RESUMO
The Bioinformatics Grand Challenges Consortium (BGCC) is a collaborative effort to address the most pressing challenges in bioinformatics. Initially focusing on education and training, the consortium successfully defined seven key grand challenges and is actively developing actionable solutions for these challenges. Building on this foundation, the BGCC plans to broaden its focus to include additional grand challenges in emerging areas.
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Biologia Computacional , Biologia Computacional/educação , Biologia Computacional/métodos , HumanosRESUMO
Since 2010, the Human Proteome Project (HPP), the flagship initiative of the Human Proteome Organization (HUPO), has pursued two goals: (1) to credibly identify the protein parts list and (2) to make proteomics an integral part of multiomics studies of human health and disease. The HPP relies on international collaboration, data sharing, standardized reanalysis of MS data sets by PeptideAtlas and MassIVE-KB using HPP Guidelines for quality assurance, integration and curation of MS and non-MS protein data by neXtProt, plus extensive use of antibody profiling carried out by the Human Protein Atlas. According to the neXtProt release 2023-04-18, protein expression has now been credibly detected (PE1) for 18,397 of the 19,778 neXtProt predicted proteins coded in the human genome (93%). Of these PE1 proteins, 17,453 were detected with mass spectrometry (MS) in accordance with HPP Guidelines and 944 by a variety of non-MS methods. The number of neXtProt PE2, PE3, and PE4 missing proteins now stands at 1381. Achieving the unambiguous identification of 93% of predicted proteins encoded from across all chromosomes represents remarkable experimental progress on the Human Proteome parts list. Meanwhile, there are several categories of predicted proteins that have proved resistant to detection regardless of protein-based methods used. Additionally there are some PE1-4 proteins that probably should be reclassified to PE5, specifically 21 LINC entries and â¼30 HERV entries; these are being addressed in the present year. Applying proteomics in a wide array of biological and clinical studies ensures integration with other omics platforms as reported by the Biology and Disease-driven HPP teams and the antibody and pathology resource pillars. Current progress has positioned the HPP to transition to its Grand Challenge Project focused on determining the primary function(s) of every protein itself and in networks and pathways within the context of human health and disease.
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Anticorpos , Proteoma , Humanos , Proteoma/genética , Proteoma/análise , Bases de Dados de Proteínas , Espectrometria de Massas/métodos , Proteômica/métodosRESUMO
Introduction: Cardiovascular diseases are a multifaceted and complex problem in the health system that can change the priorities of the economic, social, and even political systems of countries. Therefore, as a grand challenge (GC), its management requires adopting a systematic, interdisciplinary, and innovative approach. In Iran, the most common causes of death, have changed from infectious and diarrheal diseases to cardiovascular diseases since 1960. Methods: In this study, the novel framework of the problem-oriented innovation system (PIS) has been used, and cardiovascular diseases in Iran have been selected as a case study. To this end, first, the main challenges related to cardiovascular diseases in Iran were identified in two layers of "governance-centered" (including legal and policy gaps, insufficient education, financing, lack and unbalanced distribution of medical personnel) and "society driven" (including unhealthy diet and lifestyle, uncontrolled and hard-to-regulate factors, and high costs) through a library research. Then, the functional-structural framework of the problem-oriented innovation system was used to analyze cardiovascular diseases and provide policy recommendations. Results: The findings indicate that based on the eight functions of the problem-oriented innovation system, an important part of cardiovascular diseases can be managed and controlled in three short-term, medium-term, and long-term periods. Conclusion: Increasing public awareness in the form of university courses, participation of the government with the private sector in building and equipping specialized cardiovascular centers, creating an electronic health record from birth, implementing a family health plan focusing on less developed areas, supporting agriculture and guaranteeing the purchase of agricultural products and healthy food, increasing the capacity of accepting students in medical and paramedical fields, and allocating pharmaceutical currency in the form of pharmaceutical subsidies directly to cardiovascular patients, are among the most important policy recommendations for this grand challenge.