PREDICTING DRUG-TARGET INTERACTIONS AND USES FOR DRUG REPOSITIONING AND REPURPOSING

Patent №

US 10,916,331

Granted

2021-02-09

Filed 2017

Owner

GEORGETOWN UNIVERSITY

Lab

AI components

1

vision

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15577719

Described herein are methods of predicting drug-target interactions and methods of using the information for drug repurposing. The methods described herein combine different descriptors, including, for example, atom pair similarity, shape, topology and chemical signatures, physico-chemical functional descriptors, contact points of the ligand and the target protein, chemical similarity, and docking score.

VisionG16B 15/30G06F 5/01G06F 17/11G16B 15/00G06F 2111/10

AI classification

Vision0.61
Knowledge representation0.49
AI hardware0.29
Machine learning0.08
Evolutionary computation0.06
Speech0.00
Natural language0.00
Planning0.00

Ownership

GEORGETOWN UNIVERSITY

assignment · 465060793

Assignors

DAKSHANAMURTHY, SIVANESAN, BYERS, STEPHEN W.

On an employer assignment, the assignors are typically the inventors.

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