Today we bring to you specific ideas on how you can use moleculesearch.ai if you are researching a specific patent or family of patents

Let's assume you are reading through the patent “Trifluoromethylpropanamide derivatives as HTRA1 inhibitors,” https://patents.google.com/patent/US11014963, and now would like to learn how you can use tools like moleculesearch.ai to plan your next steps in the research process.

Given the introduction of the patent, a researcher interested in HtrA1 inhibition, age-related macular degeneration (AMD), or related fields could use moleculesearch.ai in several ways to enhance their research and development efforts:

1. Identify relevant compounds and patents: By searching for the SMILES strings of known HtrA1 inhibitors or other compounds mentioned in the patent, the researcher could identify other patents and molecules that share structural similarities. This could help them understand the current landscape of HtrA1 inhibitors and related compounds, as well as uncover potential opportunities for new drug development.

2. Explore related disease areas: The patent discusses the involvement of HtrA1 in various diseases, such as rheumatoid arthritis, osteoarthritis, Alzheimer's disease, and some types of cancer. The researcher could use moleculesearch.ai to find patents related to HtrA1 inhibitors in these other disease contexts, which might provide insights into new therapeutic applications or potential combination therapies.

3. Investigate extracellular matrix (ECM) components: The patent highlights the importance of ECM proteins like fibronectin and fibulins in AMD pathology. A researcher could use moleculesearch.ai to search for patents and molecules related to these ECM components, potentially identifying novel targets or mechanisms for treating AMD or other diseases involving ECM dysregulation.

4. Uncover new research directions: By examining the patent's references to genetic risk factors, the researcher could search for SMILES strings of compounds that modulate the expression of HtrA1 or interact with specific risk alleles. This could help them discover new research directions or identify potential therapeutic approaches for AMD and other diseases where HtrA1 plays a role.

5. Find potential collaborators: Using moleculesearch.ai, the researcher can identify companies, academic institutions, or individual inventors who hold patents related to HtrA1 inhibitors, AMD, or other relevant areas. This information could help the researcher establish collaborations, license technologies, or form partnerships to advance their research.

Overall, moleculesearch.ai can be an invaluable resource for researchers studying HtrA1 inhibition, AMD, or related fields.
By leveraging the search engine's ability to identify similar molecular structures and associated patents, researchers can gain valuable insights into the current state of their field and uncover potential opportunities for innovation and collaboration.

Are you curious to see how moleculesearch.ai can empower your research and development efforts? Don't miss out on the opportunity to gain a competitive advantage in your field. Reach out to us for a demo or to inquire about setting up a private installation, ensuring unlimited search requests and maintaining the confidentiality that is crucial to your success.

Feel free to contact us via direct message on LinkedIn or email us at contact@moleculesearch.ai. Let's explore how moleculesearch.ai can revolutionize the way you approach patent analysis and molecular discovery.

We're excited to be your partner in innovation!