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市場調查報告書
商品編碼
1410130
全球化學資訊學市場:預測(2023-2028)Chemoinformatics Market - Forecasts from 2023 to 2028 |
全球化學資訊學市場規模預計在預測期內將以 14.67% 的複合年成長率成長。
慢性病盛行率的上升以及相應的開發新治療方法的需求是一些關鍵促進因素。其他重要因素包括檢驗組合化學方法可能開發的各種藥物的重要性日益增加,以及對分子和原子反應過程中產生的資料進行有效管理的需求日益成長,其中包括日益關注和投資數量的增加支持研發工作。此外,新藥的開拓、檢驗組合化學方法創建的各種候選藥物的重要性日益增加,以及不斷增加的研發力度正在推動化學資訊學市場的發展。
市場推動因素之一是藥物研發過程的進步和創新。化學資訊學在藥物研發過程中有許多應用,包括化合物選擇、虛擬庫開發、虛擬高通量篩檢、HTS資料探勘和電腦 ADMET。例如,根據 2021 年 6 月出版的題為“Cheminformatics Approaches in the Discovery of Drugs for Neglected Tropical Medicines”的學術期刊報道,化學資訊學已成為藥物研發過程中的基本要素,加快了尋找具有所需理化性質的新化學實體的速度。 、藥理學、毒理學和藥物動力學特性。因此,化學資訊學的市場規模預計將因這些因素而擴大。
化學資訊學是一門結合化學和資訊學的學科,旨在解決分子建模、藥物開發、生物資訊學和生物資料庫中的問題。化學資訊學可以幫助克服分子多樣性、高通量篩檢(HTS) 以及小分子和化合物虛擬庫的挑戰。此外,我們還協助創建大型化合物集合的資料庫,這些資料庫使用計算技術來根據各種屬性搜尋正在分析的庫。該領域在創新藥物創造中的受歡迎是因為該領域所使用的技術廣泛適用於藥物開發的所有領域,包括目標識別和3D結構的建構。
虛擬篩檢技術用於利用化學資訊學技術的藥物研發。虛擬篩檢可用於根據溶解度和 ADMET 特性等參數從庫中去除不需要的化合物。大型In Silico文庫也可以透過這種方式進行篩檢,以找到具有合適特性的化合物並在實驗高通量篩檢之前收集資料。使用適合研究化學空間、動態和藥物動力學特徵的創新虛擬篩檢方法對大型化合物庫進行了In Silico評估。因此,發現新化合物過程中的成本、基礎設施和時間都減少了。
由於慢性病的不永續嚴重性,人們對個人化醫療的認知不斷提高,以及對有效藥物的需求正在推動開發新藥,並對化學資訊市場佔有率的擴大產生積極影響。這些技術廣泛應用於藥物設計過程的各個階段。尋找具有預測成功率的有效先導標靶的方法將永遠改變藥物的發現方式,並增加降低高藥物損耗率的努力成功的可能性。此外,由於研發強度的增加,技術創新的貢獻正在加強該領域。
預計北美地區將在預測期內引領化學資訊學市場。加速藥物研發的生物技術融資的成長以及該地區許多重要參與者的存在是推動擴張的因素。其他原因包括疾病傳播。例如,根據美國健康信託組織2020年發布的報告,美國成人肥胖率約為42.4%,首次超過40.0%的基準值。自2008年以來,全國成年人肥胖率增加了26.0%。
NGS 技術的進步增加了對快速、高精度和方便用戶使用的生物資訊學工具的需求。並非所有進行實驗研究的科學家都是化學資訊學家。因此,擁有易於使用的工具來利用生物資訊系統極為重要。許多化學資訊學程式缺乏合適的方便用戶使用介面,並且通常需要大量的電腦知識。基因組分析設備的成本從 1000 萬美元到 2000 萬美元不等,但由於其增強的特性和功能,同樣昂貴。製藥公司和研究機構需要大量此類系統,因此花費大量資金購買多種基因組儀器。
The Chemoinformatics market is estimated to grow at a CAGR of 14.67% during the forecast period.
