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Techniques for identifying optimal combinations of drugs

A drug and combination analysis technology, applied in the field of automation technology, can solve problems such as difficult to predict combination activity

Pending Publication Date: 2021-08-06
INT BUSINESS MASCH CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these tools typically rely on one data source, such as expression levels (e.g., proteins) or cell treatment with drugs, and often do not integrate raw data from experiments with data available from publications
Therefore, it remains difficult to predict whether the two drugs will have improved combined activity

Method used

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  • Techniques for identifying optimal combinations of drugs
  • Techniques for identifying optimal combinations of drugs
  • Techniques for identifying optimal combinations of drugs

Examples

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Embodiment Construction

[0022] Methods, systems and computer readable media for identifying optimal combinations of drugs are provided. The technology can analyze one or more of sequencing, transcriptomic, proteomic, and other group data, as well as in vitro and in vivo data from experimental treatments with approved or clinical drugs, to identify combination to treat a patient's medical condition. Data may be published or generated by any suitable source (eg, academic institutions, government laboratories, private or public pharmaceutical companies, etc.).

[0023] figure 1 An example environment 100 for use with embodiments of the invention is shown in . Specifically, the environment includes one or more server systems 10 and one or more client or end-user systems 20 . Server system 10 and client system 20 may be remote from each other and communicate over network 35 . A network can be implemented by any number of any suitable communications medium (eg, a wide area network (WAN), a local area n...

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Abstract

Techniques are provided for administering combination of drug treatments to a patient. Information is analyzed pertaining to individual drug treatments from structurally or functionally defined drugs, drugs with unknown functions, and corresponding effects, wherein the information includes omic data including genes, transcripts, proteins, as well as experimental data from published documents. One or more combinations of drug treatments are identified with combined effects producing a positive result, wherein the positive result is directed to a specific aspect of patient health. The identified combination of drug treatments are administered to a patient.

Description

technical field [0001] Embodiments of the invention relate to the identification of drug combinations, and more particularly to automated techniques for identifying drug combinations to treat biological pathways corresponding to diseases. Background technique [0002] For people with cancer, drug combinations are often better than single drug therapy. For example, drug combinations can prevent the development of resistance that can occur during single-drug treatment of a disease. However, the biological activity of cancer drugs is often evaluated as a single agent, and the prediction of drug combinations beneficial to patients remains challenging. [0003] In some cases, in vivo experiments can be used to evaluate drug combinations, which are often cumbersome and expensive. This procedure may be limiting if a large number of different drugs are available in combination, as it may not be feasible to test all possible combinations in all possible in vivo models. [0004] In...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16B45/00G16B5/00A61K45/06
CPCA61K45/06G16B5/00G16B20/00G16H20/10G16B45/00
Inventor M·桑切茨-马丁C·胡特纳徐佳C·L·埃弗特E·德汉薛上V·米其林
Owner INT BUSINESS MASCH CORP