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An Integrative Approach to Drug Repositioning Using Decision Tree Based Machine Learning

Award Number: F31LM013058
ORGANIZATION: NATIONAL LIBRARY OF MEDICINE
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: FELLOWSHIP/SCHOLARSHIP/STUDENT LOANS
PERIOD OF PERFORMANCE START DATE: 03/01/2019
PERIOD OF PERFORMANCE END DATE: 02/28/2022

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An Integrative Approach to Drug Repositioning Using Decision Tree Based Machine Learning - PROJECT SUMMARY/ABSTRACT Despite recent advances in life sciences and technology, the amount of money spent developing a single drug has stayed drastically expensive. Overall efficiencies have caused drug development to stay the same, with an average cost of $2.6 billion and 15 years to develop a single drug. Considering these challenges, there is an increased need for drug repositioning, in which new indications are found for existing or unapproved drugs. Here we introduce an approach that integrates only drug similarity metrics, such as side effect, structure, and target similarities, to identify novel indications for drugs. By focusing on drug similarity metrics, our proposed method allows for applications towards orphan molecules that presently have no primary indication. To improve upon the current methods of drug repurposing, we propose the developing of a computational approach that utilizes multiple data types within a machine-learning framework in order to predict indications a drug may treat. Based on the observations that similar drugs are used for similar indications, this method utilizes publicly available databases to identify associations between drugs, and integrates drug similarity data, as well as drug-target specific information, into a machine-learning framework in order to accurately predict indications for these drugs. Altogether, our method provides a novel, broadly applicable strategy that can identify novel indications, allowing for an accelerated and more efficient method for future drug development and repositioning efforts.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2021 ( Subtotal = $46,036 )
2021	2021	WEILL MEDICAL COLLEGE OF CORNELL UNIVERSITY	1300 YORK AVE	NEW YORK	NY	10065	NEW YORK	USA	Medical Library Assistance	000	3	1/15/2021	NON-COMPETING CONTINUATION	$45,520
2021	2021	WEILL MEDICAL COLLEGE OF CORNELL UNIVERSITY	1300 YORK AVE	NEW YORK	NY	10065	NEW YORK	USA	Medical Library Assistance	001	3	2/10/2021	NON-COMPETING CONTINUATION	$516
														Subtotal = $46,036

Issue Date FY: 2020 ( Subtotal = $45,520 )
2020	2020	WEILL MEDICAL COLLEGE OF CORNELL UNIVERSITY	407 E 61ST ST RM 106 1ST FL	NEW YORK	NY	10065	NEW YORK	USA	Medical Library Assistance	000	2	2/20/2020	NON-COMPETING CONTINUATION	$45,520
														Subtotal = $45,520

Issue Date FY: 2019 ( Subtotal = $45,016 )
2019	2019	WEILL MEDICAL COLLEGE OF CORNELL UNIVERSITY	407 E 61ST ST RM 106 1ST FL	NEW YORK	NY	10065	NEW YORK	USA	Medical Library Assistance	000	1	2/8/2019	NEW	$45,016
2019	2019	WEILL MEDICAL COLLEGE OF CORNELL UNIVERSITY	407 E 61ST ST RM 106 1ST FL	NEW YORK	NY	10065	NEW YORK	USA	Medical Library Assistance	001	1	2/8/2019	NEW	$0
														Subtotal = $45,016

Grand Total All Awards = $136,572

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An Integrative Approach to Drug Repositioning Using Decision Tree Based Machine Learning

Award Number: F31LM013058

ORGANIZATION: NATIONAL LIBRARY OF MEDICINE

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: FELLOWSHIP/SCHOLARSHIP/STUDENT LOANS

PERIOD OF PERFORMANCE START DATE: 03/01/2019

PERIOD OF PERFORMANCE END DATE: 02/28/2022

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