公开(公告)号：WO2022235293A1

公开(公告)日：2022-11-10

申请号：PCT/US2021/057331

申请日：2021-10-29

Applicant: PEPTILOGICS, INC.

Inventor： LEE, Francis ,  STECKBECK, Jonathan D. ,  HOLSTE, Hannes

IPC: G06F19/00

Abstract: In one aspect, a computer-implemented automated flow synthesis platform configured to use an artificial intelligence (AI) engine is disclosed and includes a reaction chamber configured to synthesize a sequence, detectors configured to monitor the synthesis of the sequence in the reaction chamber, wherein the synthesis uses an automated flow process, and a computing device communicatively coupled to the detectors. The computing device receives measurements from the one or more detectors, wherein the measurements comprise a spectral profile at each coupling of each amino acid in the sequence, trains, using training data comprising the measurements, machine learning models to determine a synthesizing recipe that enables the sequence to be synthesized, wherein the synthesizing recipe comprises parameters used during the automated flow process to synthesize the sequence, and controls, using the synthesizing recipe, the synthesis of the sequence in the reaction chamber.

公开(公告)号：WO2022108733A1

公开(公告)日：2022-05-27

申请号：PCT/US2021/057328

申请日：2021-10-29

Applicant: PEPTILOGICS, INC.

Inventor： LEE, Francis ,  STECKBECK, Jonathan D. ,  HOLSTE, Hannes

IPC: G06N99/00 ,  G06N7/00

Abstract: In one aspect, a method includes generating a design space for a peptide for an application. The generating includes identifying sequences for the peptide, and updating the sequences by determining, for each of the sequences, a respective set of activities pertaining to the application. The updating produces updated sequences each having updated respective activities. The method includes generating, based on the updated sequences, a solution space within the design space. The solution space includes a target subset of the updated sequences. The method includes performing, using a machine learning model to process the solution space, trials to identify a candidate drug compound that represents a sequence having a level of activity that exceeds a threshold level, and transmitting information describing the candidate drug compound to a computing device.

公开(公告)号：WO2022250726A1

公开(公告)日：2022-12-01

申请号：PCT/US2021/057364

申请日：2021-10-29

Applicant: PEPTILOGICS, INC.

Inventor： LEE, Francis ,  STECKBECK, Jonathan D. ,  HOLSTE, Hannes ,  MASON, Steven

IPC: G06F19/00

Abstract: In one aspect, a method is disclosed for using dialects to generate candidate drug compounds. The dialects describe sequences of the candidate drug compounds and activities associated with the sequences. The method includes receiving a data set, training, using the data set, first layers of a machine learning model to determine relationships of components of a portion of a string described by a first dialect. The components pertain to amino acids associated with first activity level information of the sequences. The method includes training, using the data set and the portion of the string, a final layer to generate a remainder of the string. The remainder pertains to second activity level information of the sequences. The method includes generating, using the first and final layer, the string comprising the portion and the remainder. The string represents a candidate drug compound.

公开(公告)号：WO2022236126A1

公开(公告)日：2022-11-10

申请号：PCT/US2022/028174

申请日：2022-05-06

Applicant: PEPTILOGICS, INC.

Inventor： LEE, Francis ,  STECKBECK, Jonathan D. ,  HOLSTE, Hannes

IPC: G16C20/10 ,  G16B99/00

Abstract: In one aspect, a method is disclosed wherein an artificial intelligence (AI) enabled automated flow synthesis platform is configured to generate optimized synthesizing recipes which enable a sequence to be synthesized using an automated flow process. The method includes receiving a synthesizing recipe including parameters used during the automated flow process to synthesize the sequence, receiving spectral data from detectors monitoring the automated flow process in a reaction chamber, where the spectral data corresponds to a reaction point in the automated flow process, and determining, based on indicators associated with the spectral data, characteristics of a chemical reaction at the reaction point in the automated flow process. An artificial intelligence engine determines the chemical reaction. The method includes associating, based on the spectral data, the synthesizing recipe with the chemical reaction.

公开(公告)号：WO2022046753A1

公开(公告)日：2022-03-03

申请号：PCT/US2021/047325

申请日：2021-08-24

Applicant: PEPTILOGICS, INC.

Inventor： LEE, Francis ,  STECKBECK, Jonathan D. ,  HOLSTE, Hannes

IPC: G16B40/00 ,  G16B40/10 ,  G16B40/20 ,  G16B40/30 ,  G06F17/14 ,  G06N3/0445 ,  G06N3/0454 ,  G06N3/0472 ,  G06N3/0481 ,  G06N3/08 ,  G06N3/126 ,  G06N7/005 ,  G16C20/30 ,  G16C20/70

Abstract: In one aspect, a method for pre-clinical validation of an effectiveness of a candidate drug compound is disclosed. The method may include receiving, at a processing device, a signal that comprises at least two wavelengths that are each associated with a respective biomarker, wherein the signal is received subsequent to administering the candidate drug compound to a proxy organism, such organism including at least two assays configured to reveal the respective biomarkers. The method also may include analyzing the signal to obtain the at least two wavelengths, and detecting, based on an analysis of the at least two wavelengths, whether each of the respective biomarkers are present.

公开(公告)号：WO2021162874A1

公开(公告)日：2021-08-19

申请号：PCT/US2021/015745

申请日：2021-01-29

Applicant: PEPTILOGICS, INC.

Inventor： LEE, Francis ,  STECKBECK, Jonathan D. ,  HOLSTE, Hannes

IPC: G06N20/00 ,  G06F19/00 ,  G06N5/02

Abstract: An artificial intelligence engine for generating drug compounds is disclosed. In one embodiment, a method may include generating a biological context representation of a set of drug compounds. The biological context representation includes a first data structure having a first format. The method may also include translating, by the artificial intelligence engine, the first data structure having the first format to a second data structure having a second format. The method may also include generating, based on the second data structure having the second format, a set of candidate drug compounds. The method may also include classifying a candidate drug compound from the set of candidate drug compounds as a selected candidate drug compound.