{"product_id":"in-silico-strategies-for-prospective-lucreia-udrescu-9783036561349","title":"In Silico Strategies for Prospective Drug Repositionings","description":"\u003cp\u003eThe discovery of new drugs is one of pharmaceutical research's most exciting and challenging tasks. Unfortunately, the conventional drug discovery procedure is chronophagous and seldom successful; furthermore, new drugs are needed to address our clinical challenges (e.g., new antibiotics, new anticancer drugs, new antivirals).\u003c\/p\u003e\u003cp\u003eWithin this framework, drug repositioning-finding new pharmacodynamic properties for already approved drugs-becomes a worthy drug discovery strategy.\u003c\/p\u003e\u003cp\u003eRecent drug discovery techniques combine traditional tools with in silico strategies to identify previously unaccounted properties for drugs already in use. Indeed, big data exploration techniques capitalize on the ever-growing knowledge of drugs' structural and physicochemical properties, drug-target and drug-drug interactions, advances in human biochemistry, and the latest molecular and cellular biology discoveries.\u003c\/p\u003e\u003cp\u003eFollowing this new and exciting trend, this book is a collection of papers introducing innovative computational methods to identify potential candidates for drug repositioning. Thus, the papers in the Special Issue \u003cem\u003eIn Silico Strategies for Prospective Drug Repositionings\u003c\/em\u003e introduce a wide array of in silico strategies such as complex network analysis, big data, machine learning, molecular docking, molecular dynamics simulation, and QSAR; these strategies target diverse diseases and medical conditions: COVID-19 and post-COVID-19 pulmonary fibrosis, non-small lung cancer, multiple sclerosis, toxoplasmosis, psychiatric disorders, or skin conditions.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Lucreția Udrescu\u003cbr\u003e\u003cb\u003eISBN-10:\u003c\/b\u003e 303656134X\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9783036561349\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Mdpi AG\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 01\/04\/2023\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 288\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Hardcover\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.81lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.61h x 6.69w x 0.94d","brand":"Lucre\u0026#539;ia Udrescu","offers":[{"title":"Hardcover","offer_id":46024861417727,"sku":"9783036561349","price":88.92,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_60c1db00-4730-4553-a1eb-d623d8f88fef.jpg?v=1723129392","url":"https:\/\/www.whiterainbookhouse.com\/products\/in-silico-strategies-for-prospective-lucreia-udrescu-9783036561349","provider":"WR Book House","version":"1.0","type":"link"}