Invention Grant
- Patent Title: Systems and methods for artificial intelligence-based binding site prediction and search space filtering for biological scaffold design
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Application No.: US18089319Application Date: 2022-12-27
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Publication No.: US12027235B1Publication Date: 2024-07-02
- Inventor: Mohamed El Hibouri , Julien Jorda , Thibault Marie Duplay , Ramin Ansari , Matthias Maria Alessandro Malago , Lisa Juliette Madeleine Barel , Joshua Laniado
- Applicant: Pythia Labs, Inc.
- Applicant Address: US CA Los Angeles
- Assignee: Pythia Labs, Inc.
- Current Assignee: Pythia Labs, Inc.
- Current Assignee Address: US CA Los Angeles
- Agency: Choate, Hall & Stewart LLP
- Agent William R. Haulbrook; Ronen Adato
- Main IPC: G01N33/48
- IPC: G01N33/48 ; G16B15/30 ; G16B40/00 ; G16B45/00

Abstract:
Presented herein are systems and methods for predicting which amino acid sites of a target proteins of interest will be binding sites—for example, locations and/or identifications of particular amino acid sites—that are amenable or likely to participate in binding interactions with other ligands, such as other proteins. These binding site predictions may, for example, be generated for target proteins that are implicated in disease and, accordingly, be targets for potential new biologic drugs. Binding site prediction technologies described herein may thus be used to guide design and/or testing of new and/or custom biologic drugs, either experimentally or in-silico. In this manner, binding site prediction technologies of the present disclosure can facilitate design and/or testing of new biologic drugs, leading to new and improved candidates and/or improving, among other things, developmental efficiency, success rates of clinical trials, and time to market.
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