The rising incidence of chronic diseases and the corresponding need to develop novel treatments are a few major drivers. Other important factors include the growing significance of validating the variety of possible medications developed by combinatorial chemical methods, the rising emphasis on the efficient management of data produced during molecular and atomic reactions, and the rising number of investments sustaining R&D efforts. Moreover, the development of novel medications the growing significance of validating the wide range of potential drug candidates created by combinatorial chemical methods, and the rising number of R&D efforts are fueling the chemoinformatics market.
One of the major market drivers is the advancement and innovation in the drug development process. Cheminformatics has many uses in the drug discovery process, including compound selection, virtual library development, virtual high throughput screening, HTS data mining, and in silico ADMET. For instance, cheminformatics has become an essential component of the drug discovery process and expedites the search for new chemicals with needed physicochemical, pharmacological, toxicological, and pharmacokinetic properties, according to the journal titled "Cheminformatics Approaches in the Discovery of Drugs for Neglected Tropical Diseases" published in June 2021. Therefore, it is expected that these factors will increase the chemoinformatics market size.
Cheminformatics is a discipline that combines chemistry and informatics to address problems in molecular modelling, drug development, bioinformatics, and biological databases. Cheminformatics aids in overcoming issues with molecular diversity, high-throughput screening (HTS), and virtual libraries of small molecules or compounds. Additionally, it aids in the creation of a database of sizable compound collections that uses computational techniques to search the library during analysis based on different properties. The popularity of the field in the creation of innovative medications is a result of the technologies used in it being widely applicable across the spectrum of drug development, including target identification and 3D structure construction.
Virtual screening technique is used in drug discovery using cheminformatics methods. Based on parameters like solubility and ADMET characteristics, virtual screening can be used to remove undesirable compounds from libraries. Large in silico libraries can also be screened using this method to find compounds with the appropriate properties and to gather data before experimental high-throughput screening. Large libraries of compounds were evaluated in silico using innovative virtual screening methodologies, which favoured the examination of their chemical space, pharmacodynamics, and pharmacokinetic features. As a result, less money, infrastructure, and time were expended during the process of discovering new chemical entities.
The desire for effective medication driven by rising awareness of personalized medicine and the unsustainable weight of chronic diseases serves as an impetus for new drug development, which favourably affects the expansion of the chemoinformatics market share. These methods are used in a wide range of stages of the drug-designing process. The approach of finding effective lead targets with predicted success rates has completely changed how drugs are discovered, increasing the likelihood that efforts to reduce the high attrition rates of drugs will be successful. Additionally, the sector is strengthened due to the contributions of technological innovation as a result of the increasing R&D intensity.
During the projected period, the North American region is anticipated to lead the chemoinformatics market. Increased financing for biotechnology sectors to speed up drug discovery and the presence of many important players in the area are some of the factors contributing to the expansion. Other causes include rising disease prevalence. For instance, according to a report released in 2020 by the Trust for America's Health Organisation, the adult obesity rate in the United States is around 42.4%, and for the first time, the national rate has been above the 40.0% threshold. Since 2008, there has been a 26.0% nationwide increase in the adult obesity rate.
NGS technology advancements have increased the demand for rapid, precise, and user-friendly bioinformatics tools. Not all scientists conducting experimental research are chemoinformaticians. Because of this, having accessible tools is crucial for using bioinformatics systems. Because many chemoinformatics programmes lack an appropriate user-friendly interface, they frequently require significant computer knowledge. The cost of genomic instruments, which ranges from $10 million to $20 million, is similarly premium due to their enhanced features and functions. Pharmaceutical businesses and research labs spend a lot of capital money buying several genomic equipment because they need so many of these systems. which impedes the chemoinformatics market.