'impactful' research by autonomously learning high-dimensional relationships among features calculated across time from the scientific literature. We prototype this framework and deduce its performance and scaling properties on time-structured publication graphs from 1980 to 2019 drawn from 42 biotechnology-related journals, including over 7.8 million individual nodes, 201 million relationships and 3.8 billion calculated metrics. We demonstrate the framework's performance by correctly identifying 19/20 seminal biotechnologies from 1980 to 2014 via a blinded retrospective study and provide 50 research papers from 2018 that DELPHI predicts will be in the top 5% of time-rescaled node centrality in the future. We propose DELPHI as a tool to aid in the construction of diversified, impact-optimized funding portfolios.

Ubiquitination, Biotech Startups, and the Future of TRIM Family Proteins: A TRIM-Endous Opportunity.

Ubiquitination is a post-translational modification that has pivotal roles in protein degradation and diversified cellular processes, and for more than two decades it has been a subject of interest in the biotech or biopharmaceutical industry. Tripartite motif (TRIM) family proteins are known to have proven E3 ubiquitin ligase activities and are involved in a multitude of cellular and physiological events and pathophysiological conditions ranging from cancers to rare genetic disorders. Although in recent years many kinds of E3 ubiquitin ligases have emerged as the preferred choices of big pharma and biotech startups in the context of protein degradation and disease biology, from a surface overview it appears that TRIM E3 ubiquitin ligases are not very well recognized yet in the realm of drug discovery. This article will review some of the blockbuster scientific discoveries and technological innovations from the world of ubiquitination and E3 ubiquitin ligases that have impacted the biopharma community, from biotech colossuses to startups, and will attempt to evaluate the future of TRIM family proteins in the province of E3 ubiquitin ligase-based drug discovery.

A Shift Towards Biotechnology: Social Opinion in the EU.

Consumers' attitude to genetic engineering provides information to stakeholders who are interested in its adoption, which is essential considering the emerging growth of new breeding techniques. This short article analyses, compares, and describes the knowledge, doubts, and concerns of Europeans about biotechnology and genetic engineering over the past 20 years.

[Assessment and empirical analysis of the competitiveness of bioindustry in various regions of China].

The era of bioeconomy has ushered in a new wave of technological and industrial revolution for mankind. The strategic deployment for the bioindustry in China has achieved remarkable results. However, there are still problems such as unbalanced regional development in the process of bioindustry development. In order to comprehensively assess the current situation of the competitiveness of the bioindustry in various regions of China, the assessment indicator system of the overall competitiveness of the bioindustry is constructed from the perspective of the four sub-industries of biomedicine, bioenergy, bioagriculture and bio-based industry. The weight of each assessment indicator is determined by the analytic hierarchy process. According to geographical administrative division and regional economic relations, an empirical analysis of the comprehensive competitiveness score of the bioindustry in seven regions of China is carried out. The assessment results show that the competition of bioindustry in various regions of China presents a gradient distribution in space. In view of this, relevant policy recommendations are put forward from four aspects: (1) implementing the strategy of rural revitalization, (2) implementing the strategy of regional coordinated development, (3) deepening the supply-side structural reform for the bioindustry, and (4) establishing regional unified information collaboration network system.

[Status quo of global bioindustry and its policy implications].

The advent of the bioeconomy era is triggers a new wave of technology and industrial revolution. Bioeconomy has become the commanding heights that major developed countries and emerging economies try to seize. This paper analyzes the spatiotemporal characteristics of global bioindustry development from four perspectives: biomedical industry, genetically modified crop planting industry, bioenergy industry, and bio-based chemical industry. Then it summarizes the main characteristics of the development of the global bioindustry, and further put forward policy recommendations for the bottleneck problems in the development of China's bioindustry, which can guide the future development of China's bioeconomy.

Complex economic activities concentrate in large cities.

Human activities, such as research, innovation and industry, concentrate disproportionately in large cities. The ten most innovative cities in the United States account for 23% of the national population, but for 48% of its patents and 33% of its gross domestic product. But why has human activity become increasingly concentrated? Here we use data on scientific papers, patents, employment and gross domestic product, for 353 metropolitan areas in the United States, to show that the spatial concentration of productive activities increases with their complexity. Complex economic activities, such as biotechnology, neurobiology and semiconductors, concentrate disproportionately in a few large cities compared to less--complex activities, such as apparel or paper manufacturing. We use multiple proxies to measure the complexity of activities, finding that complexity explains from 40% to 80% of the variance in urban concentration of occupations, industries, scientific fields and technologies. Using historical patent data, we show that the spatial concentration of cutting-edge technologies has increased since 1850, suggesting a reinforcing cycle between the increase in the complexity of activities and urbanization. These findings suggest that the growth of spatial inequality may be connected to the increasing complexity of the economy.

