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Copyright (C) 2014 Jianxin Wang(,Huimin Luo(

This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program; if not, see

Jianxin Wang(,Huimin Luo( School of Information Science and Engineering Central South University ChangSha CHINA, 410083

Computational drug repositioning

MBiRW is one novel computational method, which utilizes comprehensive similarity measures and Bi-Random walk algorithm to identify potential novel indications for a given drug.


  1. DrugSimMat and DiseaseSimMat store drug similarity matrix and disease similarity matrix, respectively;

  2. DiDrAMat stores known disease-drug association information;

  3. DrugsName and DiseasesName store drug ids and disease ids, respectively;

  4. For each drug pair, the number of their sharing common diseases is stored in shareWrr.mat;

  5. For each disease pair, the number of their sharing common drugs is stored in shareWdd.mat;

  6. CDataSets store the combined datasets; Datasets_indep store the independent dataset.


  1. normFun.m: function implementing normalization;

  2. setparFun.m: function analyzing similarity network;

  3. nManiCluester.m : function implementing cluster operation by calling cluster_one-1.0;

  4. MBiRW: predict potential indications for drugs;

All files of Dataset and Code should be stored in the same folder to run MBiRW.