Int. J. Bioinformatics Research and Applications, Vol. 12, No. 1, 2016 19 Copyright © 2016 Inderscience Enterprises Ltd. A complete review of computational methods for human and HIV-1 protein interaction prediction Debasmita Pal and Kartick Chandra Mondal* Department of Information Technology, Jadavpur University, Kolkata, West Bengal, India Email: debasmita.p12@gmail.com Email: kartickjgec@gmail.com *Corresponding author Abstract: Human Immunodeficiency Virus Type 1 (HIV-1) has grabbed the attention of virologists in recent times owing to its life-threatening nature and epidemic spread throughout the globe. The virus exploits a complex interaction network of HIV-1 and human proteins for replication, and causes destruction to the human immunity power. Antiviral drugs are designed to utilise the information on viral–host Protein–Protein Interactions (PPIs), so that the viral replication and infection can be prevented. Therefore, the prediction of novel interactions based on experimentally validated interactions, curated in the public PPI database, could help in discovering new therapeutic targets. This article gives an overview of HIV-1 proteins and their role in virus-replication followed by a discussion on different types of antiretroviral drugs and HIV-1– human PPI database. Thereafter, we have presented a brief explanation of different computational approaches adopted to predict new HIV-1–human PPIs along with a comparative study among them. Keywords: HIV-1 proteins; antiretroviral drugs; human protein interaction database; interactions prediction; association rule mining. Reference to this paper should be made as follows: Pal, D. and Mondal, K.C. (2016) ‘A complete review of computational methods for human and HIV-1 protein interaction prediction’, Int. J. Bioinformatics Research and Applications, Vol. 12, No. 1, pp.19–46. Biographical notes: Debasmita Pal completed her Master of Engineering in Software Engineering from Jadavpur University, India. Before starting her postgraduation, she has collected hands-on software developing experiences for more than one and half years in IT industry. Her primary fields of interest in research are data warehousing, data mining and bioinformatics. Kartick Chandra Mondal is an Assistant Professor in the Department of Information Technology at Jadavpur University, India. His research interests are in the area of data mining, soft computing, bioinformatics, biodiversity and cloud computing. Before joining as Assistant Professor, he completed his PhD from the University of Nice Sophia Antipolis, France, and served as Postdoctoral Researcher for one year in the University of Strasbourg, France.