Hepatitis Monthly

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Prediction of hepatitis B virus lamivudine resistance based on YMDD sequence data using an artificial neural network model

Mehrdad Ravanshad 1 , * , Farzaneh Sabahi 2 , Shahab Falahi 3 , Azra kenarkoohi 2 , Samad Amini Bavil Olaee 4 , Seyed Younes 5 , Hossein Riahi 6 and Sayad Khanizade 2
Authors Information
1 Department of Virology, Faculty of Medical Sciences, Tarbiat Modares University, ravanshad@modares.ac.ir, IR.IRan
2 Department of Virology, Faculty of Medical Sciences, Tarbiat Modares University, IR.IRan
3 Department of Microbiology, School of Medicine, Ilam University of Medical Sciences, IR.IRan
4 Department of Biotechnology, Pasteur Institute of Iran, IR Iran
5 Hosseini, Department of Virology, Faculty of Medical Sciences, Tarbiat Modares University, Tehran
6 Madvar, Water Structures and Engineering Department, Tarbiat Modares University, Tehran
Article information
  • Hepatitis Monthly: , 11 (2); 108-113
  • Article Type: Research Article
  • Received: April 24, 2010
  • Accepted: December 17, 2010

To Cite: Ravanshad M, Sabahi F, Falahi S, kenarkoohi A, Olaee S A, et al. Prediction of hepatitis B virus lamivudine resistance based on YMDD sequence data using an artificial neural network model, Hepat Mon. Online ahead of Print ;11(2):108-113.

Abstract
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