Assessment and empirical analysis of the competitiveness of bioindustry in various regions of China / 生物工程学报

The era of bioeconomy has ushered in a new wave of technological and industrial revolution for mankind. The strategic deployment for the bioindustry in China has achieved remarkable results. However, there are still problems such as unbalanced regional development in the process of bioindustry development. In order to comprehensively assess the current situation of the competitiveness of the bioindustry in various regions of China, the assessment indicator system of the overall competitiveness of the bioindustry is constructed from the perspective of the four sub-industries of biomedicine, bioenergy, bioagriculture and bio-based industry. The weight of each assessment indicator is determined by the analytic hierarchy process. According to geographical administrative division and regional economic relations, an empirical analysis of the comprehensive competitiveness score of the bioindustry in seven regions of China is carried out. The assessment results show that the competition of bioindustry in various regions of China presents a gradient distribution in space. In view of this, relevant policy recommendations are put forward from four aspects: (1) implementing the strategy of rural revitalization, (2) implementing the strategy of regional coordinated development, (3) deepening the supply-side structural reform for the bioindustry, and (4) establishing regional unified information collaboration network system.

Promotion of technological development and determination of biotechnology trends in five selected Latin American countries: an analysis based on PCT patent applications

Background: Science and technology are two desirable elements for the economic and social development of a country. Biotechnology has a particularly important potential for economic development. Nevertheless, patent production in Latin America remains underdeveloped, which creates the need to analyze its trend and the efforts made to promote patent production. Therefore, the purpose of this study was, on the one hand, to determine trends in biotechnology-related PCT (Patent Cooperation Treaty) applications in Chile, Mexico, Argentina, Brazil, and Cuba from 1999 to 2015, and, on the other hand, to determine whether there is a relationship between the gross domestic expenditure on research and experimental development as a percentage of gross domestic product (GERD/GDP) and PCT applications for biotechnological inventions from 2007 to 2015 (in this case, the period under study was limited from 2007 to 2015, due to data availability for GERD/GDP in the five selected countries). Results: The first part of this study shows that the growth in biotechnology PCT applications has been moderate and gradual and the trend was fitted to a linear model. The second set of results shows that GERD/GDP is associated with biotechnology-related PCT applications issued during the study period with a significance level of α = 0.01. Conclusions: Even though results indicate a gradual and modest progress, it is necessary that these five representative Latin American nations continue acting toward the protection of intellectual property in the area of biotechnology, especially by configuring strategies for further progress based on investments on research and development.

Entrepreneurship, intrapreneurship and scientific mobility: The Spanish case.

Scientific mobility can stimulate entrepreneurship and intrapreneurship, acting as a catalyst for reducing imbalances between local and global science and the resulting socio-economic damage. This study evaluates both whether scientific mobility effectively promotes these concepts and the fundamental reasons to articulate effective policies for scientific mobility. Toward this end, a survey has been prepared following the methodology of Global Entrepreneurship Monitor (GEM) and current scientific literature. A total of 364 researchers involved in Spanish scientific mobility took part in the study: Spanish scientists abroad (135) and scientists returned to Spain (52), as mobile groups, and young researchers in Spain (177), as a group of scientists who could go abroad, but that have not yet begun to leave. The results demonstrate that scientific mobility does promote entrepreneurship and, especially intrapreneurship. Moreover, since permanent positions are scarce for these groups and their mobility decisions largely depend on job opportunities, the involved Spanish authorities and agents can improve scientific mobility by means suitable policies that make the most of this potential to the benefit of economic growth and job creation.

Statistical Optimization of 1,3-Propanediol (1,3-PD) Production from Crude Glycerol by Considering Four Objectives: 1,3-PD Concentration, Yield, Selectivity, and Productivity.

