Site Search
Computer Science

Photos

Christie Ezeife, Ph.D.Dr. Christie Ezeife
Dr. Christie Ezeife
Arunita Jaekel, Ph.D.Dr. Arunita Jaekel
Dr. Arunita Jaekel
Dr. Luis RuedaDr. Luis Rueda
Dr. Luis Rueda
Robin Gras, Ph.D.Dr. Robin Gras
Dr. Robin Gras
Windsor WaterfrontWindsor Waterfront Park
Windsor Waterfront Park
Dr. Scott GoodwinDr. Scott Goodwin
Dr. Scott Goodwin
Lambton TowerLambton Tower
Lambton Tower
Dr. Ziad Kobti lecturingDr. Ziad Kobti
Dr. Ziad Kobti
Alioune Ngom, Ph.D.Dr. Alioune Ngom
Dr. Alioune Ngom
Imran Ahmad, Ph.D.Dr. Imran Ahmad
Dr. Imran Ahmad
Xiaobu Yuan, Ph.D.Dr. Xiaobu Yuan
Dr. Xiaobu Yuan
Jessica Chen, Ph.D.Dr. Jessica Chen
Dr. Jessica Chen
Dr. Robert KentDr. Robert Kent
Dr. Robert Kent

Drug-target Interaction Network Prediction using Short Linear Motifs

Add this event into your calendar using the iCAL format
  • Fri, 02/10/2017 - 1:00pm - 3:00pm




Drug-target Interaction Network Prediction using Short Linear Motifs

MSc Thesis Proposal by:

Wenxiao Xu

Date:  Friday, February 10th, 2017
Time:  1: 00 pm – 3:00 pm
Location: 110, Odette Building

Abstract:  In genomic drug field, drug-target interaction prediction is necessary and valuable research, which can result in the identification of new drugs or novel targets for current drugs (Masoudi-Nejad, Mousavian, Bozorgmehr, 2013). There are several learning-based methods which can be divided into two main categories: similarity-based and feature-based. In this paper, we first use short linear motifs generated from protein sequences in the area of predicting drug-target interactions. The main idea of this thesis is to extract features from protein sequences and drug compounds separately, then combine the features together to do the classification. This method will be tested on four datasets which are Enzyme, GPCR, lon channel and Nuclear receptor.

  Regarding protein features collection, after motifs are obtained using Multiple EM for Motif Elucidation (MEME), we score them in two approaches: I-score which is counting motifs according to the position-specific scoring matrix (PSSM), and Sliding windows. In terms of drug representation, molecular substructure fingerprint defined in PubChem database is an effective descriptor which we use in this paper. Next, apply different classifications on them, and compare the performances.

Thesis Committee:
Internal Reader: Dr. Mehdi Kargar
External Reader: Dr. Dilian Yang
Advisor: Dr. Alioune Ngom & Dr. Luis Rueda



csgradinfo@uwindsor.ca
(519)253-3000


See More: