{"title":"关于在印度为药物发现开发预测性和系统医学的建议","authors":"Surat Parvatam, Sham Bharadwaj","doi":"10.18520/cs/v123/i11/1317-1326","DOIUrl":null,"url":null,"abstract":"Biological phenomena often emerge based on the interaction between pathways, cells and tissues, rather than a single set of genes or proteins. This has led to the emer-gence of systems medicine. Predictive medicine is another emerging field that aims to predict the disease onset, progression, deterioration, risk and treatment strategies. In this article, we review how systems and computational tools are being used globally in the drug discovery pipeline. With increase in the amount of biological data being generated, data integration is also a critical aspect in systems biology. Towards this, we describe the use of various data integration frameworks. We also analyse the global and local funding patterns, regulations and challenges and propose recommendations to enable India as a key player in this area","PeriodicalId":11194,"journal":{"name":"Current Science","volume":"09 1","pages":""},"PeriodicalIF":1.1000,"publicationDate":"2022-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Recommendations for developing predictive and systems medicine for drug discovery in India\",\"authors\":\"Surat Parvatam, Sham Bharadwaj\",\"doi\":\"10.18520/cs/v123/i11/1317-1326\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Biological phenomena often emerge based on the interaction between pathways, cells and tissues, rather than a single set of genes or proteins. This has led to the emer-gence of systems medicine. Predictive medicine is another emerging field that aims to predict the disease onset, progression, deterioration, risk and treatment strategies. In this article, we review how systems and computational tools are being used globally in the drug discovery pipeline. With increase in the amount of biological data being generated, data integration is also a critical aspect in systems biology. Towards this, we describe the use of various data integration frameworks. We also analyse the global and local funding patterns, regulations and challenges and propose recommendations to enable India as a key player in this area\",\"PeriodicalId\":11194,\"journal\":{\"name\":\"Current Science\",\"volume\":\"09 1\",\"pages\":\"\"},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2022-12-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Current Science\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://doi.org/10.18520/cs/v123/i11/1317-1326\",\"RegionNum\":4,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Science","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.18520/cs/v123/i11/1317-1326","RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
Recommendations for developing predictive and systems medicine for drug discovery in India
Biological phenomena often emerge based on the interaction between pathways, cells and tissues, rather than a single set of genes or proteins. This has led to the emer-gence of systems medicine. Predictive medicine is another emerging field that aims to predict the disease onset, progression, deterioration, risk and treatment strategies. In this article, we review how systems and computational tools are being used globally in the drug discovery pipeline. With increase in the amount of biological data being generated, data integration is also a critical aspect in systems biology. Towards this, we describe the use of various data integration frameworks. We also analyse the global and local funding patterns, regulations and challenges and propose recommendations to enable India as a key player in this area
期刊介绍:
Current Science, published every fortnight by the Association, in collaboration with the Indian Academy of Sciences, is the leading interdisciplinary science journal from India. It was started in 1932 by the then stalwarts of Indian science such as CV Raman, Birbal Sahni, Meghnad Saha, Martin Foster and S.S. Bhatnagar. In 2011, the journal completed one hundred volumes. The journal is intended as a medium for communication and discussion of important issues that concern science and scientific activities. Besides full length research articles and shorter research communications, the journal publishes review articles, scientific correspondence and commentaries, news and views, comments on recently published research papers, opinions on scientific activity, articles on universities, Indian laboratories and institutions, interviews with scientists, personal information, book reviews, etc. It is also a forum to discuss issues and problems faced by science and scientists and an effective medium of interaction among scientists in the country and abroad. Current Science is read by a large community of scientists and the circulation has been continuously going up.
Current Science publishes special sections on diverse and topical themes of interest and this has served as a platform for the scientific fraternity to get their work acknowledged and highlighted. Some of the special sections that have been well received in the recent past include remote sensing, waves and symmetry, seismology in India, nanomaterials, AIDS, Alzheimer''s disease, molecular biology of ageing, cancer, cardiovascular diseases, Indian monsoon, water, transport, and mountain weather forecasting in India, to name a few. Contributions to these special issues ‘which receive widespread attention’ are from leading scientists in India and abroad.