This study investigated the biological conversion of crude glycerol generated from a commercial biodiesel production plant as a by-product to 1,3-propanediol (1,3-PD). Statistical analysis was employed to derive a statistical model for the individual and interactive effects of glycerol, (NH4)2SO4, trace elements, pH, and cultivation time on the four objectives: 1,3-PD concentration, yield, selectivity, and productivity. Optimum conditions for each objective with its maximum value were predicted by statistical optimization, and experiments under the optimum conditions verified the predictions. In addition, by systematic analysis of the values of four objectives, optimum conditions for 1,3-PD concentration (49.8 g/L initial glycerol, 4.0 g/L of (NH4)2SO4, 2.0 mL/L of trace element, pH 7.5, and 11.2 h of cultivation time) were determined to be the global optimum culture conditions for 1,3-PD production. Under these conditions, we could achieve high 1,3-PD yield (47.4%), 1,3-PD selectivity (88.8%), and 1,3-PD productivity (2.1/g/L/h) as well as high 1,3-PD concentration (23.6 g/L).

Lateral Flow Assay for Interleukin 6: A Technological and Scientific Prospection of a 10-Year Survey.

BACKGROUND: Interleukin-6 (IL-6) is a multifunctional cytokine that plays a crucial role not only in the immune system but also in numerous biological processes. Elevated IL-6 levels have been observed in many types of cancer and inflammatory diseases. Among the techniques that have been used to quantify IL-6, a Lateral Flow Assay (LFA) is one of the most promising. OBJECTIVE: The objective of this study was to perform a technological and scientific exploration of the development of an LFA for IL-6. METHOD: The Instituto Nacional de Propriedade Industrial-INPI (Brazil), European Patent Office - Espacenet, and United States Patent and Trademark Office-USPTO were used for the technological prospection to consider all the patents regarding an LFA for IL-6 detection. For the scientific investigation, the following periodic databases were used: Web of Science, Science Direct, PubMed, and Scielo, and were monitored from 2007 to May 2017. RESULTS: We found no patents based on the searched keywords, and a limited number of scientific articles were found. Therefore, the development of an LFA sensor for the detection of IL-6 appears to be innovative with significant biotechnological importance, creating a technology transfer to promote economic and industrial growth. CONCLUSION: The development of lateral flow immunosensors for IL-6 is innovative, as we could not find patents describing such a biosensor. Scientific prospection reported two lateral flow immunosensors. However, the test for IL-6 cannot be completed without using some kind of equipment for detection, such as the one we propose in future developments.

Biotechnology Patenting in the BRICS Countries: Strategies and Dynamics.

The BRICS countries (Brazil, Russia, India, China, South Africa) account for 25% of global biotechnology patents. To understand the current and future landscape of the domain, it is important to better understand the capacity of these contributors. Here, we consider the thematic priorities, strategies, and key players of the BRICS countries in biotechnology patenting.

Just how good an investment is the biopharmaceutical sector?

Uncertainty surrounding the risk and reward of investments in biopharmaceutical companies poses a challenge to those interested in funding such enterprises. Using data on publicly traded stocks, we track the performance of 1,066 biopharmaceutical companies from 1930 to 2015-the most comprehensive financial analysis of this sector to date. Our systematic exploration of methods for distinguishing biotech and pharmaceutical companies yields a dynamic, more accurate classification method. We find that the performance of the biotech sector is highly sensitive to the presence of a few outlier companies, and confirm that nearly all biotech companies are loss-making enterprises, exhibiting high stock volatility. In contrast, since 2000, pharmaceutical companies have become increasingly profitable, with risk-adjusted returns consistently outperforming the market. The performance of all biopharmaceutical companies is subject not only to factors arising from their drug pipelines (idiosyncratic risk), but also from general economic conditions (systematic risk). The risk associated with returns has profound implications both for patterns of investment and for funding innovation in biomedical R&D.

The Population Ecology of Technology: An Empirical Study of US Biotechnology Patents from 1976 to 2003.

A detailed understanding of technological change as an evolutionary process is currently not well understood. To increase our understanding, we build upon theory from organizational ecology to develop a model of endogenous technological growth and determine to what extent the pattern of technological growth can be attributed to the structural or systemic characteristics of the technology itself. Through an empirical investigation of patent data in the biotechnology industry from 1976 to 2003, we find that a technology's internal (i.e., density and diversity) ecological characteristics have a positive effect on its growth rate. The niche's external characteristics of crowding and status have a negative effect on its growth rate. Hence, applying theory from organizational ecology increases our understanding of technological change as an evolutionary process. We discuss the implications of our findings for the study of technological growth and evolution, and suggest avenues for further research.