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Last Updated: Apr 25, 2025 | Study Period: 2023-2030
Incorporating metabolic factors into the drug design process has resulted in substantial advancements in the area of chemical drug targeting and the creation of safer medications during the past few years.
This method is now known as retro metabolic drug design (RMDD). This strategy exemplifies systematic techniques that combine links between structure-activity and structure-metabolism in order to create secure, locally active molecules with an enhanced therapeutic index.
It uses both a soft medication strategy and chemical delivery systems, two different approaches.The current evaluation summarizes RMDD's overall impression while offering insights on the chemical delivery method and the soft medication approach.
It also offers a number of instances to illustrate its ideas.Several commercially available medications, such esmolol, have previously seen the successful application of such design concepts; Numerous other options, such as beta blockers, ACE inhibitors, alkylating agents, antimicrobials, etc., are also being researched in addition to loteprednol.
Additionally, the toxic consequences worsen while the therapeutic index stays the same.One must distinguish between a drug compound's activity and toxicity qualities in order to increase the therapeutic index.
Because new structural moieties are added to the drug candidate to increase its activity, the hazardous or undesirable pharmacokinetic features will also be enhanced during the drug design process, resulting in the production of the toxic or undesirable side effects.
A drug candidate's high activity is useless if it also has high toxicity, and the drug design process's poor results can only be attributed to the failure to take toxicity into account.
The Global Chemical Delivery Systems Market accounted for $XX Billion in 2022 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2023 to 2030.
The world's largest materials selection platform, SpecialChem, and Agilis, a provider of digital commerce solutions for the Chemical Delivery Systems chemical industry,
launched their partnership to bring to market a cloud-based Product Information Management (PIM) system specifically created for the chemical industry. A PIM is a digital platform used by businesses to disseminate and organize product information.
A single source for all product data and paperwork is maintained by chemical producers and distributors with the aid of the new product, called ionicPIM. IonicPIM is simple to use and adapt because it is already set up for chemicals. Additionally, it enables producers and distributors to link their PIMs and exchange product data
Sl no | Topic |
1 | Market Segmentation |
2 | Scope of the report |
3 | Abbreviations |
4 | Research Methodology |
5 | Executive Summary |
6 | Introduction |
7 | Insights from Industry stakeholders |
8 | Cost breakdown of Product by sub-components and average profit margin |
9 | Disruptive innovation in the Industry |
10 | Technology trends in the Industry |
11 | Consumer trends in the industry |
12 | Recent Production Milestones |
13 | Component Manufacturing in US, EU and China |
14 | COVID-19 impact on overall market |
15 | COVID-19 impact on Production of components |
16 | COVID-19 impact on Point of sale |
17 | Market Segmentation, Dynamics and Forecast by Geography, 2022-2030 |
18 | Market Segmentation, Dynamics and Forecast by Product Type, 2022-2030 |
19 | Market Segmentation, Dynamics and Forecast by Application, 2022-2030 |
20 | Market Segmentation, Dynamics and Forecast by End use, 2022-2030 |
21 | Product installation rate by OEM, 2022 |
22 | Incline/Decline in Average B-2-B selling price in past 5 years |
23 | Competition from substitute products |
24 | Gross margin and average profitability of suppliers |
25 | New product development in past 12 months |
26 | M&A in past 12 months |
27 | Growth strategy of leading players |
28 | Market share of vendors, 2022 |
29 | Company Profiles |
30 | Unmet needs and opportunity for new suppliers |
31 | Conclusion |
32 | Appendix |