Recursion Pharmaceuticals, Inc.

Mason L Victors

Blake C Borgeson

Scott Nielsen

Nathan C Wilkinson

Jorge Aguilera-Iparraguirre

Berton Allen Earnshaw

Ronald Wakim Alfa

David Healey

Cedric St-Jean-Leblanc

Chris Gibson

Ian Quigley

Peter Foster McLean

Nathan Henry Lazar

Renat Nailevich Khaliullin

Katie-Rose Skelly

James Douglas Jensen

Safiye Celik

James Benjamin Taylor

Conor Austin Forsman Tillinghast

Marta Marie Fay

Jacob Carter Cooper

Seyhmus Guler

Kyle Rollins Hansen

Condie Thomas Swallow, Ii

August Orvis Allen

Eugene Yin-Chung Ting

Sarah Jordan Devore

Tongzhou Shen

Andrew David Blevins

Shweta Deepchand Bhandare

Michael Joseph Uloth

Lina Maria Nilsson

Denton Hallar Greenfield

Michael Haines

Kristin Ann Clark

Sara Marjean Moore

Lovina Roundy

Ted Douglas Monchamp

Summer Walid Elias

Systems and methods for determining whether a set of test perturbations discriminates over a null distribution for an on target effect against a first component of an entity are disclosed. The perturbations are perturbations of the first component and the entity comprises a plurality of components. For each perturbation in the set, a corresponding vector comprising a plurality of elements, is obtained. Each element comprises a distribution metric of measurements of a feature across instances of the entity upon exposure to the respective perturbation or (ii) a distribution metric of a respective dimension reduction component computed using the measurement of the plurality of features across instances of the entity upon the perturbation exposure. A composite metric is computed, using the vectors, and compared to a null distribution. When the composite metric is differentiated from the null distribution, the set of perturbations is deemed to discriminate the on target effect against the first component over the null distribution.

Systems and methods for discriminating effects on targets

The present disclosure relates to systems, non-transitory computer-readable media, and methods for embedding perturbation data via a machine learning model and filtering, aligning, and aggregating the embeddings to generate a genome-wide perturbation database for real-time generation of perturbation heatmaps. In particular, in one or more embodiments, the disclosed systems can receive a plurality of perturbation images portraying cells from a plurality of wells corresponding to a plurality of cell perturbations. Further, the systems can generate, utilizing a machine learning model, a plurality of well-level image embeddings from the plurality of perturbation images. Moreover, the systems can align, utilizing an alignment model, the plurality of well-level image embeddings to generate aligned well-level image embeddings. Additionally, the systems can aggregate, according to perturbations of one or more perturbation experiments, the well-level image embeddings to generate perturbation-level image embeddings. Furthermore, the systems can generate perturbation comparisons utilizing the perturbation-level image embeddings.

Utilizing machine learning models to synthesize perturbation data to generate perturbation heatmap graphical user interfaces

In a method of molecular scaffold hopping an interface of a scheduler computer sends instructions, prepared by the scheduler computer, to a job runner computer to perform a plurality of separate computational tasks. Each of the separate computational tasks includes calculating one or more chemical properties for a query molecule or molecules in a library of molecules. One or more of the plurality of separate computational tasks performed on the job runner computer are preemptible computing instances. Status indicators sent from the job runner computer are received by the interface for each of the plurality of separate computational tasks. The indicators are one of: incomplete, completed, or failed computing instances. The interface resends the instructions to the job runner computer that correspond to the separate computational tasks having the failed computing instance indicator to increase fault-tolerance against the separate computational tasks not attaining the completed computing instance indicator.

Preemptible-based scaffold hopping

Methods and systems for evaluating a query perturbation, in a cell based assay representing a test state, are provided. Control data points having dimensions representing measurements of different features across control cell aliquots are obtained. Test data points having dimensions representing measurements of different features across test cell aliquots are obtained. A composite test vector is computed between measures of central tendency across the control data points and measures of central tendency across the test data points. Query perturbation data points having dimensions representing measurements of different features across perturbation cell aliquots are obtained. A composite query perturbation vector is computed between measures of central tendency across the control data points and measures of central tendency across the plurality of query perturbation data points.

Systems and methods for evaluating query perturbations

The disclosure provides methods and systems for identifying a subset of compounds in a plurality of compounds. The identifying includes obtaining, for each compound, a vector including a set of elements, where each element includes a measurement of a different feature of an instance of a cell context upon exposure to the compound. The identifying includes performing the obtaining for a plurality of cell contexts, to obtain a plurality of vectors for each compound across different cell contexts. The identifying includes combining the vectors for each compound to form a combined vector for each compound, thereby forming a plurality of combined vectors representing different compounds. The identifying includes pruning the plurality of compounds to the subset of compounds based on a similarity between respective combined vectors in the plurality of combined vectors corresponding to compounds in the plurality of compounds.

Systems and methods for high throughput compound library creation

The disclosure provides methods and systems for identifying a subset of compounds in a plurality of compounds. The identifying includes obtaining, for each compound, a vector including a set of elements, where each element includes a measurement of a different feature of an instance of a cell context upon exposure to the compound. The identifying includes repeating the obtaining for a plurality of cell contexts, to obtain a plurality of vectors for each compound across different cell contexts. The identifying includes combining the vectors for each compound to form a combined vector for each compound, thereby forming a plurality of combined vectors representing different compounds. The identifying includes pruning the plurality of compounds to the subset of compounds based on a similarity between respective combined vectors in the plurality of combined vectors corresponding to compounds in the plurality of compounds.

A method for determining whether a set of perturbations discriminates over a null distribution for an on target effect against a first component of an entity is provided. The set of perturbations comprises perturbations of the first component and the entity comprises components including the first component. There is obtained, for each respective perturbation, a corresponding vector, thereby obtaining a plurality of vectors. Each such vector comprises a plurality of elements. Each element comprises (i) a distribution metric of a different feature, in a plurality of features, across a plurality of instances of the entity upon exposure of the plurality of instances of the entity to the respective perturbation or (ii) a distribution metric of a respective dimension reduction component computed using the plurality of features for a plurality of instances of the entity upon exposure of the plurality of instances of the entity to the respective perturbation.

Systems and methods for evaluating whether perturbations discriminate an on target effect

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Salt Lake City, UT, United States of America

Mason L Victors