Privacy Statement (CA)

This privacy statement was last changed on February 8, 2023, last checked on February 8, 2023, and applies to citizens and legal permanent residents of Canada.

In this privacy statement, we explain what we do with the data we obtain about you via https://deepcure.ai. We recommend you carefully read this statement. In our processing we comply with the requirements of privacy legislation. That means, among other things, that:

  • we clearly state the purposes for which we process personal data. We do this by means of this privacy statement;
  • we aim to limit our collection of personal data to only the personal data required for legitimate purposes;
  • we first request your explicit consent to process your personal data in cases requiring your consent;
  • we take appropriate security measures to protect your personal data and also require this from parties that process personal data on our behalf;
  • we respect your right to access your personal data or have it corrected or deleted, at your request.

If you have any questions, or want to know exactly what data we keep of you, please contact us.

1. Purpose and categories of data

We may collect or receive personal information for a number of purposes connected with our business operations which may include the following: (click to expand)

2. Disclosure practices

We disclose personal information if we are required by law or by a court order, in response to a law enforcement agency, to the extent permitted under other provisions of law, to provide information, or for an investigation on a matter related to public safety.

3. How we respond to Do Not Track signals & Global Privacy Control

Our website responds to and supports the Do Not Track (DNT) header request field. If you turn DNT on in your browser, those preferences are communicated to us in the HTTP request header, and we will not track your browsing behavior.

4. Cookies

Our website uses cookies. For more information about cookies, please refer to our Cookie Policy on our Cookie Policy (CA) webpage. We have concluded a data Processing Agreement with Google.Google may not use the data for any other Google services.

5. Security

We are committed to the security of personal data. We take appropriate security measures to limit abuse of and unauthorized access to personal data. This ensures that only the necessary persons have access to your data, that access to the data is protected, and that our security measures are regularly reviewed.

6. Third party websites

This privacy statement does not apply to third party websites connected by links on our website. We cannot guarantee that these third parties handle your personal data in a reliable or secure manner. We recommend you read the privacy statements of these websites prior to making use of these websites.

7. Amendments to this privacy statement

We reserve the right to make amendments to this privacy statement. It is recommended that you consult this privacy statement regularly in order to be aware of any changes. In addition, we will actively inform you wherever possible.

8. Accessing and modifying your data

If you have any questions or want to know which personal data we have about you, please contact us. Please make sure to always clearly state who you are, so that we can be certain that we do not modify or delete any data of the wrong person. We shall provide the requested information only upon receipt of a verifiable consumer request. You can contact us by using the information below.

8.1 You have the following rights with respect to your personal data

  1. You may submit a request for access to the data we process about you.
  2. You may request an overview, in a commonly used format, of the data we process about you.
  3. You may request correction or deletion of the data if it is incorrect or not or no longer relevant. Where appropriate, the amended information shall be transmitted to third parties having access to the information in question.
  4. You have the right to withdraw consent at any time, subject to legal or contractual restrictions and reasonable notice. You will be informed of the implications of such withdrawal.
  5. You have the right to address a challenge concerning non-compliance with PIPEDA to our organization and, if the issue is not resolved, to the Office of the Privacy Commissioner of Canada.
  6. We shall give access to personal information in an alternative format to an individual with a sensory disability who has a right of access to personal information under PIPEDA and who requests that it be transmitted in the alternative format if (a) a version of the information already exists in that format; or (b) its conversion into that format is reasonable and necessary in order for the individual to be able to exercise rights.

9. Children

Our website is not designed to attract children and it is not our intent to collect personal data from children under the age of consent in their country of residence. We therefore request that children under the age of consent do not submit any personal data to us.

10. Contact details

DeepCure
100 City Hall Plaza, Boston, MA 02108
United States
Website: https://deepcure.ai
Email: info@deepcure.ai

Phone number: 8572091916

We have appointed a contact person for the organization’s policies and practices and to whom complaints or inquiries can be forwarded:
Thras Karydis, CTO
100 City Hall Plz,
Boston MA, 02108

Molecular Foundry

Manual synthesis dramatically stifles innovation in drug discovery for many reasons, including (i) substantial time costs, (ii) high FTE costs, (iii) low synthesis success rates (20-34%), and (iv) a bias towards known reactions.

At DeepCure, we are fixing these problems to unlock the vast chemical space that AI drug design tools want to explore, but don’t, because manually synthesizing such compounds would not be practicable.

Automated Robotic Custom Synthesis

Manual synthesis dramatically stifles innovation in drug discovery for many reasons, including (i) substantial time costs, (ii) high FTE costs, (iii) low synthesis success rates (20-34%), and (iv) a bias towards known reactions. 

 

At DeepCure, we are fixing these problems to unlock the chemical space that AI drug design tools want to explore but can’t because it is not practicably available to most chemists.

Synthetic

Steps

Reaction

Types

Reaction

Development

Industry
Standard

1

4-10

manual

91
100+2

fully 

automated

made possible with automated analytical evaluation, purification, evaporation, etc.

made practicable with automated reaction development

made feasible with miniaturization & quick turnaround (2-10 days)

Notes: 1 4+ by Q2 2024. 2 Planned to reach by end of 2024.

MolGen™

Our molecular generation tool, MolGen™, designs novel, diverse compounds. Using state-of-the-art deep reinforcement learning (RL), MolGen™ constructs synthesizable compounds with features that capture the important molecular interactions for binding and selectivity, as well as deliver the desired ADME-tox profile of the target candidate profile (TCP).

Output of PocketExpander™

MolGen™ – building & iterating compounds

Novel, potent, & selective compound

Hypothesis Generation

Unlike other AI drug discovery companies, DeepCure does not use AI to simply match a library of compounds to a known pocket. Instead, we use our patent-pending AI methods to create causal, data-driven, human-interpretable hypotheses for binding to a given protein target. This enables us to go beyond known binding sites and ligands.

Structure-Based

Our hypothesis generation starts with a rigorous analysis of available structural information. Beyond the standard steps involved in structure preparation, our proprietary protocols also include methods for repairing structures (e.g. building missing loops) and generating more robust structures leveraging molecular dynamics (MD).

PocketExpander™

For most therapeutic targets, there is no data, limited data, or biased data. PocketExpander™ allows us to generate novel hypotheses by leveraging AI/ML and computational chemistry methods to map the protein surface and identify novel binding modes (shown as colored dots). The outputs serve as the blueprints for our molecular generation tool, i.e. MolGen™.

Causal Analysis

ML methods for drug discovery typically focus on correlations, which lead to biases for the types of compounds that have previously failed in discovery. In contrast, DeepCure uses a causal ML approach to find binding interactions without the biases for fruitless binding modes to design truly novel compounds.

Medicinal chemists engage in a conversation with explainable models

DeepCure’s platform is designed to be human-interpretable. By seeing how molecules are predicted to interact with the protein, scientists can make rational design changes to the molecule and explore interesting molecular interactions – ensuring we don’t blindly follow the ML algorithm or chemists’ intuition.