The 15 International NETTAB workshop and the 11 Integrative Bioinformatics Symposium were held together in Bari, on October 14-16, 2016, as Joint NETTAB/IB 2015 Meeting. A special topic for the meeting was "Bioinformatics for ncRNA", but the traditional topics of both meetings series were also included in the event.About 60 scientific contributions were presented, including six keynote lectures, one special guest lecture, and many oral communications and posters. A "Two-Day Hands-on Tutorial" event was organised before the workshop.Selected full papers from some of the best works presented in Bari were submitted either to the Journal of Integrative Bioinformatics or to a purpose Call for a Supplement of BMC Bioinformatics.Here, we provide an overview of meeting aims and scope. We also shortly introduce selected papers that have been either accepted for publication in this Supplement or published in the Journal of Integrative Bioinformatics, for a more complete presentation of the outcomes of the meeting.
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http://dx.doi.org/10.1186/s12859-017-1532-0 | DOI Listing |
Appl Biochem Biotechnol
January 2025
Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore, 575018, Karnataka, India.
Gymnostachyum febrifugum, a less-known ethnomedicinal plant from the Western Ghats of India, is used to treat various diseases and serves as an antioxidant and antibacterial herb. The present study aims to profile the cytotoxic phytochemicals in G. febrifugum roots using GC-MS/MS, in vitro confirmation of cytotoxic potential against breast cancer and an in silico study to understand the mechanism of action.
View Article and Find Full Text PDFBiomed Chromatogr
February 2025
School of Pharmaceutical Sciences, Jilin University, Changchun, People's Republic of China.
Previous studies have suggested that ginsenoside Rg glycine ester derivative (RG) exhibits therapeutic potential in mitigating hypoxia. This study aimed to elucidate the potential mechanism of RG in hypoxia injury through a combined approach of metabolomics and network pharmacology. Initially, a CoCl-induced cell hypoxia model was established, and the therapeutic impact of RG on biochemical indices was evaluated.
View Article and Find Full Text PDFPest Manag Sci
January 2025
Laboratorio de Bioproducción, Bioinsumos, INIA Las Brujas, Canelones, Uruguay.
Background: Biological control methods involving entomopathogenic fungi like Beauveria bassiana have been shown to be a valuable approach in integrated pest management as an environmentally friendly alternative to control pests and pathogens. Identifying genetic determinants of pathogenicity in B. bassiana is instrumental for enhancing its virulence against insects like the resistant soybean pest Piezodorus guildinii.
View Article and Find Full Text PDFPest Manag Sci
January 2025
College of Plant Protection, Hunan Agricultural University, Changsha, China.
Background: The whitefly Bemisia tabaci is a notorious agricultural pest known for its ability to cause significant crop damage through direct feeding and virus transmission. Its remarkable adaptability and reproductive capacity are linked to its ability to acquire and integrate horizontally transferred genes (HTGs) into its genome. These HTGs increase the physiological and metabolic capacities of this pest, including cholesterol synthesis, which is critical for its survival and reproductive success.
View Article and Find Full Text PDFClin Transl Sci
January 2025
Global Biometrics and Data Management, Pfizer Research and Development, New York, New York, USA.
The pharmaceutical industry constantly strives to improve drug development processes to reduce costs, increase efficiencies, and enhance therapeutic outcomes for patients. Model-Informed Drug Development (MIDD) uses mathematical models to simulate intricate processes involved in drug absorption, distribution, metabolism, and excretion, as well as pharmacokinetics and pharmacodynamics. Artificial intelligence (AI), encompassing techniques such as machine learning, deep learning, and Generative AI, offers powerful tools and algorithms to efficiently identify meaningful patterns, correlations, and drug-target interactions from big data, enabling more accurate predictions and novel hypothesis generation.
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